The impact of climate change on education: An evidence synthesis focused on classroom experience in hot climates - Haßler, Björn; Eso, Olamide; Villavicencio, Xuzel; Jengo, Eunice; McBurnie, Chris (Open Development & Education, 2024)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 11403758 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1139 ZenodoArchiveConcept: 11403757
Keywords: Coming soon; Internal; _publish; _r:AddedByMyEducationEvidence

A comparison between grey-box models and neural networks for indoor air temperature prediction in buildings - Vivian, J.; Prataviera, E.; Gastaldello, N.; Zarrella, A. (Journal of Building Engineering, 2024)
Model Predictive Control has gained much attention due to its potential to improve building operations by reducing costs, integrating renewable energy sources, and increasing thermal comfort. This paper aims to compare the accuracy of grey-box models based on resistance–capacitance (RC) networks and Long-Short-Term Memory (LSTM) neural networks in the prediction of the buildings’ thermal response, which is a key feature for the successful implementation of predictive controllers. Indoor air temperature prediction tests have been performed on simulated and measured data from buildings with different thermal insulation and thermal mass during both heating and cooling seasons. Results show that neural networks have, on average, a better prediction performance than grey-box models. Both modelling approaches are affected by the building characteristics and by the season considered. The grey-box models require less training data, although the latter seems to play a role only in the worse-performing tests. When user setpoint changes in the testing phase, the LSTM neural network shows a significant drop in the root mean square error. In conclusion, although LSTM outperforms grey-box models on average, the reduced training data and higher reliability under normal operating conditions, as well as their linearity, make RC models a strong alternative for predictive controllers.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.jobe.2024.108583 5072953:7SFU48A9 5072953:GYNWF4CU openalex: W4391070705
Keywords: Building simulation; Grey-box models; Long Short-Term Memory Neural Networks; Model Predictive Control; _important; _z:class:countries; _z:class:themes; _z:no_pdf; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T11371 Urban Wind Environment and Air Quality Modeling; oa:topic:T11529 Refrigeration Systems and Technologies; openalex:n:1; openalex:yes; selected_for:Predictive models for classroom conditions 2024

DeepVision based detection for energy-efficiency and indoor air quality enhancement in highly polluted spaces - Wei, Shuangyu; Tien, Paige; Zhang, Wuxia; Wei, Zhichen; Wang, Zu; Calautit, John Kaiser (Journal of Building Engineering, 2024)
Cooking can generate substantial heat from cooking equipment, potentially resulting in reduced thermal comfort levels if this excess heat is not adequately dissipated. Additionally, it can significantly affect indoor air quality (IAQ), not only in kitchen spaces but also in adjacent areas lacking sufficient ventilation. To ensure a healthy and comfortable indoor environment while avoiding unnecessary energy use, this research proposes an approach for detecting equipment usage. Utilizing deep learning and computer vision techniques (referred to as DeepVision), this method aids the operation of demand-driven ventilation systems in highly polluted spaces. A Faster RCNN model was employed and trained to detect kitchen equipment usage in real-time. The ventilation rate for the kitchen space was adjusted based on this real-time detection. Experimental tests were carried out in a case study kitchen and results showed that the detection model achieved an overall F1 score of 0.9142. Overall, the model achieved good performance in real-time detection, accurately identifying appliances in use, such as stoves, ovens, and toasters. Field experimental results showed the advantages of combining mechanical ventilation methods, such as extractor fans and cooker hoods, to mitigate IAQ issues while also achieving energy savings. Moreover, the energy simulations demonstrate its potential to reduce energy consumption by dynamically adjusting ventilation rates in response to real-time equipment usage. When the fan speed was varied according to the real-time detection method, the PM2.5 concentration in the cooking period was 16.5 % lower, with only a 3.7 % rise in fan power and a 0.8 % rise in daily heating demand, compared to using a constant fan speed.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.jobe.2024.108530 5072953:ZQ5TL6YS openalex: W4390858395
Keywords: _important; _z:class:countries; _z:class:themes; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10990 Airborne Transmission of Respiratory Viruses; oa:topic:T12120 Low-Cost Air Quality Monitoring Systems; openalex:n:1; openalex:yes; selected_for:Predictive models for classroom conditions 2024

Impacts of Extreme Weather Events on Education Outcomes: A Review of Evidence - Venegas Marin, Sergio; Schwarz, Lara; Sabarwal, Shwetlena (The World Bank Research Observer, 2024)
Extreme weather events are increasingly disrupting schooling. Yet, these are underrepresented in the climate change literature. Of 15 review articles on the economic impacts of climate change published since 2010, only three mention the impacts of climate change on education. We review available literature on the effects of weather extremes on education. We outline key pathways through which these events impact education outcomes, as well as the magnitude of those impacts. Evidence implies a significant and adverse relationship between heat and learning. Studies suggest surpassing a high temperature threshold makes learning difficult and results in learning losses. Across studies, each additional day subject to extreme heat reduces learning. Tropical cyclones, floods, and wildfires precipitate school closures, which halt learning. Evidence suggests that one day of school closures leads to one day of learning lost. Weather extremes also negatively impact education outcomes through health, nutrition, poverty, and fragility, among other distal pathways. We discuss the implications of this evidence for policy, including the need to adapt education systems to climate change. Mitigation and adaptation are both urgently needed as extreme weather events become more frequent and severe in the context of climate change.
KerkoCite.ItemAlsoKnownAs: 10.1093/wbro/lkae001 2129771:F96JM88U
Keywords: evidence_review; interesting

Project updates for Climate, Environment and Education Adaptation Research (CLEEAR) Tanzania Steering Committee - Villavicencio, Xuzel; Haßler, Björn; Jengo, Eunice (2024)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10944958 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1130 ZenodoArchiveConcept: 10944957
Keywords: _publish; _r:AddedByMyEducationEvidence

Digital Earth Partnership: Climate, Environment & Education in Tanzania – Gaps & Policy implications - Anderson, Edward (2024)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10912243 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1127 ZenodoArchiveConcept: 10912242
Keywords: Coming soon; _r:AddedByMyEducationEvidence

What impact do climate conditions in classrooms have on teachers? - Koomar, Saalim (2024)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10912313 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1129 ZenodoArchiveConcept: 10912312
Keywords: _publish; _r:AddedByMyEducationEvidence

Identifying and prioritizing strategies to strengthen climate resilience of education systems - Ryan, Benjamin; Garner, Shelby; Flynnn, Rachael (2024)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10912284 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1128 ZenodoArchiveConcept: 10912283
Keywords: Coming soon; _r:AddedByMyEducationEvidence

Assessing the growing threat of heat stress in the North Africa and Arabian Peninsula region connected to climate change - Hamed, Mohammed Magdy; Al-Hasani, Alaa A. Jasim; Nashwan, Mohamed Salem; Sa'adi, Zulfaqar; Shahid, Shamsuddin (Journal of Cleaner Production, 2024)
Climate change exacerbates extreme heat events in the North Africa and Arabian Peninsula (NAAP) region, posing a significant threat to human health and well-being. This study proposes a novel approach for reliable mapping of population exposure in NAAP to different UTCI levels under future climate change scenarios by improved prediction of UTCI using machine learning (ML) methods. Daily mean UTCI was calculated using hourly ERA-HEAT data from 1979 to 2022. Sobol's global sensitivity analysis was used to identify the most influential meteorological variables affecting UTCI. Three ML models were trained to predict monthly UTCI based on these variables. The best-performing model was used to generate historical and future projections of UTCI for four CMIP6 climate models under Paris Agreement goal scenarios. Finally, the projected change in population exposure to mean UTCI was assessed by comparing historical and future projections. The results showed a significant influence of air temperature, wind speed, surface pressure, solar radiation, and humidity on UTCI in NAAP. Estimation of UTCI using these variables showed a higher performance of random forest (RF) (Kling-Gupta Efficiency = 0.84) compared to other models. The projection of UTCI from CMIP6 climatic model simulations using the RF model revealed a decrease in UTCI for the 1.5 °C temperature rise scenario by 0.25–0.75 °C, while an increase by 0.25–0.75 °C for the 2.0 °C temperature rise scenario in most of NAAP. The study revealed that even a modest increase of 0.5 °C in global warming could lead to a 20-day increase in the number of days with moderate thermal stress in Egypt and Sudan and a significant increase in the number of days with strong thermal stress in the Arabian Peninsula. The population exposure to heat stress would increase significantly even under the most ambitious Paris Agreement goals. These findings highlight the urgent need for adaptation and mitigation strategies to protect public health and well-being in the NAAP region from escalating risks.
Keywords: Machine learning; Paris agreement goals; Population exposure; Thermal extremes; UTCI

The Impact of Climate Change on Education - Venegas Marin, Sergio; Schwarz, Lara; Sabarwal, Shwetlena (2024)
KerkoCite.ItemAlsoKnownAs: 2129771:2S3PRB7I
Keywords: evidence_review

Impact of Climate Change and Environmental Risks on Learning Outcomes - Haßler, Björn; Eso, Olamide; Villavicencio Peralta, Xuzel Ana; Waziri, Nafisa (Commonwealth Secretariat, 2024)
An output of the Open Development & Education (https://opendeved.net/), developed for 22CCEM.
ZenodoArchiveID: 10719044 ZenodoArchiveConcept: 10719043 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1079 2129771:R8TU4GMW 4874017:QWQBCKPL
Keywords: _forthcoming; _r:AddedByMyEducationEvidence; coming soon; evidence_review

South Sudan announces schools closure as heatwave deepens (Sudan Tribune, 2024)
March 16, 2024 (JUBA) – South Sudan on Saturday announced an indefinite closure of all schools due to heatwaves characterized by very high temperatures in recent days. The Health minister, Yolanda Awel Deng said the heatwave could last for two weeks, with temperatures ranging between 41 degrees and 45 degrees Celsius. “The government has decided to take the following measures, one, close down all schools with effect from March 18, two, during the closure of the schools, parents are advised to stop their children from playing outdoors for prolonged periods and they should also monitor children, especially the young ones, for signs of heat exhaustion and heatstroke,” Awel told reporters in the capital, Juba. Heatwaves, the minister said, can acutely impact large populations for short periods, often trigger public health emergencies, and result in excess mortality and cascading socioeconomic impacts like loss of work capacity and labor productivity and can also cause loss of health service delivery capacity. Awel said the disease surveillance department at the national Health ministry has put a system in place meant to detect and respond to cases, adding there are already cases of death related to excessive heat being reported in South Sudan. The Undersecretary in the Ministry of Environment, Joseph Africano Bartel said climate change is becoming a global phenomenon in which South Sudan will experience a lot of temperature fluctuations. Africano advised the public to take precaution against rising heatwaves in the country. He urged developed countries to cut emissions, saying South Sudan will soon experience climate change impact, including heavy rains, floods and droughts. A circular from the Environment and Forestry ministry warns of likely illness and deaths among adult and children should they be exposed to the high heatwaves. According to the World Meteorological Organization (WMO), a heatwave can be defined as a period where local excess heat accumulates over a sequence of unusually hot days and nights. As such, heatwaves amplify many risks, such as health-related or economic risks, including increased human mortality, drought and water quality, wildlife and smoke, power shortages and agricultural losses.
KerkoCite.ItemAlsoKnownAs: 2129771:XG4BC8Z7 2129771:XG4BC8Z7 2129771:XG4BC8Z7 2129771:XG4BC8Z7 2129771:XG4BC8Z7 2129771:XG4BC8Z7 2129771:XG4BC8Z7 5072953:VHMEVJNH
Keywords: _z:class:countries; evidence_review

South Sudan closes schools due to extreme heatwave (Monitor, 2024)
"During the closure of the schools, parents are advised to stop their children from playing outdoors for prolonged periods and they should also monitor children, especially the young ones, for...
Keywords: _z:class:countries; evidence_review_2

South Sudan closes schools due to extreme heatwave (Monitor, 2024)
"During the closure of the schools, parents are advised to stop their children from playing outdoors for prolonged periods and they should also monitor children, especially the young ones, for...
Keywords: _z:class:countries

South Sudan shutters all schools as it prepares for an extreme heat wave (Washington Post, 2024)
South Sudan’s government is closing down all schools starting Monday as the country prepares for a wave of extreme heat expected to last two weeks
Keywords: _z:class:countries; evidence_review_2

South Sudan shutters all schools as it prepares for an extreme heat wave - Machol, Deng (AP News, 2024)
South Sudan’s government is closing down all schools starting Monday as the country prepares for a wave of extreme heat expected to last two weeks.
KerkoCite.ItemAlsoKnownAs: 2129771:F98WG4DI 2129771:F98WG4DI 2129771:F98WG4DI 2129771:F98WG4DI 2129771:F98WG4DI 2129771:F98WG4DI 2129771:F98WG4DI 5072953:MVVSI96A
Keywords: _z:class:countries; evidence_review

UPDATE: The government of the republic of South Sudan has ordered the closure of all schools starting from Monday, 18th, March 2024 due to the high temperatures. According to the country's health ministry, there are reported cases of death resulting from high heat #NTVNews https://t.co/8s6Vr71yK1 - NTV UGANDA [@ntvuganda] (Twitter, 2024)
KerkoCite.ItemAlsoKnownAs: 2129771:SJQKPD99 2129771:SJQKPD99 2129771:SJQKPD99 2129771:SJQKPD99 2129771:SJQKPD99 2129771:SJQKPD99 2129771:SJQKPD99 5072953:449RER6Y
Keywords: _z:class:countries; evidence_review

Inclusive Climate Action: A Scoping Review on the Representation and Inclusion of People with Intellectual Disability in Climate Change Research - Watfern, Chloe; Carnemolla, Phillippa (Research Square (Research Square), 2024)
Abstract Climate change disproportionally affects people with intellectual disability. Despite this, people with intellectual disability are rarely included in conversations about just environmental futures. Using PRISMA-P guidelines, this scoping review maps the academic literature surrounding intellectual disability and climate change. We identified three key themes in the thirteen articles included in our review. First, people with intellectual disability experience heightened risks and barriers during and after natural disasters. Second, they are largely absent from government disaster planning and response. Third, inclusive education initiatives are in their infancy. Overall, people with intellectual disability are not involved as leaders or collaborators in research or practice related to climate change. The literature focuses almost exclusively on natural disasters as opposed to the broader context of the climate crisis. We take a critical lens, reframing the role of people with intellectual disability in climate change discourses: from helpless victims to potential caretakers and advocates for a safer climate.
openalex: W4392699796
Keywords: _z:class:countries; openalex:import; openalex:yes

A systematic review of ambient heat and sleep in a warming climate - Chevance, Guillaume; Minor, Kelton; Vielma, Constanza; Campi, Emmanuel; O’Callaghan-Gordo, Cristina; Basagaña, Xavier; Ballester, Joan; Bernard, Paquito (Sleep Medicine Reviews, 2024)
Climate change is elevating nighttime and daytime temperatures worldwide, affecting a broad continuum of behavioral and health outcomes. Disturbed sleep is a plausible pathway linking rising ambient temperatures with several observed adverse human responses shown to increase during hot weather. This systematic review aims to provide a comprehensive overview of the literature investigating the relationship between ambient temperature and valid sleep outcomes measured in real-world settings, globally. We show that higher outdoor or indoor temperatures are generally associated with degraded sleep quality and quantity worldwide. The negative effect of heat persists across sleep measures, and is stronger during the hottest months and days, in vulnerable populations, and the warmest regions. Although we identify opportunities to strengthen the state of the science, limited evidence of fast sleep adaptation to heat suggests rising temperatures induced by climate change and urbanization pose a planetary threat to human sleep, and therefore health, performance, and wellbeing.
openalex: W4392505490
Keywords: _z:class:countries; evidence_review; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

‘We don’t need air con’: how Burkina Faso builds schools that stay cool in 40C heat (The Guardian, 2024)
Architects use local materials and merge traditional techniques with modern technology to make schools and orphanages cool, welcoming places
KerkoCite.ItemAlsoKnownAs: 2129771:BA957YF9 2129771:BA957YF9 2129771:BA957YF9 2129771:BA957YF9 5072953:3PWYGTL3 5072953:EIAHFERP
Keywords: Africa; Architecture; Burkina Faso; Environment; _z:class:countries; evidence_review_2

Improving the forecast of fine dust emission and transmission from cattle barns: a comprehensive data package and analysis - Mostafa, Ehab; Paßmann, Jessica; Abdellatif, Hassan R. S.; Buescher, Wolfgang (Environmental Sciences Europe, 2024)
Abstract The livestock sector emits harmful gases and bioaerosols, impacting animals, plants, and human health. Ventilation systems in livestock buildings disperse polluted air, affecting nearby air quality depending on the wind patterns and atmospheric stability. Understanding pollutant emission and transmission is crucial for environmental mitigation. This study focuses on fine dust dispersion from dairy cattle buildings. Chemical and microscopic analyses were conducted to identify the cattle barn dust sources. Particle mass emissions were quantified by measuring particle mass concentrations and air volume flow using the tracer gas decay method. Seasonal and daily effects on dust emissions were studied. Remarkably, particle emissions remained below prescribed values in Germany. Additionally, particle transmission, including resuspension and adsorption parameters, was investigated using a developed wind tunnel. Resuspension measurements revealed minimal resuspended particle mass due to low ground wind speeds. Notably, wheat, as a model plant, exhibited high adsorption rates, which increased with particle size. Overall, the findings for resuspension and adsorption parameters provide an initial database for understanding fine dust transmission from cattle barns.
Keywords: _z:class:countries

Long-Term Characterization of Indoor Air Quality at a Research Area Building: Comparing Reference Instruments and Low-Cost Sensors - Calvello, Mariarosaria; Agresti, Francesca; Esposito, Francesco; Pavese, Giulia (Indoor Air, 2024)
Indoor particle number size distribution (0.3-10 μm), equivalent black carbon (eBC), and Ångström absorption exponent (AAE) data were collected in real conditions, over a ten-month period at a research area building, in a semirural site, to characterize indoor aerosol loading. Additionally, during the campaign, emissions from four indoor sources commonly used at the site (incense, traditional cigarettes, electronic cigarettes, and heat-not-burn products) were studied during short-term experiments with the support of ultrafine particle (UFP) monitoring. Two particle low-cost sensors (PM LCS), Sensirion SPS30 (0.3-10 μm), were evaluated in the long-term campaign and during fast emission processes, to assess their accuracy and reliability. Penetration and infiltration of both fine and coarse particles from outdoor traffic, domestic heating, and dust resuspension were inferred as the main sources of indoor aerosols on a long-term basis. Moreover, long-range transported dust aerosols were found to influence indoor coarse number concentration. Among the source events, heat-not-burn (HNB) product resulted in the lowest effect on indoor air quality, whereas the highest AAE values from incense and traditional cigarettes suggest the brown carbon (BrC) production. The highest emission of UFP was caused by electronic cigarettes (e-cig), which spanned particles from the ultrafine to the coarse fractions. This was likely due to the release of metal and silicate from the coil. Analysis of number size distributions of the four experiments revealed the emission of fine particles (0.3-1 μm) and super micron particles. SPS30s performance was satisfactory in terms of accuracy, precision, and durability, indicating that these devices are suitable for monitoring indoor air quality. Additionally, the two PM LCS were able to detect all simulated fast emission sources.
KerkoCite.ItemAlsoKnownAs: 5072953:5LC9WZ9A 5072953:M745DDSL
Keywords: _important; _z:class:countries

Applications of artificial intelligence for energy efficiency throughout the building lifecycle: An overview - Yussuf, Raheemat O.; Asfour, Omar S. (Energy and Buildings, 2024)
The use of Artificial Intelligence (AI) technologies in buildings can assist in reducing energy consumption through enhanced control, automation, and reliability. This review aims to explore the use of AI to enhance energy efficiency throughout various stages of the building lifecycle, including building design, construction, operation and control, maintenance, and retrofit. The review encompasses multiple studies in the field published between 2018 and 2023. These studies were identified through keyword searches that best represent the topic, using various research databases. In addition to summarizing the technologies and approaches related to AI and energy efficiency, this review discusses future opportunities for the application of AI in energy efficiency within these lifecycle stages. The review highlights that AI-based solutions are currently employed in building design generation and optimization, decision-making, predictive and adaptive control, fault detection and diagnosis, as well as energy benchmarking. These applications effectively facilitate energy efficiency in buildings to meet today's energy needs. However, further research is needed to explore the use of AI in the construction phase to support the development of energy-efficient construction techniques and systems, in addition to scheduling and predictive decision-making.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2024.113903 5072953:DJZPDDXN openalex: W4390748878
Keywords: Artificial Intelligence; Building Lifecycle; Buildings; Energy Efficiency; _z:class:countries; _z:class:themes; _z:no_pdf; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T11006 Building Information Modeling in Construction Industry; oa:topic:T12120 Low-Cost Air Quality Monitoring Systems; openalex:n:1; openalex:yes

Improved grey principal component analysis neural network based adaptive thermal comfort model: Application in the enclosed cabin with microclimatic conditions - Chen, Siyu; Xue, Hongjun; Zhang, Xiaoyan; Dang, Sina; Qu, Jue (Energy and Buildings, 2024)
Predicting the thermal comfort of operators in enclosed cabins under extreme operational conditions is crucial for the enhanced and optimal design of cabin air circulation systems. In this study, an improved supervised machine learning algorithm, namely a Grey Principal Component Analysis (G-PCA) was proposed to evaluate the operators’ thermal comfort. The comprehensive dataset was first attained and constructed from the proposed 32 indicators, which recorded each tested object’s EEG and physiological features, core body temperature, skin temperature, and subjective assessments. The accuracy of the proposed model was demonstrated by comparing it with the results predicted via existing indicator sets (PMV and 7-point skin temperature) and modelling algorithms (BP and PCA BP). The results showed that the prediction accuracy of the PMV model, 7-point skin temperature, the 32 indicators were found to be 79.4%, 82.8%, 96.1%, utilising the G-PCA WNN algorithm, and the prediction accuracy of BP, PCA BP, G-PCA WNN is 82.3%, 89.9%, 96.1%, based on the 32 indicators. A conclusion could be drawn that the proposed 32 indicators can incorporate a more comprehensive range of thermal comfort information, and the improved G-PCA WNN thermal comfort prediction model achieved the best prediction performance among the compared algorithms and models.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2024.113963 5072953:DBE5FQ7V openalex: W4391755697
Keywords: Enclosed cabin environment; Neural network model; Real-time prediction; Self-adaptive model; Thermal comfort; _important; _z:class:countries; _z:class:themes; _z:no_pdf; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T11109 Physiological Responses to Heat Stress in Humans; oa:topic:T11244 Impact of Climate Change on Human Health; openalex:n:1; openalex:yes; selected_for:Predictive models for classroom conditions 2024

Developing a deep neural network model for predicting ventilation rates in public housing buildings in Hong Kong - Dai, Ho Kam; Shi, Yifu; Chen, Chun (Energy and Buildings, 2024)
In Hong Kong, 45 % of the population live in public housing buildings. This study aimed to develop deep neural network (DNN) models for efficiently predicting the ventilation rates in public housing buildings in Hong Kong in the era of modular flat design. First, a database of ventilation rates in Cheung Tai House, a representative public housing building, under 23 wind conditions and 32 different ventilation settings, was obtained by means of computational fluid dynamic (CFD) and multi-zone airflow network models. On-site measurements were conducted in two residential units to validate the numerical models. The database was then used to train the DNN models for the 32 ventilation settings, respectively, for predicting the ventilation rate. The trained DNN models can accurately predict the ventilation rates in Cheung Tai House with a mean absolute percentage error (MAPE) of 4.3 %. The trained DNN models were further validated by numerical simulation results for Hung Fuk Estate and field measurement results for Chun Yeung Estate. The results show that the trained DNN models based on the Cheung Tai House database could predict the ventilation rates of other public housing buildings reasonably well, with a MAPE of 10 % regardless of the building’s structural shape.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2024.113993 5072953:N2KMIA55 openalex: W4391906572
Keywords: Computational fluid dynamics; Deep neural network model; Modular flat design; Multi-zone airflow network model; Public housing; _z:class:countries; _z:class:themes; _z:no_pdf; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10766 Urban Heat Islands and Mitigation Strategies; oa:topic:T11371 Urban Wind Environment and Air Quality Modeling; openalex:n:1; openalex:yes

Using AI to Automate Literature Reviews - Haßler, Björn; Hassan, Mustafa; Klune, Christopher (EdTech Hub, 2024)
An output of the EdTech Hub, https://edtechhub.org/
ZenodoArchiveID: 10529049 ZenodoArchiveConcept: 10529048 KerkoCite.ItemAlsoKnownAs: 10.53832/edtechhub.1003 2129771:JC66TBWQ 2405685:BVD8JX7V
Keywords: _forthcoming; _r:AddedByMyEducationEvidence; coming soon; evidence_review

Belize: Making an Impact to Improve Lives Selected Results in IDB Group-supported Projects on Climate Change and Education (2024)
Two of the development challenges that Belize has recently worked on, with support from the IDB Group, are vulnerability to climate change and educational quality. The measures implemented on both fronts have allowed relevant achievements. In terms of climate resilience, flooding has been significantly reduced, as a result of investments in infrastructure and, especially, in nature-based solutions. Regarding the quality of education, progress has been made with innovative pedagogical models and teaching in STEAM areas (science, technology, engineering, arts and mathematics).
openalex: W4391693336
Keywords: C:Belize; _z:class:countries; _z:class:themes; oa:topic:T10119 Sustainability Transitions and Resilience in Social-Ecological Systems; oa:topic:T10439 Adaptation to Climate Change in Agriculture; oa:topic:T12656 Impact of Climate Change on Human Migration; openalex:import; openalex:yes

Published research on the human health implications of climate change between 2012 and 2021: cross sectional study - Bartlett, Victoria; Doernberg, Harry; Mooghali, Maryam; Gupta, Ravi; Wallach, John R.; Nyhan, Kate; Chen, Kai; Ross, Joseph S. (BMJ Medicine, 2024)
Objective To better understand the state of research on the effects of climate change on human health, including exposures, health conditions, populations, areas of the world studied, funding sources, and publication characteristics, with a focus on topics that are relevant for populations at risk. Design Cross sectional study. Data sources The National Institute of Environmental Health Sciences climate change and human health literature portal, a curated bibliographical database of global peer reviewed research and grey literature was searched. The database combines searches of multiple search engines including PubMed, Web of Science, and Google Scholar, and includes added-value expert tagging of climate change exposures and health impacts. Eligibility criteria Inclusion criteria were peer reviewed, original research articles that investigated the health effects of climate change and were published in English from 2012 to 2021. After identification, a 10% random sample was selected to manually perform a detailed characterisation of research topics and publication information. Results 10 325 original research articles were published between 2012 and 2021, and the number of articles increased by 23% annually. In a random sample of 1014 articles, several gaps were found in research topics that are particularly relevant to populations at risk, such as those in the global south (134 countries established through the United Nations Office for South-South Cooperation) (n=444; 43.8%), adults aged 65 years or older (n=195; 19.2%), and on topics related to human conflict and migration (n=25; 2.5%) and food and water quality and security (n=148; 14.6%). Additionally, fewer first authors were from the global south (n=349; 34.4%), which may partly explain why research focusing on these countries is disproportionally less. Conclusions Although the body of research on the health effects of climate change has grown substantially over the past decade, including those with a focus on the global south, a disproportionate focus continues to be on countries in the global north and less at risk populations. Governments are the largest source of funding for such research, and governments, particularly in the global north, need to re-orient their climate and health research funding to support researchers in the global south and to be more inclusive of issues that are relevant to the global south.
openalex: W4391722099
Keywords: _z:class:countries; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Youth Response to Climate Change: Learning from Indigenous Land-Based Camp at the Northern Saskatchewan Indigenous, Canada - Datta, Prarthona; Datta, Ranjan; Lewis, Kevin; Hurlbert, Margot (EXPLORE, 2024)
openalex: W4392087410
Keywords: C:Canada; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T10348 Indigenous Health Disparities and Decolonization; oa:topic:T12614 Health and Well-being of Arctic Indigenous Peoples; oa:topic:T12656 Impact of Climate Change on Human Migration; openalex:import; openalex:yes

Integrating conceptual and machine learning models to enhance daily-Scale streamflow simulation and assessing climate change impact in the watersheds of the Godavari basin, India - Reddy, Nagireddy Masthan; Saravanan, Subbarayan; Paneerselvam, Balamurugan (Environmental Research, 2024)
This study examined and addressed climate change's effects on hydrological patterns, particularly in critical places like the Godavari River basin. This study used daily gridded rainfall and temperature datasets from the Indian Meteorological Department (IMD) for model training and testing, 70% and 30%, respectively. To anticipate future hydrological shifts, the study harnessed the EC-Earth3 data, presenting an innovative methodology tailored to the unique hydrological dynamics of the Godavari River basin. The Sacramento model provided initial streamflow estimates for Kanhargaon, Nowrangpur, and Wairagarh. This approach melded traditional hydrological modeling with advanced multi-layer perceptron (MLP) capabilities. When combined with parameters like lagged rainfall, lagged streamflow, potential evapotranspiration (PET), and temperature variations, these initial outputs were further refined using the Sac-MLP model. A comparison with Sacramento revealed the superior performance of the Sac-MLP model. For instance, during training, the Nash Sutcliffe efficiency (NSE) values for the Sac-MLP witnessed an improvement from 0.610 to 0.810 in Kanhargaon, 0.580 to 0.692 in Nowrangpur, and 0.675 to 0.849 in Wairagarh. The results of the testing further corroborated these findings, as evidenced by the increase in the NSE for Kanhargaon from 0.890 to 0.910. Additionally, Nowrangpur and Wairagarh experienced notable improvements, with their NSE values rising from 0.629 to 0.785 and 0.725 to 0.902, respectively. Projections based on EC-Earth3 data across various scenarios highlighted significant shifts in rainfall and temperature patterns, especially in the far future (2071–2100). Regarding the relative change in annual streamflow, Kanhargaon projections under SSP370 and SSP585 for the far future indicate increases of 584.38% and 662.74%. Similarly, Nowrangpur and Wairagarh are projected to see increases of 98.27% and 114.98%, and 81.68% and 108.08%, respectively. This study uses EC-Earth3 estimates to demonstrate the Sac-MLP model's accuracy and importance in climate change water resource planning. The unique method for region-specific hydrological analysis provides vital insights for sustainable water resource management. This research provides a deeper understanding of climate-induced hydrological changes and a robust modeling approach for accurate predictions in changing environmental conditions.
openalex: W4391812592
Keywords: _z:class:countries; oa:sdg:13 Climate action; oa:topic:T10330 Hydrological Modeling and Water Resource Management; oa:topic:T10930 Global Flood Risk Assessment and Management; oa:topic:T11490 Hydrological Modeling using Machine Learning Methods; openalex:import; openalex:n:1; openalex:yes

Why disability inclusion is important for climate resilience - King, Molly M. (2024)
openalex: W4391337198
Keywords: _z:class:countries; openalex:import; openalex:yes

Supervised Machine Learning Approaches for Predicting Key Pollutants and for the Sustainable Enhancement of Urban Air Quality: A Systematic Review - Essamlali, Ismail; Nhaila, Hasna; Khaïli, Mohamed El (Sustainability, 2024)
Urban air pollution is a pressing global issue driven by factors such as swift urbanization, population expansion, and heightened industrial activities. To address this challenge, the integration of Machine Learning (ML) into smart cities presents a promising avenue. Our article offers comprehensive insights into recent advancements in air quality research, employing the PRISMA method as a cornerstone for the reviewing process, while simultaneously exploring the application of frequently employed ML methodologies. Focusing on supervised learning algorithms, the study meticulously analyzes air quality data, elucidating their unique benefits and challenges. These frequently employed ML techniques, including LSTM (Long Short-Term Memory), RF (Random Forest), ANN (Artificial Neural Networks), and SVR (Support Vector Regression), are instrumental in our quest for cleaner, healthier urban environments. By accurately predicting key pollutants such as particulate matter (PM), nitrogen oxides (NOx), carbon monoxide (CO), and ozone (O3), these methods offer tangible solutions for society. They enable informed decision-making for urban planners and policymakers, leading to proactive, sustainable strategies to combat urban air pollution. As a result, the well-being and health of urban populations are significantly improved. In this revised abstract, the importance of frequently employed ML methods in the context of air quality is explicitly emphasized, underlining their role in improving urban environments and enhancing the well-being of urban populations.
openalex: W4391131339
Keywords: _z:class:countries; evidence_review; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Introducing the next iteration of our sensor box - Haßler, Björn; Bablok, Bernhard (2024)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10456801 ZenodoArchiveConcept: 10456800 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1064 2129771:FNTQ646H 4874017:G95V88FS 5072953:8SMU77AC 5072953:MMXK965C
Keywords: _publish; _r:AddedByMyEducationEvidence; _z:class:countries; _z:class:themes

Emissions of Volatile Organic Compounds from Human Occupants in a Student Office: Dependence on Ozone Concentration - Qu, Yuekun; Xie, Di; Liu, Yingjun (ACS Environmental Au, 2024)
Keywords: _z:class:countries

The effects of cool roofs on health, environmental, and economic outcomes in rural Africa: study protocol for a community-based cluster randomized controlled trial - Bunker, Aditi; Compoaré, Guillaume; Sewe, Maquins Odhiambo; Laurent, Jose Guillermo Cedeno; Zabré, Pascal; Boudo, Valentin; Ouédraogo, Windpanga Aristide; Ouermi, Lucienne; Jackson, Susan T.; Arisco, Nicholas; Vijayakumar, Govind; Yildirim, Ferhat Baran; et al. (Trials, 2024)
High ambient air temperatures in Africa pose significant health and behavioral challenges in populations with limited access to cooling adaptations. The built environment can exacerbate heat exposure, making passive home cooling adaptations a potential method for protecting occupants against indoor heat exposure.
openalex: W4390908494 KerkoCite.ItemAlsoKnownAs: 5072953:FKAKUTLN 5072953:JEITJCWJ 5072953:QFAE9T62
Keywords: C:Burkina Faso; Climate change adaptation; Cool roofs; Heat exposure; Passive home cooling; Randomized controlled trial; Sub-Saharan Africa; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10766 Urban Heat Islands and Mitigation Strategies; oa:topic:T11244 Impact of Climate Change on Human Health; openalex:n:1; openalex:yes

Decolonizing Climate Change Adaptations from Indigenous Perspectives: Learning Reflections from Munda Indigenous Communities, Coastal Areas in Bangladesh - Datta, Ranjan; Kairy, Barsha (Sustainability, 2024)
This study explores the imperative need for decolonizing climate change adaptation strategies by focusing on Indigenous knowledge and perspectives. Focusing on the Munda Indigenous communities residing in the coastal areas of Bangladesh, the research offers critical insights into the intricate relationship between Indigenous wisdom and sustainable climate adaptation. By engaging with the Munda Indigenous people and their traditions, this study explores how traditional ecological knowledge and practices can inform and enhance contemporary climate adaptation efforts. Following the decolonial theoretical research framework, this research used participatory research methods and collaboration with the Munda Indigenous community. In this study, we shared our learning reflections to uncover unique approaches to climate resilience, including traditional community-based disaster risk reduction and cultural practices that foster social cohesion. These insights challenge the prevailing Western-centric climate adaptation paradigms, emphasizing recognizing and valuing Indigenous voices in climate discourse. The research underscores the significance of empowering Indigenous communities as key stakeholders in climate adaptation policy and decision-making. It calls for shifting from top-down, colonial approaches towards more inclusive, culturally sensitive strategies. The Munda Indigenous communities’ experiences offer valuable lessons that can inform broader efforts to address climate change, fostering resilience and harmonious coexistence between people and their environment. This study advocates for integrating Indigenous knowledge, practices, and worldviews into climate adaptation frameworks to create more effective, equitable, and sustainable solutions for the challenges posed by climate change.
openalex: W4390913855
Keywords: C:Bangladesh; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T10439 Adaptation to Climate Change in Agriculture; oa:topic:T10747 Community Resilience to Natural Disasters; oa:topic:T12656 Impact of Climate Change on Human Migration; openalex:import; openalex:yes

Thermal modeling for control applications of 60,000 homes in North America using smart thermostat data - Vallianos, Charalampos; Candanedo, José; Athienitis, Andreas (Energy and Buildings, 2024)
As smart thermostats become increasingly available in residential buildings, there is an opportunity to use measured building data to calibrate models for community and district applications, instead of relying on high-fidelity simulations. This study used smart thermostat data from 60,000 houses in North America to create single-zone models. The model structure was defined with an automated forward selection procedure. 61% of the final models were classified as good fits and the structure of 80% of them was of 5th-order (5 thermal capacitances). An investigation of the 24-hour prediction error of the models showed that the ones classified as good fits are accurate enough for day-ahead predictions and Model Predictive Control (MPC) applications. An analysis of the model parameters suggested no strong correlation between them and the available metadata. The time constants of the houses were estimated, providing valuable information about the houses thermal inertia. Building models that can accurately capture and leverage building thermal inertia are ideal candidates for MPC and energy flexibility applications.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2023.113811 5072953:BDEU3AD2 openalex: W4389265746
Keywords: Building simulation; Building thermal dynamics; Grey-box models; Model Predictive Control (MPC); _z:class:countries; _z:class:themes; _z:no_pdf; oa:sdg:11 Sustainable cities and communities; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10603 Demand Response in Smart Grids; oa:topic:T11371 Urban Wind Environment and Air Quality Modeling; openalex:n:1; openalex:yes

Predicting indoor 3D airflow distribution using artificial neural networks with two different architectures - Zheng, Yulin; Xu, Xiangguo (Energy and Buildings, 2024)
To meet the thermal comfort requirements of room occupants, a fast and accurate method for predicting indoor high-resolution 3D airflow distribution is necessary, which can be combined with heating, ventilation, and air conditioning (HVAC) systems to adjust the indoor environment. Artificial neural networks (ANN) can establish complex mappings between variables with nonlinear relationships. The aim of this study was to verify the feasibility of an ANN for the fast and accurate prediction of indoor 3D airflow distribution. Considering two prediction strategies, ANN A and B were constructed. The inputs of both ANNs were the air supply velocity, air supply direction, and section location. ANN A output the airflow distribution of the entire room directly, whereas ANN B output the airflow distribution of the characteristic sections first and then the airflow distribution of other sections according to the contribution of the characteristic sections. The two ANNs’ performances on training and testing datasets were compared. Both ANNs performed well in the training and interpolation cases. However, their performances decreased rapidly in the extrapolation cases. In the case of a large gap between the input and output dimensions of the ANNs, the two-step prediction strategy improved the prediction accuracy, accelerated convergence, and alleviated data imbalance problems. The prediction time of ANN A and B was 0.89 s and 12.38 s, respectively. The ANN can predict indoor high-resolution 3D airflow distribution quickly and accurately, and can add functions that include identifying internal heat sources and air supply inlet position changes. ANN combined with HVAC could allow real-time control to regulate indoor airflow.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2023.113841 5072953:GBH3ABMT openalex: W4389956152
Keywords: Artificial neural network (ANN); Computational fluid dynamics (CFD); Indoor high-resolution 3D airflow distribution; Two-step prediction; _z:class:countries; _z:class:themes; _z:no_pdf; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10990 Airborne Transmission of Respiratory Viruses; oa:topic:T11371 Urban Wind Environment and Air Quality Modeling; openalex:n:1; openalex:yes

Re-storying schools as “research sites” of climate change in the Chthulucene : diffractively reading through the land of a primary school in South Africa - Reynolds, Rose-Anne; Murris, Karin (The Journal of Environmental Education, 2024)
Inspired by Karen Barad’s agential realism and Donna Haraway’s use of the Chthulucene, our paper profoundly troubles and unsettles the humanist subject that has been the cause of so much trouble. Re-turning to a government primary school in Cape Town as the “research site,” we adopt temporal and spatial diffraction as a postqualitative research methodology. The colonial practices related to land ownership, are not in the past, but remain in its be(com)ing. Land “use” in South Africa during Apartheid, was, and still is, a form of violence. Thinking-with Neimanis and McLauchlan, we understand a school as not separate from the phenomenon of climate change, but as one of its sites and as a feminist project. A diffractive image articulates aesthetically and politically how the land as the more-than-human is a significant part of the phenomenon and queers school as a concept and “research site.”
openalex:W4390807577 mag: KerkoCite.ItemAlsoKnownAs: 10.1080/00958964.2023.2259831 5072953:VCGJCITM
Keywords: C:South Africa; _z:class:countries; _z:class:themes; _z:no_pdf; oa:topic:T10738 Exploration of Posthumanist Performativity in Social Sciences; oa:topic:T11506 Participation of Children in Research and Policy; oa:topic:T12295 Foucauldian Governmentality and Neoliberalism Studies; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

University Students’ Perception of Community Information Centres as a Vehicle for Climate Change Awareness Creation in Ghana. - Abednego, Adjei Baffour; Adu-Agyei, Nana Obeng; Pawar, V P; Nkrumah, Collins (International Journal of Research and Scientific Innovation, 2024)
Information has a significant role in the growth of people and societies. Yet access to information is unequal across communities, particularly in rural areas in developing countries. Given this, people’s consciousness of climatic change differs by several factors including location and the type of medium employed. This paper examines community information centres as a vehicle for climate change awareness creation in Ghana. The paper adopted a quantitative approach with 205 participants randomly chosen from six public universities. The finding shows that selling of traditional medicines dominates information centres’ activities. Environmental health and climate change education occupy infinitesimal place in these centres’ activities with climate change occupying the very bottom. The study also shows that using local language, providing a platform for grassroot education, integrating scientific and indigenous knowledge, etc. are some of the ways these centres can be used to promote climate change consciousness. The results also disclose that community information centres face the problems of limited resources, lack of interest, unreliable power source etc. Regarding how to manage these challenges, the majority of the participants proposed the role of government in providing resources, community sensitisation, an alternative power source, among others. The paper concludes that although proper attention has not been given to climate change awareness creation in information centres’ activities in Ghana, these informational hubs can be a medium to raise climate change awareness in the disadvantaged and marginalised rural communities in which they are situated to facilitate local adaptation.
openalex:W4390951275 mag: KerkoCite.ItemAlsoKnownAs: 10.51244/ijrsi.2023.1012058 5072953:DDXDDKQJ
Keywords: C:Ghana; _z:class:countries; _z:class:themes; _z:no_pdf; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Psychological Ill-Being Caused By Climate Change Among Persons With Disabilities "PWD" In The Kingdom Of Saudi Arabia - القديمي, فاطمة بنت يحيى حسن (مجلة الجامعة الإسلامية للعلوم التربوية والاجتماعية, 2024)
openalex: W4392249639
Keywords: _z:class:countries; openalex:import; openalex:yes

Climate, Environment and Education (as child’s play) What? Why? How? - Bangay, Colin (2024)
KerkoCite.ItemAlsoKnownAs: 5072953:U9FP27JD

Ways to Think About Education Systems Risk Analysis at a Country Level - Bangay, Colin (Foreign, Commonwealth & Development Office, UK, 2024)
KerkoCite.ItemAlsoKnownAs: 5072953:HKXACYAG

Mapping climate mitigation policy literature using machine learning: disparities between scientific attention, policy density, and emissions - Callaghan, Max; Banisch, Lucy; Doebbeling-Hildebrandt, Niklas; Edmondson, Duncan; Flachsland, Christian; Lamb, William; Levi, Sebastian; Müller-Hansen, Finn; Posada, Eduardo; Vasudevan, Shraddha (2024)
KerkoCite.ItemAlsoKnownAs: 5072953:7XN7EAGW 5072953:FD2VCUFD
Keywords: _z:class:countries

Unintended consequences of English school stock energy-efficient retrofit on cognitive performance of children under climate change - Dong, J.; Schwartz, Y.; Korolija, I.; Mumovic, D. (Building and Environment, 2024)
School building stock retrofit forms a key part of UK’s commitment to net-zero carbon target by 2050. However, with a changing climate, the retrofit of school buildings may have unintended consequences on classroom thermal environments and cognitive performance of children in non-heating seasons. This paper aims to quantify the impact of school stock retrofit in accordance with increasingly tightening energy efficiency regulatory requirements on cognitive performance of English children, while also exploring the potential adaptation measures under climate change. The results indicate that English schools that undergo envelope insulation exhibit higher Cognitive Performance Loss (CPL) of children compared to their original conditions. Passive climate adaptation measures, especially increased daytime ventilation rate was found to be an effective strategy for mitigating the impact of climate change on cognitive performance. However, the benefits of passive measures will diminish as the climate warms, while air conditioning will be required to maintain cognitive performance loss at relatively low levels. In addition to the reduction of heating load, envelope insulation can provide benefits for English schools in cooler climatic regions from both cognitive performance and energy point of view. The study calls for the CPL to be added as one of the key performance indicators when considering the long-term impact of climate change on schools. This would enable policy makers and relevant stakeholders to make more holistic decisions regarding school stock retrofit while ensuring that classrooms are conducive to learning.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.buildenv.2023.111107 5072953:RXETR3RL
Keywords: _z:class:countries

The orchestration of a sustainable development agenda in the European Higher Education Area - Kushnir, Iryna; Eta, Elizabeth Agbor; Mbah, Marcellus Forh; Kennedy, Charlotte-Rose (International Journal of Sustainability in Higher Education, 2024)
Publisher: Emerald Publishing Limited KerkoCite.ItemAlsoKnownAs: 10.1108/IJSHE-12-2022-0394 5072953:887LZGTD openalex: W4384305696
Keywords: _z:class:countries; _z:class:themes; oa:keyword:european higher education area; oa:keyword:sustainable development; oa:keyword:sustainable development agenda; oa:topic:T11300 Global Governance in Education Policy Research; oa:topic:T11835 Sustainability Education in Higher Education Institutions; oa:topic:T12545 Education for Global Citizenship in a Globalized World; openalex:n:1; openalex:yes

The orchestration of a sustainable development agenda in the European Higher Education Area - Kushnir, Iryna; Eta, Elizabeth Agbor; Mbah, Marcellus Forh; Kennedy, Charlotte-Rose (International Journal of Sustainability in Higher Education, 2024)
KerkoCite.ItemAlsoKnownAs: 10.1108/IJSHE-12-2022-0394 5072953:887LZGTD openalex: W4384305696
Keywords: _z:class:countries; _z:class:themes; oa:keyword:european higher education area; oa:keyword:sustainable development; oa:keyword:sustainable development agenda; oa:topic:T11300 Global Governance in Education Policy Research; oa:topic:T11835 Sustainability Education in Higher Education Institutions; oa:topic:T12545 Education for Global Citizenship in a Globalized World; openalex:n:1; openalex:yes

The added value of partnerships in implementing the UN sustainable development goals - Leal Filho, Walter; Dibbern, Thais; Dinis, Maria Alzira Pimenta; Cristofoletti, Evandro Coggo; Mbah, Marcellus; Mishra, Ashish; Clarke, Amelia; Samuel, Naima; Apraiz, Julen Castillo; Abubakar, Ismaila Rimi (Journal of Cleaner Production, 2024)
Publisher: Elsevier KerkoCite.ItemAlsoKnownAs: 10.1016/j.jclepro.2024.140794 5072953:FTYPRUUB openalex: W4390972518
Keywords: _z:class:countries; _z:class:themes; oa:sdg:17 Partnerships for the goals; oa:topic:T11168 Foreign Aid and Development Policies; oa:topic:T12013 Measurement and Evaluation of Sustainable Development; oa:topic:T12786 Frugal Innovation in Emerging Markets; openalex:n:1; openalex:yes

The added value of partnerships in implementing the UN sustainable development goals - Leal Filho, Walter; Dibbern, Thais; Dinis, Maria Alzira Pimenta; Cristofoletti, Evandro Coggo; Mbah, Marcellus; Mishra, Ashish; Clarke, Amelia; Samuel, Naima; Apraiz, Julen Castillo; Abubakar, Ismaila Rimi (Journal of Cleaner Production, 2024)
KerkoCite.ItemAlsoKnownAs: 10.1016/j.jclepro.2024.140794 5072953:FTYPRUUB openalex: W4390972518
Keywords: _z:class:countries; _z:class:themes; oa:sdg:17 Partnerships for the goals; oa:topic:T11168 Foreign Aid and Development Policies; oa:topic:T12013 Measurement and Evaluation of Sustainable Development; oa:topic:T12786 Frugal Innovation in Emerging Markets; openalex:n:1; openalex:yes

Examining thermal comfort levels and ASHRAE Standard-55 applicability: A case study of free-running classrooms in Abuja, Nigeria - Mustapha, T.D.; Hassan, A.S.; Khozaei, F.; Onubi, H.O. (Indoor and Built Environment, 2024)
Keywords: _z:class:countries

School Buildings Infrastructure in East Africa - Nambatya, Mauricia (Google Docs, 2024)
School Buildings Infrastructure in East Africa Author: Mauricia Nambatya https://doi.org/10.53832/opendeved.1136 Within East Africa, school buildings are similar in design and materials used in construction. The most commonly used walling materials are fired or burnt bricks because they are loca...
KerkoCite.ItemAlsoKnownAs: 2129771:55SZ56YG 4874017:2NX3AJB9
Keywords: evidence_review

Climate change risk assessment of rainfall and temperature in the West Bank, Palestine - Shadeed, Sameer; Alawna, Sandy (International Journal of Global Warming, 2024)

Machine learning evidence map reveals global differences in adaptation action - Sietsma, Anne J.; Theokritoff, Emily; Biesbroek, Robbert; Canosa, Iván Villaverde; Thomas, Adelle; Callaghan, Max; Minx, Jan C.; Ford, James D. (One Earth, 2024)
Keywords: _z:class:countries

Dataset of indoor air parameter measurements relating to indoor air quality and thermal comfort in South African primary school classrooms of various building infrastructure types - Van Der Walt, Rita Elise; Grobbelaar, Sara Susanna; Booysen, Marthinus Johannes (Data in Brief, 2024)
In the resource-constrained South African education sector, infrastructure considered temporary or a backup in other countries is used as permanent classrooms, primarily but not exclusively in lower-income areas. Children's cognitive performance and comfort are directly impacted by indoor air quality. Temperature, relative humidity, particulate matter and CO2 levels, substantial determinants of air quality and thermal comfort, have not been investigated across different classroom building and infrastructure types. We measure these parameters with 11-min intervals in 24 classrooms at schools in Stellenbosch, South Africa. These classrooms consist of a range of different infrastructure types. Container classrooms with and without insulation, mobile (prefabricated) classrooms, and brick classrooms of different configurations are included. Measurements are concurrently sampled over ten months (249 days, still ongoing) across multiple seasons with relevant metadata, including ambient weather conditions, school days and times, and electricity availability in the (South) African context, which impacts air conditioning usage. This dataset provides valuable insights into true learning conditions in South African classrooms.
openalex: W4390938962 KerkoCite.ItemAlsoKnownAs: 2129771:YNAE9CTV 2129771:YNAE9CTV 2129771:YNAE9CTV 2129771:YNAE9CTV 2129771:YNAE9CTV 10.1016/j.dib.2024.110045 5072953:3W35N8CY 5072953:FZJPX8JY 5072953:J25A6NN2
Keywords: Brick classrooms; C:South Africa; Carbon dioxide; Developing country; Indoor air quality; Learning environment; Particulate matter; Portable classrooms; Thermal environment; _z:class:countries; _z:class:themes; evidence_review; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T11692 Effects of Noise Pollution on Health and Well-being; oa:topic:T11988 Sustainable Construction and Green Building; openalex:n:1; openalex:yes

Literature review: Indoor climate versus building characteristics in tropical climates - Vito (2024)
KerkoCite.ItemAlsoKnownAs: 4874017:Z2LYEL2L 5072953:UDSI84N2
Keywords: _z:class:countries; _z:class:themes

Causal loop diagram (Wikipedia, 2023)
A causal loop diagram (CLD) is a causal diagram that aids in visualizing how different variables in a system are causally interrelated. The diagram consists of a set of words and arrows. Causal loop diagrams are accompanied by a narrative which describes the causally closed situation the CLD describes. Closed loops, or causal feedback loops, in the diagram are very important features of CLDs. The words with arrows coming in and out represent variables, or quantities whose value changes over time and the links represent a causal relationship between the two variables (i.e., they do not represent a material flow). A link marked + indicates a positive relation where an increase in the causal variable leads, all else equal, to an increase in the effect variable, or a decrease in the causal variable leads, all else equal, to a decrease in the effect variable. A link marked - indicates a negative relation where an increase in the causal variable leads, all else equal, to a decrease in the effect variable, or a decrease in the causal variable leads, all else equal, to an increase in the effect variable. A positive causal link can be said to lead to a change in the same direction, and an opposite link can be said to lead to change in the opposite direction, i.e. if the variable in which the link starts increases, the other variable decreases and vice versa. The words without arrows are loop labels. As with the links, feedback loops have either positive (i.e., reinforcing) or negative (i.e., balancing) polarity. CLDs contain labels for these processes, often using numbering (e.g., B1 for the first balancing loop being described in a narrative, B2 for the second one, etc.), and phrases that describe the function of the loop (i.e., "haste makes waste"). A reinforcing loop is a cycle in which the effect of a variation in any variable propagates through the loop and returns to reinforce the initial deviation (i.e. if a variable increases in a reinforcing loop the effect through the cycle will return an increase to the same variable and vice versa). A balancing loop is the cycle in which the effect of a variation in any variable propagates through the loop and returns to the variable a deviation opposite to the initial one (i.e. if a variable increases in a balancing loop the effect through the cycle will return a decrease to the same variable and vice versa). Balancing loops are typically goal-seeking, or error-sensitive, processes and are presented with the variable indicating the goal of the loop. Reinforcing loops are typically vicious or virtuous cycles. Example of positive reinforcing loop: The amount of the Bank Balance will affect the amount of the Earned Interest, as represented by the top blue arrow, pointing from Bank Balance to Earned Interest. Since an increase in Bank balance results in an increase in Earned Interest, this link is positive, which is denoted with a "+". The Earned interest gets added to the Bank balance, also a positive link, represented by the bottom blue arrow. The causal effect between these variables forms a positive reinforcing loop, represented by the green arrow, which is denoted with an "R".
Page Version ID: 1192291490 KerkoCite.ItemAlsoKnownAs: 2129771:6DPJ2Y3W
Keywords: evidence_review

The next generation of machine learning for tracking adaptation texts - Sietsma, Anne J.; Ford, James D.; Minx, Jan C. (Nature Climate Change, 2023)
Machine learning presents opportunities for tracking evidence on climate change adaptation, including text-based methods from natural language processing. In theory, such tools can analyse more data in less time, using fewer resources and with less risk of bias. However, the first generation of adaptation studies have delivered only proof of concepts. Reviewing these first studies, we argue that future efforts should focus on creating more diverse datasets, investigating concrete hypotheses, fostering collaboration and promoting ‘machine learning literacy’, including understanding bias. More fundamentally, machine learning enables a paradigmatic shift towards automating repetitive tasks and makes interactive ‘living evidence’ platforms possible. Broadly, the adaptation community is failing to prepare for this shift. Flagship projects of organizations such as the IPCC could help to lead the way.
openalex: W4390273618 KerkoCite.ItemAlsoKnownAs: 5072953:3P98PU49 5072953:5CC2RIQH 5072953:9N8TXRGU 5440726:VR85NTPZ
Keywords: Climate-change impacts; Interdisciplinary studies; Research data; _z:class:countries; _z:no_pdf; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Cultivating Adaptation: A Study of FPO Farmer Preferences for Climate-Smart Training in the Western Zone of Tamil Nadu, India - Malarkodi, M.; Kanaka, S.; Premavathi, P.; Tamilselvi, C.; Agila, Rosana de Jesús Eras; Sridhar, Praveen (Asian Journal of Agricultural Extension, Economics and Sociology, 2023)
The Tamil Nadu government actively supports farmer development through frequent training programs. These programs, incorporating both classroom sessions and field visits, are targeted towards farmer members of Farmer Producer Organizations (FPOs) and conducted at regular intervals. Recognizing the importance of understanding farmers' motivations and preferences, the training centers conducted a study involving 80 FPO farmer respondents from Coimbatore and Nilgiris districts. Using rank-based quotient (RBQ) analysis, the researchers explored the reasons behind farmers' participation in the training programs. Additionally, conjoint analysis revealed their preferred training mode. The study identified a two-day program, held once a year from 10 am to 5 pm and combining classroom training with field visits, as the most popular option. Interestingly, the number of days was the key deciding factor for program attendance, while having experienced farmers as trainers or guest speakers emerged as the primary reason for participating. This research offers valuable insights for optimizing future training programs to better cater to the needs and preferences of farmers, ultimately maximizing their benefits and fostering their development.
openalex: W4390504911
Keywords: C:India; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T10367 Agricultural Innovation and Livelihood Diversification; oa:topic:T13358 Livestock Farming and Rural Development Practices; oa:topic:T13508 Agricultural Development and Policy in South Asia; openalex:import; openalex:yes

Knowledge and (un)certainty in climate change education in India - Puttick, Steven; Chandrachud, Paloma; Chopra, R. N.; Khosla, Radhika; Robson, James; Singh, Sandeep; Talks, Isobel (British Educational Research Journal, 2023)
Abstract This paper explores teachers' conceptions of climate change knowledge, contributing to the growing body of work on the geographies of climate change. The paper focuses on the data generated through in‐depth semi‐structured interviews with a sample of 48 teachers in India to address the research question: What discourses about climate change knowledge are being constructed by teachers in India? We argue that teachers' lesson planning and searches for information are at the forefront of the changing ways in which individuals engage with, find out and construct meaning about climate change. These teachers' beliefs about climate change are very strongly held, even in the face of a perceived lack of expertise or understanding: climate change is described as the ‘need of the hour’, which this work understands as not only involving material impacts and processes but also important epistemological, collaborative needs through which education might contribute to public reasoning about climate change. Through this analysis we present a ‘certainty problematic’ as a heuristic device that foregrounds tensions between the inherent uncertainty of knowledge and (against climate denialism) certainty about anthropogenic climate change.
openalex: W4390111446
Keywords: C:India; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T11488 Perceptions and Communication of Climate Change; oa:topic:T12343 Geography Education and Spatial Thinking; openalex:import; openalex:yes

Mental health and wellbeing outcomes of climate change mitigation and adaptation strategies: A systematic review - Flores, Elaine C.; Brown, Laura J.; Kakuma, Ritsuko; Eaton, Julian; Dangour, Alan D. (Environmental Research Letters, 2023)
Abstract Climate change has already impacted the health and wellbeing of ∼5 billion people globally. However, the potential influence of climate change mitigation and adaptation strategies on mental health and wellbeing outcomes in low-and-middle-income countries (LMICs) remains insufficiently understood. We aimed to determine the effect of these strategies on mental health and wellbeing outcomes among LMIC beneficiaries. We carried out a systematic review to identify intervention and case studies published from 2013 to 2022, searching OVID Medline, Embase, PsycINFO, Global Health, Cochrane Library, GreenFile, Web of Science, and a subset of studies from the ‘Global Adaptation Mapping Initiative’ database. We included controlled, quasi-experimental, pilot, and focussed case studies reporting mental health or wellbeing outcomes assessments of climate change mitigation and adaptation strategies. We categorised studies by design, geographic region, target population, setting, environmental hazard, strategy type and primary outcomes. PROSPERO registry: CRD42021262711. A total of 9532 studies were initially retrieved, and 15 studies involving 12 255 participants met the inclusion criteria. Among these, twelve studies described evidence from single-adaptation strategies in nine LMICs, while three reported mitigation programmes. Only two randomised evaluations assessed common mental disorders such as depression, trauma or anxiety using validated scales. Most studies evaluated broader wellbeing at the community and individual levels. Nine studies (53.3%) reported significant beneficial changes in mental health or wellbeing outcomes among beneficiaries, while six (46.7%) obtained mixed results linked to local and sociocultural factors. The interventions ‘practical significance and overall impact remained unclear due to the heterogeneous reporting in program effectiveness, gaps in effect size assessments or qualitative insights. Our review highlights the scarcity and limited nature of the current evidence, underscoring the need for further equitable research. The ongoing global climate and mental health crises press us to fully understand and address these strategies’ psychosocial impacts and translate these findings into effective policy and transdisciplinary action as an opportunity to prevent and ameliorate significant, long-term problems in the population’s mental health and wellbeing.
openalex: W4389660070
Keywords: _z:class:countries; evidence_review; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

A Rapid Review of Impact Assessment of Climate Change on Health and Mental Well-Being in Africa - Oladimeji, Kelechi Elizabeth; Zungu, Lindiwe; Chocko, Ronnie; Hyera, Francis Leonard Mpotte; Nyatela, Athini; Gumede, Siphamandla; Dwarka, Depika; Lalla-Edward, Samanta Tresha (New Voices in Psychology, 2023)
Despite widespread global attention, the potential threats to human health posed by climate change in Africa still need to be further understood. Although there is mounting concern that climate change is a serious risk to human health, less evidence shows a direct causal relationship between climate change and health risks in Africa. In this rapid review, we discuss our synthesis of available evidence on the health implications of climate change with a focus on Africa. PubMed was systematically searched for relevant articles from 2020 to 2023 using a search strategy. Only eligible articles published in the English language with full article access were included for review using the population concept context (PCC) criteria by Joanna Briggs Institute (JBI). After removing duplicates, the selection process began with title and abstract screening, followed by screening full-text articles. Of the 3272 articles retrieved, only 10 were eligible for synthesis. We found mainly reported climate exposures to range from drought, concerning rainfall patterns, and increasing temperatures reported to cause morbidity and mortality through health risks: respiratory diseases, vector-borne diseases, cardiovascular diseases and mental health concerns. Africa still has a huge shortage of available evidence, particularly research focusing on the health implications, including mental health of climate change and interventions to prevent climate change-related health consequences. While the limited global evidence indicates that climate change results in an increased risk to public health, there are gaps in demonstrating the causal links between climate change and societal mental health impacts in Africa. There is also an urgent need for more research on effectively addressing climate hazards that threaten the African continent's public health and well-being.
openalex: W4391697555
Keywords: _z:class:countries; evidence_review; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Knowledge and Perceptions of Climate Change among the Science Students at the University of South Africa - Chelule, Paul Kiprono; Dhlamini, Thembekile Smangele; Munganga, Justin Wazute (2023)
Background:. Knowledge and positive perception of climate change are crucial for public participation in activities that contain climate change. Limited studies, particularly in South Africa have reported on the knowledge and perceptions of climate change by university students.
Study Aim: This study aimed to assess the level of knowledge and perceptions of climate change by the science students at the University of South Africa (UNISA).
Methods: This was a quantitative cross sectional survey, undertaken among science students using questionnaire emailed to 500 students in the School of Science through Unisa email system. Bivariate logistic regression was used to test the association between socio-demographics, level of knowledge and perceptions of climate change.
Results: A total of 420 students participated in the study. They were predominantly male (70.3%), mostly younger than 35 years of age. Most of the respondents were in the 2nd (34.7%) and 3rd (33.8%) year of study. Majority of respondents (97.9%) knew and perceived (93.6%) that climate change was happening. Overall, 93.8% of respondents had an excellent knowledge and basic concepts of climate change.
Conclusion: The majority of students were knowledgeable and had positive perceptions about the basic concepts of climate change. However, the year of study was not significantly associated with positive perceptions of climate change. There is need to include climate change modules in South African university curriculum.
openalex:W4389902586 mag: KerkoCite.ItemAlsoKnownAs: 10.20944/preprints202312.1341.v1 5072953:H666SU9D
Keywords: C:South Africa; _z:class:countries; _z:class:themes; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T11488 Perceptions and Communication of Climate Change; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Lots of snakes but where are the ladders? Building environment-smart learning friendly schools responsive to extreme weather - Bangay, Colin (2023)
KerkoCite.ItemAlsoKnownAs: 2129771:TD64LG7P 2129771:TD64LG7P 2129771:TD64LG7P 2129771:TD64LG7P 5072953:WIAFW4QF
Keywords: _z:class:countries; _z:class:themes; evidence_review_2

Building the evidence base for climate-smart education systems: Introducing a new interest group - Tammi, Anna-Maria; Bangay, Colin (2023)
KerkoCite.ItemAlsoKnownAs: 5072953:JN2GW52U
Keywords: _z:class:countries; _z:class:themes

Assessment of Climate Change Anxiety in High School Youths of Kwale County, Kenya - Mutua, Patrick M.; Kauti, Matheaus K.; Mwangangi, Leonard; Nzilani, Musyoka Sonnia (African Journal of Climate Change and Resource Sustainability, 2023)
Climate change anxiety refers to negative cognitive, emotional, behavioural, and functional responses to experiences of climate change and has implications on mental health. The current study sought to determine how climate change anxiety relates to cognitive-emotional and functional impairments as well as with experience of climate change and behavioural engagement in youths. The study surveyed 388 youths (aged 13-24 years) in high schools in Kwale County, Kenya. Data were analysed in XLSTAT software using Pearson's correlation and considered significant for values of p ≤ 0.05. Over 60 % of the youths had more than "Sometimes" suffered cognitive-emotional impairment, while 63 % were more than "Sometimes" inflicted with functional impairment. Additionally, 61 % of the respondents more than "Sometimes" reported having had a climate change experience. However, 71 % of the youths were more than "Sometimes" engaged in climate change behavioural activities. There were no significant gender differences in the scores. Cognitive-emotional impairment (M = 2.507, SD = 1.267) was significantly (P = 0.0048) associated with behavioural engagement in climate change (M = 3.019, SD = 1.403). Youths attending day schools scored significantly (P = 0.022) higher in functional impairment (M = 2.897, SD = 1.182) than students in boarding schools (M = 2.535, SD = 1.395). Youths aged 13-17 years were substantially more affected by climate change anxiety than those aged 18-24 years. This study identifies a population at risk with high exposure and vulnerability to the health impacts of climate change. The study suggests the need for policies to address climate change anxiety in youths in schools and the use of the youths' pro-environmental behavioural engagements in climate change to improve their adaptive capacity
openalex:W4389390039 mag: KerkoCite.ItemAlsoKnownAs: 10.37284/ajccrs.2.1.1610 5072953:B9Z58EQ3
Keywords: C:Kenya; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T11488 Perceptions and Communication of Climate Change; oa:topic:T13536 Conceptualization and Measurement of Time Perspective; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Climate change and mental health: impact on people with disabilities - Vig, Shinu; Dwivedi, Sunita (Mental Health and Social Inclusion, 2023)
Purpose This paper aims to examine why people with disabilities (PWDs) are at risk due to climate change. It also discusses the linkage between climate change events and the mental health of the disabled population. Design/methodology/approach This paper follows a qualitative approach. Findings Climate change can affect the mental well-being of PWDs in several ways such as increased vulnerability, displacement-related trauma, social isolation, loss of independence, climate anxiety and eco-grief. Practical implications The paper has practical implications for policymakers. Because climate change has a disproportionate impact on PWDs, there is an urgent need to include them in climate action, both as beneficiaries and decision-makers. Originality/value The paper attempts to explore the measures that can be taken for prevention and mitigation of impacts on the mental health of PWDs.
openalex: W4389326575
Keywords: _z:class:countries; openalex:import; openalex:yes

Hearing Loss and Disorders: The Repercussions of Climate Change - Sherratt, Sue (American Journal of Audiology, 2023)
Climate change is considered to be the greatest threat to human health in the 21st century, and its effects are accelerating. Extensive research has clearly demonstrated its increasing impact across the continuum of health conditions. Despite this, there has been limited attention to the ramifications of climate change on hearing loss and hearing disorders. This lack of consideration is somewhat surprising as the environment itself and its changing nature have a substantial effect on hearing.Tackling climate change could be the greatest global health opportunity of the 21st century. To address this issue, this tutorial provides a general introduction to climate change and its three major elements (pollution, infectious diseases, and extreme weather events) and their effects on health. The substantial consequences of climate change for the incidence, development, and exacerbation of hearing loss and disorders are clearly described and detailed.The challenge of responding to this very real and escalating threat to hearing requires a combination of prevention, advocacy, and education. These three roles place audiologists in the perfect position to take action on the far-reaching effects of climate change on hearing loss and disorders. To respond to this challenge and to fulfill these roles, several strategies, ranging from the individual level to the global level, are delineated for audiologists to incorporate into their practice.
openalex: W4387446041
Keywords: _z:class:countries; openalex:import; openalex:yes

Climate-resilient school buildings - Hassler, Bjoern (2023)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10203951 ZenodoArchiveConcept: 10203950 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1031 2129771:FVMXNR7R 5072953:L6TCKG52
Keywords: _r:AddedByMyEducationEvidence; _z:class:countries; _z:class:themes

Project updates for Climate, Environment and Education Adaptation Research (CLEEAR) Tanzania Steering Committee - Villavicencio, Xuzel; Hassler, Bjoern (2023)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10203975 ZenodoArchiveConcept: 10203974 openalex:W4388970860 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1032 2129771:6V9PMAJB 5072953:87V9QL4T 5072953:VASXMNQS
Keywords: C:Tanzania; _r:AddedByMyEducationEvidence; _z:class:countries; _z:class:themes; openalex:import; openalex:n:1; openalex:yes

Managing School Plant Planning for Climate Change in Public Secondary Schools in Rivers State, Nigeria: A Prerequisite for the Attainment of Sustainable Educational Development - Sunday, Osaat Dinah; Chinenye, Akani Gift (Journal of Advances in Education and Philosophy, 2023)
This study examined managing school plant planning for climate change in the attainment of sustainable educational development for public secondary schools in Rivers State. Two research questions and two hypotheses guided the study. The descriptive design was adopted. The population of the study comprised all the 542 public junior and senior secondary schools in Rivers State. A sample of 304 principals representing 56% of the population served as the study respondents. This sample was selected using the stratified random sampling technique. A validated Likert-modified 4-scale 16 item instrument titled: ‘Managing School Plant Planning for Climate Change in Public Secondary Schools Questionnaire (MSPPCCPSSQ)’ was used for data collection and its reliability coefficient was established at 0.82 using the Cronbach Alpha Correlation coefficient. Mean and standard deviation were used to analyze the research questions while the z-test statistics was used to test the hypotheses at 0.05 level of significance. The findings of this study revealed that discouraging deforestation while encouraging afforestation where trees acting as wind breakers are planted; communicating effectively with students by promoting students’ engagements by means of enlightening students on the importance of respecting green spaces such as school gardens, parks are some of the ways of managing school plant planning for climate change in the attainment of sustainable educational development in public secondary schools in Rivers State, Nigeria. Based on these findings, the researcher recommended that Rivers State government should endeavor to champion the course of initiating proactive ways and policies in managing school plant planning for public secondary schools aimed at curbing the negative effects of climate change in Rivers State.
openalex:W4388767437 mag: KerkoCite.ItemAlsoKnownAs: 10.36348/jaep.2023.v07i11.004 5072953:ARI9AEB7
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Global Research on Natural Disasters and Human Health: a Mapping Study Using Natural Language Processing Techniques - Ye, Xin; Lin, Hugo You‐Hsien (Current Environmental Health Reports, 2023)
openalex: W4388646885
Keywords: _z:class:countries; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Improving Australian climate change adaption strategies: learning from international experience - Perugia, Francesca; Rowley, Steven; Swapan, Mohammad Shahidul Hasan (2023)
This research explores climate change adaptation practices, strategies and policies implemented internationally that could be adopted to support the sustainable development of cities and towns across Australia. Adaptation strategies focus on reducing the impact of climate change effects while promoting sustainable development.Adaptation is framed as a shared responsibility between governments at all levels, businesses, communities and individuals. Within this overarching framework, each level of government has a specific role.Australia lacks a strong overarching direction in climate change adaptation, including legislation and funding. In a 2019 assessment of adaptation plans for 54 countries, Australia was the lowest performer. This poor performance can be linked to the narrow scope of Australia's approach to adaptation, including the lack of political leadership and the division of powers and allocation of responsibilities in the three tiers of government.The research interrogated urban adaption strategies in three international case studies and found all three case studies emphasise active community participation and leadership in devising and delivering their adaption strategies.The research found that Australian cities and towns should incorporate three main strategic approaches for effective climate change adaptation: long-term investment and holistic approaches building community resilience to deal with the impacts of climate change innovation in structural solutions that respect and reinforce the local ecological system as a way to build resilience.
openalex: W4388599677
Keywords: C:Australia; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:sdg:13 Climate action; oa:topic:T10747 Community Resilience to Natural Disasters; oa:topic:T12656 Impact of Climate Change on Human Migration; openalex:import; openalex:yes

Benefits of using ISSB in school buildings - Nambatya, Mauricia (Open Development & Education, 2023)
An output of the Open Development & Education, https://opendeved.net/
CallNumber: opendeved.1034 ZenodoArchiveID: 10257225 ZenodoArchiveConcept: 10257224 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1034 2129771:3KUTI3BB 5072953:R996U75H
Keywords: _r:AddedByMyEducationEvidence; _z:class:countries; _z:class:themes; evidence_review_2

Is indoor environmental quality in my school classroom safe? - Warwocki, Pawel (2023)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10079928 ZenodoArchiveConcept: 10079927 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1028 2129771:F6PT9SPQ 5072953:YRX5T4BV
Keywords: _r:AddedByMyEducationEvidence; _z:class:countries; _z:class:themes

The Influence of Religious Affiliation and Church Attendance on Climate Change Awareness, Perception, and Action: The Role of Churches through Environmental Education in Nigeria - Nche, George C. (Didaktika: Jurnal Kependidikan, 2023)
Churches can serve as platforms for environmental education, fostering a sense of responsibility towards the environment among their congregations.This study examined the influence of religious affiliation and attendance on climate change awareness, perception, action and perceived role of the church through environmental education in Nigeria. Churchgoers from Catholic, Anglican, and Pentecostal churches from the six geopolitical zones of Nigeria completed the Climate Change Awareness Questionnaire (CCAQ); Climate Change Perception Questionnaire (CCPQ); Churches’ Role Perception Scale (CRPS); and Climate Change Action Assessment Scale (CCAAS) and also provided relevant demographic information. Results of statistical analysis indicated that there was a significant difference between the religious denominations in climate change awareness, perception, action and perceived role of the church. The results also showed that more frequency of attendance to church activities was associated with increased climate change awareness, perception of climate change, climate change action, and perceived role of the church in addressing climate change. Churches must continue incorporating environmental teachings into their religious practices and advocating for environmentally-friendly behaviors among members as ways of contributing to the campaign against climate change.
openalex:W4391054823 mag: KerkoCite.ItemAlsoKnownAs: 10.58230/27454312.453 5072953:3CKKCKCW
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T12656 Impact of Climate Change on Human Migration; oa:topic:T13059 Influence of Religion on Environmental Concern and Activism; oa:topic:T13636 Pentecostalism and its Cultural Impact; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Real-time indoor thermal comfort prediction in campus buildings driven by deep learning algorithms - Ma, Zherui; Wang, Jiangjiang; Ye, Shaoming; Wang, Ruikun; Dong, Fuxiang; Feng, Yingsong (Journal of Building Engineering, 2023)
Thermal comfort prediction is vital in achieving a good indoor environment and efficient energy management. However, thermal comfort is strongly nonlinear and dynamically changing over time, making it difficult to predict thermal comfort accurately. Two real-time thermal comfort prediction models on multi-time scales are proposed based on deep learning algorithms. The indirect prediction model for thermal comfort integrates the bidirectional long and short-term memory network to predict real-time environmental parameters. It subsequently combines the thermal comfort calculation method with the predicted environmental parameters to obtain the predicted thermal comfort value. The indirect prediction model for thermal comfort combines the bidirectional long and short-term memory network to realize real-time prediction of environmental parameters and then calculates thermal comfort by the thermal comfort calculation method to realize indirect thermal comfort prediction. The other is the direct prediction model of thermal comfort, which is realized using the bidirectional long short-term memory network for real-time thermal comfort prediction. The two real-time prediction models are compared and analyzed for 10-min, 30-min, and 60-min scales. Experimental results show that the prediction accuracy of the indirect prediction model is better than the direct prediction model, but the robustness of the indirect prediction model is lower than the direct prediction model. In addition, the accuracy of the thermal comfort prediction model on the small time scale is higher than that on the large time scale, in which the RMSE and MAE reached 0.0551 and 0.0543 (10-min scale), respectively. Therefore, the proposed thermal comfort prediction models can be integrated into the control model of heating, ventilation and air conditioning systems, providing a reference for optimizing indoor thermal comfort.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.jobe.2023.107603 5072953:HJEERC9K 5072953:JMVG6NNN openalex: W4385973216
Keywords: Bidirectional long short-term memory network; Direct prediction; Indirect prediction; Prediction uncertainty; Thermal comfort; _important; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:indoor thermal comfort prediction; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10766 Urban Heat Islands and Mitigation Strategies; oa:topic:T11109 Physiological Responses to Heat Stress in Humans; openalex:n:1; openalex:yes; selected_for:Predictive models for classroom conditions 2024

Improving Australian climate change adaption strategies: learning from international experience - Perugia, Francesca; Rowley, Steven; Swapan, Mohammad Shahidul Hasan (AHURI final report, 2023)
openalex: W4387696955
Keywords: C:Australia; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:sdg:13 Climate action; oa:topic:T14509 Spatial Microsimulation Models for Policy Analysis; openalex:import; openalex:yes

Heating energy demand estimation of the EU building stock: Combining building physics and artificial neural networks - Veljkovic, Ana; Pohoryles, Daniel A.; Bournas, Dionysios A. (Energy and Buildings, 2023)
The aim of this study is to present a novel data-driven approach developed for space heating energy demand calculation of the whole EU building stock. To develop a computationally efficient bottom-up model that takes into account building physics parameters and details of the building stock make-up, an artificial neural network (ANN) is trained on a dataset of precise building-physics models. For this purpose, 2025 building energy simulations were performed in this study, ensuring representativeness for the entire EU, in terms of building stock properties (3 building geometries and 27 combinations of building envelope properties) and climatic conditions (25 weather files). The developed model is the first comprehensive hybrid (ANN and building physics) approach based on a condensed selection of input features, yet covering a wide range of climatic and building stock values, hence suitable for consideration of the spatial, temporal and multinational scale of the EU building stock. A unique building stock model was developed for this study at the EU regional level. The performance of the ANNs was validated by assessing the RMSE and R2 against the training (85%), testing (15%) and total dataset (100%, i.e. 2025 data points), to ensure adequate robustness, accuracy and generalisation capacity. As to the application of the ANN model on the building stock of 27 EU countries, a good accordance between ANN model results and measured consumption over the nine years from 2011 to 2019, was obtained, with an average overestimation by 9.3% (standard deviation (SD) = 5%), which confirmed the adequacy of the adopted methodology. Additional consideration of the occupant behaviour resulted in average overestimating the actual measurements by only 2.4% (SD = 4.7%). In addition to the EU and country level, the added value of the implemented bottom-up approach is its ability to assess the heating energy demand at regional level. Overall, the presented approach can be considered accurate and reliable to be used in future research on the long-term impact of building renovation with respect to energy savings and reductions of greenhouse gas emissions.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2023.113474 5072953:8VB7Z8ID openalex: W4386024563
Keywords: Building physics; EU building stock; Neural network; Space heating; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:energy demand estimation; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10766 Urban Heat Islands and Mitigation Strategies; oa:topic:T11371 Urban Wind Environment and Air Quality Modeling; openalex:n:1; openalex:yes; selected_for:Predictive models for classroom conditions 2024

Real-time energy consumption prediction method for air-conditioning system based on long short-term memory neural network - Zhao, Yifan; Li, Wei; Zhang, Jili; Jiang, Changwei; Chen, Siyu (Energy and Buildings, 2023)
With increasing energy consumption, how to achieve the energy-saving operation of air-conditioning systems is crucial for improving the energy efficiency of buildings. The accurate and reliable energy consumption prediction of air-conditioning systems can be useful for optimizing the energy supply and equipment operation strategies. However, most existing studies focus on the prediction of the long-term energy consumption of air-conditioning systems, which usually exceeds the individual control time steps of the air-conditioning system. If the energy consumption of air-conditioning systems in the next control step can be predicted, then the least energy-consuming operating strategy can be selected at the beginning of each control step by relying on the predicted energy consumption, thereby achieving greater energy conservation. This paper proposes a real-time energy consumption prediction model for air-conditioning systems based on a long short-term memory neural network. The correlation between the energy consumption of air-conditioning system and input variables can be obtained by calculating the Spearman correlation coefficient. The predicted model results show that the normalized root mean square error of the prediction model is 0.0429 when the indoor air temperature, condenser inlet temperature, and historical energy consumption are set as inputs to predict the energy consumption of the air-conditioning system for the next 15 min. Meanwhile, the energy consumption at a certain indoor temperature setpoint can be predicted by the prediction model to aid in selecting a more appropriate indoor temperature setpoint, which can reduce energy consumption by optimizing the operation strategy of the air-conditioning system at each control step.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2023.113527 5072953:EPHFNR2Q openalex: W4386514378
Keywords: Air-conditioning system; C:Mali; Energy consumption; LSTM neural network; Prediction model; _z:class:countries; _z:class:themes; _z:no_pdf; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T11529 Refrigeration Systems and Technologies; oa:topic:T11954 Energy Efficiency in Manufacturing and Industry Sector; openalex:n:1; openalex:yes

International development in a contested world: ending extreme poverty and tackling climate change – A White Paper on International Development (2023)
Keywords: _z:class:countries

PM2.5 Observations of Outdoor and Indoor Environment at Dwarka, New Delhi, India - Malik, Shristy; Rao, A. S.; Dhaka, Surendra K. (MAPAN, 2023)
Measurement of PM2.5 is carried out simultaneously outdoors as well as indoors using a Compact and Useful PM2.5 Instrument (CUPI) from Nov 2018 to Oct 2019. A high-time resolution data (~ 2 min interval) was recorded at Dwarka (West Delhi), New Delhi, to investigate the difference between outdoor and indoor ambient particulate matter. Year-long observations provide an opportunity to decipher that indoor PM2.5 concentration increases significantly from mid-November 2018 to mid-December 2018. During this high concentration occurrence of PM2.5, outdoor concentration was higher in the range of 100–200 µg/m3 than indoor. Indoor pollution was less by 30–50% in comparison to the outdoor environment. Analyses reveal that during a high pollution period, intermittently for a short period, outdoor PM2.5 was less, which coincides with clear weather days suggesting that indoor pollution did not disperse due to a closed environment. Diurnal variation of PM2.5 clearly shows high concentration stays until 12:00 noon in both indoor and outdoor environments, which reduces in the afternoon and again picks up in the evening. Diurnal variation of solar radiation showed a consistent increase from 9 am to 2 pm, while relative humidity declined considerably from 10 am to 4 pm (local time); these two factors correspond to less concentration in both indoor and outdoor environments. However, there is no significant difference between outdoor and indoor concentration during summer and monsoon season.
KerkoCite.ItemAlsoKnownAs: 5072953:PSPPNADD 5072953:ZTZG5U9E
Keywords: C:India; _z:class:countries; _z:no_pdf

Climate Change and Its Implications on School Education in Kenya - Ogendi, George Mokua (2023)
Climate change is the greatest challenge of the 21st century. It is threatening all aspects of societal life. The right to education of children is negatively impacted by these climate-induced challenges. This chapter presents findings of a study on the effects of climate change on the education of the younger generation. The study used a mixed research design method and was done within Kisii Municipality, Kenya. The findings were that climate change and its effects have brought about increased waterborne diseases, reduced available income for families, and compromised living standards, thereby negatively impacting on children's education. To address the effects of climate change, however, provision of appropriate education can go a long way in mitigating these climatic challenges. Secondly, topics on climate change should be included in the school curriculum.
openalex:W4386160772 mag: KerkoCite.ItemAlsoKnownAs: 10.4018/978-1-6684-9099-0.ch007 5072953:V2TDV5X9
Keywords: C:Kenya; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:climate change; oa:keyword:school education; oa:sdg:13 Climate action; oa:topic:T10747 Community Resilience to Natural Disasters; oa:topic:T12656 Impact of Climate Change on Human Migration; oa:topic:T14296 Climate Change and Sustainable Development; openalex:import; openalex:n:1; openalex:yes

Integrating Climate Change Education Into the Curriculum in Kenya - Syallow, Maureen; Dimba, Magdalene; King'ori, Esther Muthoni (2023)
The effects of climate change are a major global concern. In Kenya, the impact of climate change has been felt in perennial droughts which sometimes result into conflict as communities fight for pasture and water. In a bid to address climate change issues, Kenya has developed policies that focus on mitigation and adaptation measures borrowed from ideas outlined in global climate change strategies. One such strategy is the employment of education as a tool to create awareness on climate change issues. This chapter will examine the climate change policies developed by bodies in charge of higher education in Kenya. The chapter will further analyze attempts that have been made to integrate climate change education into curricula. In addition, the chapter will trace the history of discourse that saw the introduction of climate change education in institutions of higher learning. Finally, the chapter will analyze pedagogical strategies that can be employed in teaching climate change content.
openalex:W4386174507 mag: KerkoCite.ItemAlsoKnownAs: 10.4018/978-1-6684-9099-0.ch002 5072953:H8IKIES8
Keywords: C:Kenya; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:climate change; oa:keyword:climate change education; oa:sdg:13 Climate action; oa:topic:T12343 Geography Education and Spatial Thinking; oa:topic:T12656 Impact of Climate Change on Human Migration; oa:topic:T13839 Volunteer Tourism and Global Development Impacts; openalex:import; openalex:n:1; openalex:yes

Climate Change and Disability Inclusion in Uzbekistan (2023)
openalex: W4388189107
Keywords: _z:class:countries; openalex:import; openalex:yes

Indoor Air Quality Implications of Germicidal 222 nm Light - Barber, Victoria P.; Goss, Matthew B.; Franco Deloya, Lesly J.; LeMar, Lexy N.; Li, Yaowei; Helstrom, Erik; Canagaratna, Manjula; Keutsch, Frank N.; Kroll, Jesse H. (Environmental Science & Technology, 2023)
Keywords: _z:class:countries

Optimising multi-factor assistance in a deep learning-based electricity forecasting model with climate resilience: an Australian case study - Yang, Weijia; Sparrow, Sarah; Wallom, David (2023)
With the increasing incidence of power blackouts attributed to climate change, climate-resilient load forecasting is increasingly necessary to enable timely network reconfiguration during extreme weather events. This paper proposes a generalised multi-factor Deep Learning (DL) model to forecast electricity load in Distribution Networks (DNs) during extreme climate periods. We optimise factors that affect forecast accuracy, including input matrix structures, calendar effects, and correlation-based preceding temperatures. The novel input feature selection decreases the Mean Absolute Percentage Error (MAPE) by 30.73% when compared to using instantaneous temperature alone. The model has been developed based on three real DNs in Victoria, Australia, during the wildfire seasons of 2015-2020. The sensitivity to large- scale climate variability, such as El Niño or La Niña, has also been assessed, showing minimal impact. Our model achieves an average forecast MAPE of 2.95%, ensuring that reconfiguration events mitigate rather than exasperate high load conditions during periods of extreme stress.
openalex: W4391342067
Keywords: C:Australia; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T10424 Electricity Market Operation and Optimization; oa:topic:T11052 Electricity Price and Load Forecasting Methods; openalex:import; openalex:n:1; openalex:yes

The impact of climate change on the resilience of banking systems in selected Sub-Saharan economies - Amo-Bediako, Emmanuel; Takawira, Oliver; Choga, Ireen (International Journal of Applied Economics, Finance and Accounting, 2023)
Climate change is seen as a peril to the overall financial system, yet this revelation is in its infant stage. On that note, this study investigates the impact of climate change shocks on banking system resilience in selected Sub-Saharan economies. The study relies on a quantitative research method by first employing a Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) (1,1) model to forecast the volatility series of the climate change variables. Further, the study applies the panel ARDL model to disseminate the longand short-term associations between the obtained conditional variances of climate change parameters and banking system resilience within a time frame of 1996-2017 for 29 selected economies. The results show that banking systems in SSA are resilient to temperature shocks in the long-term. However, the study finds that the banking systems in SSA are not resilient to both precipitation and greenhouse gas shocks in the long-term. For the short-term impact assessment, the study finds that banking systems in SSA are resilient to only precipitation shocks. The study concludes that banking sectors in SSA should vigorously conduct stress-testing on climate-related financial risks and also design forward-looking strategies as well as climate change risk management procedures in the wake of climate change events.
Keywords: _z:class:countries

Spatio-temporal interpretable neural network for solar irradiation prediction using transformer - Gao, Yuan; Miyata, Shohei; Matsunami, Yuki; Akashi, Yasunori (Energy and Buildings, 2023)
Deep learning models have been increasingly applied in the field of solar radiation prediction. However, the characteristics of a deep learning black box model restrict its application in practical scenarios such as model predictive control. Because energy system controllers may be unable to make final decisions based solely on the predictions of a black-box model. This study considers both the temporal and spatial dependencies of solar radiation predictions through unfolding sequences and applying a transformer model As the results indicate, the transformer model used can improve the mean absolute percent error by approximately 20.9% and the mean squared error by 14.3% compared to the baseline recurrent neural network model. At the same time, detailed case studies show that the transformer model heavily considers humidity and temperature when predicting the more significant outcomes Finally, the detailed results of a one-step analysis prove that the change in weight of the transformer model is related to the change in outdoor weather conditions.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2023.113461 5072953:ZT667M7S openalex: W4386034952
Keywords: Building energy management; Interpretable deep learning; Solar irradiation prediction; Transformer; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:solar irradiation prediction; oa:sdg:7 Affordable and clean energy; oa:topic:T10468 Photovoltaic Maximum Power Point Tracking Techniques; oa:topic:T11052 Electricity Price and Load Forecasting Methods; oa:topic:T11276 Machine Learning Methods for Solar Radiation Forecasting; openalex:n:1; openalex:yes

Identifying gaps on health impacts, exposures, and vulnerabilities to climate change on human health and wellbeing in South America: a scoping review - Palmeiro-Silva, Yasna K.; Lescano, Andrés G.; Flores, Elaine C.; E, Yamileth Astorga; Rojas, Luis; Chavez-Hermosilla, Mario; Mora-Rivera, Wendel; Hartinger, Stella M. (The Lancet Regional Health - Americas, 2023)
There is an important gap in regional information on climate change and health, limiting the development of science-based climate policies in South American countries. This study aims to identify the main gaps in the existing scientific literature on the impacts, exposure, and vulnerabilities of climate change on population health. A scoping review was performed guided by four sub-questions focused on the impacts of climate change on physical and mental health, exposure and vulnerability factors of population to climate hazards. The main findings showed that physical impacts mainly included infectious diseases, while mental health impacts included trauma, depression, and anxiety. Evidence on population exposure to climate hazards is limited, and social determinants of health and individual factors were identified as vulnerability factors. Overall, evidence on the intersection between climate change and health is limited in South America and has been generated in silos, with limited transdisciplinary research. More formal and systematic information should be generated to inform public policy.None.
openalex: W4386122878
Keywords: _z:class:countries; evidence_review; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Prediction of window opening behavior and its impact on HVAC energy consumption at a residential dormitory using Deep Neural Network - Pandey, Pratik Raj; Dong, Bing (Energy and Buildings, 2023)
Individuals globally spend about 88–92% of their entire time in the indoor environment. The implementation of regularly scheduled systems operation is common in many commercial and residential building types. Occupant Behavior (OB) is highly stochastic, making it difficult to depict the human factor using simple schedules. In the present work, window-opening tendencies were found to be highest in summer and transition seasons and lowest during winter. The Air Changes per Hour (ACH) value obtained from blower door testing was compared with the average ACH value obtained from the mass balance equation. These ACH values were imported to the EnergyPlus model. A three-hidden layered deep neural network was developed to predict the window's state at 16 residential dorms. The data was collected from August 2021 to May 2022 to train and test the DNN models. 48 windows’ operations were measured during this timeframe and 48 DNN models were created with an average accuracy of 96.71% and an average True Positive Rate (TPR) of 0.9136. Bedroom windows were found to be more time-dependent than living room windows. Incorporating time components into the bedroom window opening models can increase the TPR by 0 to 6%. The models were then integrated into the Energy Plus simulation engine using the newly introduced Python API to simulate the total HVAC energy consumption during the occupied heating season of 2021–2022. The DNN coupled model predicts 16,350 kWh energy is lost through windows from eight homes in an occupied heating season.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2023.113355 5072953:PXYQW8KW openalex: W4384156628
Keywords: Artificial intelligence; Deep Neural Network; Energy loss through windows; Occupant behavior; Residential dorms; Window operation; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:hvac energy consumption; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10766 Urban Heat Islands and Mitigation Strategies; oa:topic:T12256 Impact of Workspace Environment on Work Performance; openalex:n:1; openalex:yes

Understanding the complex dynamics of climate change in south-west Australia using Machine Learning - Yadav, Alka; Das, Sourish; Bakar, K. Shuvo; Chakrabarti, A. (Physica A: Statistical Mechanics and its Applications, 2023)
The climate system is an excellent example of a “complex system” since there is an interplay and inter-relation of several climate variables. Variables such as the Standardized Precipitation Index (SPI) are used to indicate the drought climate condition – a negative (or positive) value of SPI would imply a dry (or wet) state in a region. It is difficult to identify the factors influencing the SPI or their inter-relations (including feedback loops). Here, we aim to study the complex dynamics that SPI has with the sea surface temperature (SST), El Niño Southern Oscillation (ENSO) (aka., NINO 3.4) and Indian Ocean Dipole (IOD), using a machine learning approach. Our findings are: (i) IOD was negatively correlated to SPI till 2008; (ii) until 2004, SST was negatively correlated with SPI; (iii) from 2005 to 2014, the SST had swung between negative and positive correlations; (iv) since 2014, we observed that the regression coefficient (δ) corresponding to SST has always been positive; (v) the SST has an upward trend, and the positive upward trend of δ implied that SPI has been positively correlated with SST in recent years; and finally, (vi) the current value of SPI has a significant positive correlation with a past SPI value with a periodicity of about 7.5 years. Examining the complex dynamics, we used a statistical machine learning approach to construct an inferential network of these climate variables, which revealed that SST and NINO 3.4 directly couples with SPI, whereas IOD indirectly couples with SPI through SST and NINO 3.4. The system also indicated that Nino 3.4 significantly negatively affects SPI. If Nino 3.4 increases (decreases), the SPI drops (increases) considerably, leading to more drought (wet) conditions. Interestingly, there was a structural change in the complex dynamics of the four climate variables of NINO 3.4, IOD, SST, and SPI, sometime in 2008. Though a simple 12-month moving average of SPI over 58 years (1961–2018) has a negative trend towards drought, the complex dynamics of SPI with other climate variables indicate a wet season for south-west Australia.
openalex: W4385880672
Keywords: C:Australia; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:topic:T10029 Climate Change and Variability Research; oa:topic:T10466 Numerical Weather Prediction Models; oa:topic:T11186 Global Drought Monitoring and Assessment; openalex:import; openalex:yes

Understanding the complex dynamics of climate change in south-west Australia using Machine Learning - Yadav, Alka; Das, Sourish; Bakar, K. Shuvo; Chakrabarti, A. (Physica A: Statistical Mechanics and its Applications, 2023)
The climate system is an excellent example of a “complex system” since there is an interplay and inter-relation of several climate variables. Variables such as the Standardized Precipitation Index (SPI) are used to indicate the drought climate condition – a negative (or positive) value of SPI would imply a dry (or wet) state in a region. It is difficult to identify the factors influencing the SPI or their inter-relations (including feedback loops). Here, we aim to study the complex dynamics that SPI has with the sea surface temperature (SST), El Niño Southern Oscillation (ENSO) (aka., NINO 3.4) and Indian Ocean Dipole (IOD), using a machine learning approach. Our findings are: (i) IOD was negatively correlated to SPI till 2008; (ii) until 2004, SST was negatively correlated with SPI; (iii) from 2005 to 2014, the SST had swung between negative and positive correlations; (iv) since 2014, we observed that the regression coefficient (δ) corresponding to SST has always been positive; (v) the SST has an upward trend, and the positive upward trend of δ implied that SPI has been positively correlated with SST in recent years; and finally, (vi) the current value of SPI has a significant positive correlation with a past SPI value with a periodicity of about 7.5 years. Examining the complex dynamics, we used a statistical machine learning approach to construct an inferential network of these climate variables, which revealed that SST and NINO 3.4 directly couples with SPI, whereas IOD indirectly couples with SPI through SST and NINO 3.4. The system also indicated that Nino 3.4 significantly negatively affects SPI. If Nino 3.4 increases (decreases), the SPI drops (increases) considerably, leading to more drought (wet) conditions. Interestingly, there was a structural change in the complex dynamics of the four climate variables of NINO 3.4, IOD, SST, and SPI, sometime in 2008. Though a simple 12-month moving average of SPI over 58 years (1961–2018) has a negative trend towards drought, the complex dynamics of SPI with other climate variables indicate a wet season for south-west Australia.
openalex: W4385880672
Keywords: C:Australia; C:India; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:topic:T10029 Climate Change and Variability Research; oa:topic:T10466 Numerical Weather Prediction Models; oa:topic:T11186 Global Drought Monitoring and Assessment; openalex:import; openalex:yes

Climate, environment and schools in Tanzania - Fab Inc; Laterite (2023)
KerkoCite.ItemAlsoKnownAs: 5072953:7AEEJ3QV
Keywords: C:Tanzania; _z:class:countries; _z:class:themes

Educators' Perceptions of Climate Change Education in Pakistan & Students’ Readiness - Saeed, Atif (Pakistan journal of educational research, 2023)
This qualitative study aims to investigate the outlook of geography educators in Pakistan. It involves a group of around twelve participants, primarily aiming to understand their viewpoints regarding the goals of climate change education; it also explores how these viewpoints influence their teaching approaches, especially when dealing with contentious topics in geography education. The research delves into the complex educational landscape related to climate change education in Pakistan. The study's results reveal that educators' perspectives on the objectives of climate change education significantly impact their willingness to address controversial subjects in their classrooms. Additionally, the study reveals that educators' beliefs concerning their students' academic abilities significantly influence their strategies for addressing contentious aspects of climate change education, resulting in tailored approaches for various student demographics. This study provides valuable insights into the mindset of Pakistani educators concerning climate change education. It sheds light on the factors that inform their pedagogical decision-making. By examining these dynamics, the study aims to contribute to the discourse on climate change education in Pakistan, addressing the unique challenges and opportunities posed by this critical global issue. This research underscores the importance of comprehensive and inclusive climate change education that equips all students to engage with environmental issues effectively. Such an approach holds the potential to foster a more equitable and impactful education system, not only in Pakistan but also in other regions globally
openalex: W4388799298
Keywords: C:Pakistan; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T12343 Geography Education and Spatial Thinking; oa:topic:T12904 Agricultural Education and School Gardening Research; openalex:import; openalex:yes

Monitoring, evaluation and learning (MEL) in farmer field schools on food security and adaptation to climate change: pilot testing of a framework in Malawi - Berg, Henk van den; Chikomola, Anderson; Bondo, Austin; Ameny, Thomas; Okoth, J.; Kamwendo, Noella; Dicke, Marcel; Kirichu, Samuel (Food Security, 2023)
The farmer field school (FFS) has been promoted as an approach for educating farmers on making adaptive farming decisions. In Malawi, the FFS has been used to enhance food security within the context of adaptation to climate change. Monitoring, evaluation and learning (MEL) extends the learning cycle from the core of the FFS to the project level to facilitate learning and adaptation for improvement of interventions. This study’s objectives were to test the utility of a MEL framework for the FFS, and to explore the effects of the FFS. The framework differentiated between four capital domains. Data were collected from 33 FFS groups at 2–4 years after the start of the FFS, using spider diagramming, focus group discussions, and direct observation. These tools demonstrated their feasibility and acceptability for use by practitioners at the district level and provided cross-verification of results, whereas limitations included the risk of biased results, e.g. due to vested interests of respondents. The MEL methods can be adapted for use in other FFS programmes and other contexts through modification of the framework’s targets or questions. The effects of the FFS were evident for most targets in the human, social and natural domains, whilst effects for some targets in the financial domain were smaller. Effects that were indicative of food security and adaptation to climate change included improvements in adaptive capacity, experimentation, crop cultivation practices, crop diversification, collective actions, food sources and meals, and savings.
openalex:W4386982759 mag: KerkoCite.ItemAlsoKnownAs: 10.1007/s12571-023-01386-0 5072953:MJWTDTUM
Keywords: C:Malawi; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T10367 Agricultural Innovation and Livelihood Diversification; oa:topic:T11610 Impact of Food Insecurity on Health Outcomes; oa:topic:T12896 Evaluation of Environmental Impact in Agriculture; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Perception of Climate Change at Ain Shams Medical Campus: A Survey of Egyptian Medical Students - Yousef, Shaimaa; Momen, Mohamed; Abdellatif, Aya (The Egyptian Journal of Community Medicine, 2023)
openalex:W4387041105 KerkoCite.ItemAlsoKnownAs: 10.21608/ejcm.2023.220870.1264 5072953:FKN564PA
Keywords: C:Egypt; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:sdg:13 Climate action; oa:topic:T11244 Impact of Climate Change on Human Health; oa:topic:T11488 Perceptions and Communication of Climate Change; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Climate Change and Transatlantic Slavery: Uncomfortable parallels, uncertain futures - Niles, Keron (Pan-African Conversations, 2023)
The article examines the causes and effects of climate change and juxtaposes these with the transatlantic slave trade to glean what lessons, if any, can be learnt. It further explores any systemic linkages between transatlantic slavery and climate change, and proffers sustainable recommendations for mitigating the current dilemmas associated with slavery and climate change. To this end, this study finds that the effects of transatlantic slavery and climate change reveal multi-generational impacts related to a lack of representation, the disproportionate distribution of benefits and costs, cultural losses, and a lack of frameworks to facilitate compensation to those adversely affected. The article concludes by underscoring useful measures that can be adopted to combat the proliferation of similar problems in the future.
Number: 2
Keywords: _z:class:countries

Prototype Design of Automatic Switching Speed of Exhaust Fan For Indoor Air Quality Control With Warning Alarm System Based on IoT - Adziimaa, Ahmad Fauzan; Ardiatmajaya, Egik; Utami, Riski Mulyaning (2023 International Conference on Electrical and Information Technology (IEIT), 2023)
Keywords: _z:class:countries

Terminal evaluation of the project “Strengthening capacities of agricultural producers to cope with climate change for increased food security through the Farmer Field School approach in Mozambique” (2023)
openalex:W4386640060 KerkoCite.ItemAlsoKnownAs: 10.4060/cc6976en 5072953:NG4G2AIU
Keywords: C:Mozambique; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:farmer field school approach; oa:sdg:2 Zero hunger; oa:topic:T12896 Evaluation of Environmental Impact in Agriculture; openalex:import; openalex:n:1; openalex:yes

Improving learning through classroom experience in Tanzania – Presentation - Pattni, Ravina; Villavicencio Peralta, Xuzel; Toyinbo, Oluyemi; Proctor, Jamie; Forbes, Catriona; Atherton, Paul; Haßler, Björn (Laterite, Fab Inc, Open Development & Education, 2023)
This conference paper was delivered at UKFIET 2023 (Oxford). IT was a joint presentation between Laterite, Fab Inc, and Open Development & Education, as well as FCDO.
ZenodoArchiveID: 10044115 ZenodoArchiveConcept: 10044114 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1025 2129771:ICBNFIUW 2129771:JNMJ2AAW 2129771:U5GXRKUD 5072953:V6YBP2PG
Keywords: C:Tanzania; _r:AddedByMyEducationEvidence; _z:class:countries; _z:class:themes

Trialling environmental sensors in Tanzanian schools – First pilot - Toyinbo, Oluyemi; Villavicencio, Xuzel; Haßler, Björn (2023)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10257287 ZenodoArchiveConcept: 10257286 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1035 2129771:NFNWZX3A 5072953:FZCR8IW7
Keywords: C:Tanzania; _publish; _r:AddedByMyEducationEvidence; _z:class:countries; _z:class:themes

Conducting surveys in Tanzanian schools – Second pilot - Villavicencio, Xuzel; Haßler, Björn; Toyinbo, Oluyemi (2023)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10257420 ZenodoArchiveConcept: 10257419 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1036 2129771:EZ9EFDFS 5072953:YFY9R5AI
Keywords: C:Tanzania; _r:AddedByMyEducationEvidence; _z:class:countries; _z:class:themes

The impact of climate change on cognitive performance of children in English school stock: A simulation study - Dong, Jie; Schwartz, Yair; Korolija, Ivan; Mumovic, Dejan (Building and Environment, 2023)
Children in England spend around 30% of their time in schools to gain knowledge and skills. Climate change could impact schools' thermal environments and children's learning performance by impairing their cognitive ability. This study presents an evaluation approach to investigating and quantifying climate change's impact on the cognitive performance of children across English school stocks. The study also evaluates the potential of possible strategies for mitigating the impacts of climate change. The results show that future climates are projected to increase cognitive performance loss of children in school archetypes representative of school stocks, with variations based on regional climate characteristics. Increasing ventilation rates proves to be an effective means of reducing cognitive performance loss, while its effectiveness diminishes as outdoor temperatures rise in the future. Thus, the introduction of air conditioning becomes a potentially more beneficial strategy, despite the associated increase in cooling energy demand. Moreover, higher ventilation rates in air-conditioned classrooms can further improve children's cognitive performance. The use of cognitive performance loss as a Key Performance Indicator (KPI) allows for better communication and understanding of climate change risks faced by schools among building and non-building experts. The proposed evaluation approach remains adjustable and can be continuously updated and enhanced as new insights from psychological research emerge.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.buildenv.2023.110607 2129771:DHHN5N8V 4874017:ZSQG47I2
Keywords: Building stock modelling; Climate adaptation; Climate change; Climate resilience; Cognitive performance; School; evidence_review

Optimizing the control of Venetian blinds with artificial neural networks to achieve energy savings and visual comfort - Nicoletti, Francesco; Kaliakatsos, Dimitrios; Parise, Mirco (Energy and Buildings, 2023)
Solar shading devices, such as Venetian blinds, are effective in controlling heat and light gain in buildings. This study focuses on developing an Artificial Neural Network (ANN) to automate the management of Venetian blinds in order to find a balance between energy savings and visual comfort. Typically, automatic control strategies rely on cut-off angles or maintaining appropriate indoor illuminance. However, finding the optimal trade-off between solar gain and daylight is challenging, particularly in regions with temperate or tropical climates. To this end, this paper proposes a novel approach to identify the best slat arrangement. The optimal angle is determined by simulating all possible slat angles using EnergyPlus and selecting the one that maximizes an objective function. The ANN is trained to recognize this angle as a function of variables that can be easily measured in situ. The resulting building’s behavior is tested on EnergyPlus using the output provided by the ANN. The results demonstrate that the target angle can be identified with high reliability, even for windows with different orientation and in other cities. The energy savings for heating/cooling are up to 37.7 %/38.7 %. The UDI200-800 increases by up to 38.5 % at the expense of a slight increase in lighting consumptions (13.5 %).
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2023.113279 5072953:T9LHX7GY openalex: W4381051659
Keywords: Artificial neural networks; Building management system; Optimal angle; Solar radiation; Venetian blinds; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:venetian blinds; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10766 Urban Heat Islands and Mitigation Strategies; oa:topic:T11371 Urban Wind Environment and Air Quality Modeling; openalex:n:1; openalex:yes

Modelling urban dwellers’ indoor heat stress to enhance heat-health warning and planning - Yi, Choo-yoon; Peng, Chengzhi; Robinson, Darren (Building and Environment, 2023)
Due to climate change, the intensity, duration and frequency of heatwaves are likely to increase in the coming years. Excessive heat events can increase local urban heat island intensity affecting the health and wellbeing of urban dwellers vulnerable to heat stress. Heat-Health Warning Systems (HHWSs) have been developed to warn the public of impending heat events and to advise on preventable negative health outcomes. However, metrics upon which action triggers are made in HHWSs rely on reported critical outcomes, such as heat-related excess death. Thus, human exposure to heat is underestimated in current metrics and consequently, their capacity to prevent heat-related health risks remains uncertain, particularly indoors. This study investigates how indoor heat stress in urban dwellings at a city-scale can be modelled to enhance Heat-Health Warning and Planning. First, the effects of housing typologies on indoor thermal conditions are quantified in a local urban microclimate context. We then model the dynamic relationships between outdoor climate and indoor heat exposure to identify specific outdoor climatic thresholds as action triggers for alerting urban dwellers’ indoor heat stress. Based on urban microclimate data available for a city of Birmingham UK, a proof-of-principle study is presented. The result shows the presence of large variances in the heat-health action triggers across different housing typologies. This is further extended to consider the Birmingham climate projection scenarios provided by the UKCP18. Compared to the current UK Heat-Health Alert Service, we show how indoor heat stress warnings may look like and the implications for long-term heat-health planning.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.buildenv.2023.110623 5072953:XIJ4Q5AL 5072953:XU2AEQSL openalex: W4384775158
Keywords: Building typologies; Heat-health plan; Heat-health warning systems (HHWSs); Heatwaves; Indoor heat stress; Urban heat island; _important; _z:class:countries; _z:class:themes; oa:keyword:heat stress; oa:keyword:indoor heat stress; oa:sdg:13 Climate action; oa:topic:T10190 Health Effects of Air Pollution; oa:topic:T10766 Urban Heat Islands and Mitigation Strategies; oa:topic:T11244 Impact of Climate Change on Human Health; openalex:n:1; openalex:yes; selected_for:Predictive models for classroom conditions 2024

Mechanisms of urban blue-green infrastructure on winter microclimate using artificial neural network - Fei, Fan; Wang, Yan; Wang, Luyao; Fukuda, Hiroatsu; Yao, Wanxiang; Zhou, Yue; Dong, Xiaohan (Energy and Buildings, 2023)
In response to climate change, urban blue-green infrastructure (UBGI) improves the microclimate of the built environment. In previous research, UBGI (consisting of water and greenery) is found to be a cold source in the summer, alleviating urban thermal stress. However, studies on the heating effect of UBGI in the winter are limited. This effect can improve environmental temperature, which is beneficial to human thermal comfort in the cold season. Therefore, this study conducted the objective and subjective evaluation of the winter microclimate of UBGI through field measurement and questionnaire in China’s cold regions. The coupling mechanisms of UBGI on winter microclimate were quantified by using the artificial neural network (ANN), and the thermal demand characteristic of UBGI users was established. The study results showed that the heating effect of water and greenery was most significant at a distance of 4 m from the water in the winter. Neural network-predicted models are established to discuss coupling mechanisms in depth. The new microclimate influence (MI) model of coupling mechanisms was proposed based on the ANN. In addition, when the air temperature was 9.07–14.75℃, the UBGI not only satisfied the thermal comfort demand but also had a greater comfort level than general urban underlying surfaces did. The universal thermal climate index (UTCI) evaluation based on the coupling mechanisms for UBGI users was obtained. This study offers scientific guidance and reference for the planning and redevelopment of UBGI.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2023.113188 5072953:IM52JB9Z openalex: W4378417862
Keywords: Artificial neural network; C:China; Mechanisms; Urban blue-green infrastructure; _z:class:countries; _z:class:themes; _z:no_pdf; microclimate influence (MI) model; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10692 Impact of Urban Green Space on Public Health; oa:topic:T10766 Urban Heat Islands and Mitigation Strategies; openalex:n:1; openalex:yes

Mechanisms of urban blue-green infrastructure on winter microclimate using artificial neural network - Fei, Fan; Wang, Yan; Wang, Luyao; Fukuda, Hiroatsu; Yao, Wanxiang; Zhou, Yue; Dong, Xiaohan (Energy and Buildings, 2023)
In response to climate change, urban blue-green infrastructure (UBGI) improves the microclimate of the built environment. In previous research, UBGI (consisting of water and greenery) is found to be a cold source in the summer, alleviating urban thermal stress. However, studies on the heating effect of UBGI in the winter are limited. This effect can improve environmental temperature, which is beneficial to human thermal comfort in the cold season. Therefore, this study conducted the objective and subjective evaluation of the winter microclimate of UBGI through field measurement and questionnaire in China’s cold regions. The coupling mechanisms of UBGI on winter microclimate were quantified by using the artificial neural network (ANN), and the thermal demand characteristic of UBGI users was established. The study results showed that the heating effect of water and greenery was most significant at a distance of 4 m from the water in the winter. Neural network-predicted models are established to discuss coupling mechanisms in depth. The new microclimate influence (MI) model of coupling mechanisms was proposed based on the ANN. In addition, when the air temperature was 9.07–14.75℃, the UBGI not only satisfied the thermal comfort demand but also had a greater comfort level than general urban underlying surfaces did. The universal thermal climate index (UTCI) evaluation based on the coupling mechanisms for UBGI users was obtained. This study offers scientific guidance and reference for the planning and redevelopment of UBGI.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2023.113188 5072953:IM52JB9Z openalex: W4378417862
Keywords: Artificial neural network; Mechanisms; Urban blue-green infrastructure; _z:class:countries; _z:class:themes; _z:no_pdf; microclimate influence (MI) model; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10692 Impact of Urban Green Space on Public Health; oa:topic:T10766 Urban Heat Islands and Mitigation Strategies; openalex:n:1; openalex:yes

Graph neural network-based spatio-temporal indoor environment prediction and optimal control for central air-conditioning systems - Zhang, Jing; Xiao, Fu; Li, Ao; Ma, Tianyou; Xu, Kan; Zhang, Hanbei; Yan, Rui; Fang, Xing; Li, Yuanyang; Wang, Dan (Building and Environment, 2023)
Model-based optimal control has proven its effectiveness in optimizing the performance of central air-conditioning systems in terms of thermal comfort and energy efficiency. It was often assumed that temperature distribution in the entire air-conditioned space is uniform and can be represented by a single or averaged measurement in optimization. However, actual distribution in the air-conditioned space is usually uneven, which can affect thermal comfort and indoor air quality. The dynamics of air conditioning systems and their interactions with the built environment exist in both time and space domains. Conventional data-driven approaches typically concentrate on the temporal correlations only among building operation data, while neglecting the spatial correlations. This study proposed a spatio-temporal data-driven methodology for optimal control of central air conditioning systems, which aims to address the challenging issue of uneven spatial distributions of environmental parameters in air-conditioned space. The methodology consists of graph-based multi-source data integration, graph neural network-based indoor environment modeling and spatio-temporal model-based online optimal control. The proposed methodology is tested on real air handling unit-variable air volume (AHU-VAV) system in a high-rise office building through a cloud-based platform. Spatio-temporal data from building automation system (BAS), internet of things (IoT) devices and building information modeling (BIM) are integrated and organized as graph structure. Graph neural network models are developed for predicting the evolution of indoor air temperature distribution under different control settings. The developed graph neural network-recurrent neural network (GNN-RNN) model architectures show enhanced accuracy than conventional deep learning models (i.e., convolutional neural network-recurrent neural network (CNN-RNN), Dense-RNN). And the cloud-based online test demonstrates that the proposed model-based control strategy improves the percentage of time achieving Grade I thermal comfort from 36.5% (i.e., existing control strategy) to 81.3%.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.buildenv.2023.110600 5072953:VRBHK3GI openalex: W4383497835
Keywords: Air conditioning system; Graph neural network; Indoor environment; Machine learning; Optimal control; _z:class:countries; _z:class:themes; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T12120 Low-Cost Air Quality Monitoring Systems; openalex:n:1; openalex:yes

Building performance simulation in the brave new world of artificial intelligence and digital twins: A systematic review - de Wilde, Pieter (Energy and Buildings, 2023)
In an increasingly digital world, there are fast-paced developments in fields such as Artificial Intelligence, Machine Learning, Data Mining, Digital Twins, Cyber-Physical Systems and the Internet of Things. This paper reviews and discusses how these new emerging areas relate to the traditional domain of building performance simulation. It explores the boundaries between building simulation and these other fields in order to identify conceptual differences and similarities, strengths and limitations of each of these areas. The paper critiques common notions about these new domains and how they relate to building simulation, reviewing how the field of building performance may evolve and benefit from the new developments.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2023.113171 5072953:RCUUUF9P openalex: W4377023743
Keywords: Artificial intelligence; Building performance simulation; Cyber-physical system; Data mining; Digital twin; Internet of things; Machine learning; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:digital twins; oa:sdg:11 Sustainable cities and communities; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T11006 Building Information Modeling in Construction Industry; oa:topic:T11211 3D Geospatial Modelling Techniques; openalex:n:1; openalex:yes

People with Disabilities Needed in Fight Against Climate Change (Climate Change and Law Collection, 2023)
openalex: W4385428232 KerkoCite.ItemAlsoKnownAs: 10.1163/9789004322714_cclc_2020-0150-0760 5072953:WMUBTFY7 5440726:FIWZ73QK
Keywords: _z:class:countries; openalex:import; openalex:yes

A Case Study on PV-Aided Net Zero-Energy Building: the Daycare in IKCU - Djana, Loic Rebnodji; Güngör, Şahin (Scientific Research Communications, 2023)
At the core of our growing societies, energy supply stands as one of the major concerns today, and it will be an inevitable challenge for our near future. As the nations are looking to find solutions for the transition from fossil fuels – depleting at a high rate – to alternative energy sources, solar energy through PV cells is getting attention as an affordable and easily implemented option especially for power supply in commercial and residential buildings. This work consists in analyzing the possibility to cover the entire energy needs of a building via PV solar cells for the case of a constructed daycare. In this case study, HVAC energy requirement has been calculated by the TS825 standard. The standard specifies a method for calculating the net heating/ventilation energy need and provides the rules for calculating the maximum allowable temperature in buildings. First, dimensions of the investigated building are taken and characteristics affecting the thermal insulation are assessed. Then, other energy needs, mainly lighting and electrical devices, are computed in the analysis as internal electricity needs. The scope of this work extends to the assessment of indoor air quality for occupants of building, which is an important aspect in our case study where the occupants are children. ASHRAE standards 62.1 is utilized for this purpose. The standard specifies minimum ventilation rates and other measures intended to provide acceptable indoor air quality to human occupants and that minimizes adverse health effects. The results are obtained for monthly varying solar exposition in the specified area where the building is located to provide supply for the determined energy demand via solar energy. Finally, monocrystalline PV panel system has been proposed with proper orientation and adequate power potential. Based on the obtained results, as well as the economical aspect, inferences and suggestions are made for improvements.
Keywords: _z:class:countries

The Impact of Social Media Influence on Attitudes toward Sustainable Consumption “A Mediation Analysis of Climate Change Awareness” An applied Study on Higher Education Students in Egypt - Mussa, Mona Hamed (المجلة العلمية للدراسات التجارية والبيئية, 2023)
openalex:W4388162043 mag: KerkoCite.ItemAlsoKnownAs: 10.21608/jces.2023.321481 5072953:ZXSTI7V9
Keywords: C:Egypt; _z:class:countries; _z:class:themes; oa:keyword:climate change awareness”; oa:sdg:13 Climate action; oa:topic:T10609 Impact of Social Media on Consumer Behavior; oa:topic:T10880 Drivers and Impacts of Green Consumer Behavior; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

A Raspberry Pi Zero-based Basestation for environmental data collection - Haßler, Björn; Hassan, Mansour; Mahamane, Amina (Open Development & Education, 2023)
original-date: 2023-07-15T20:50:01Z KerkoCite.ItemAlsoKnownAs: 4874017:C873IPY5 5072953:8DCZBFEV
Keywords: _z:class:countries; _z:class:themes

Enhancing community resilience to climate change disasters: Learning experience within and from sub‐Saharan black immigrant communities in western Canada - Acharibasam, John Bosco; Datta, Ranjan (Sustainable Development, 2023)
Abstract Enhancing community capacity towards resilience is key to reducing climate disaster risk, especially in Black immigrant communities in Canada. While there are many extreme climate change events occurring, such as hailstorms, floods, snowstorms, forest fires, droughts, and heat waves in western Canada, there is no known study that has explored resilience within sub‐Saharan African immigrant communities to climate disaster risks in western Canada. All these extreme climate change events have devastated Black populations threatening their ability to cope with disaster risks. Following a decolonial phenomenology methodological framework research approach; our study explores sub‐Saharan African immigrant communities' adaptation strategies to address climate disaster risk in western Canada. In this research, our main purpose was to investigate whether community resilience strategies implemented by the two provinces (Saskatchewan and Alberta) meet the unique needs of sub‐Saharan African Immigrants. By exploring local communities' perspectives on climate change, we highlighted the relevance of inclusivity in climate capacity building to reduce disaster risk and cope with climate change‐related disasters in the localities. Our findings revealed that personal experiences with climate change risks significantly influenced communities' strength and resilience and contributed to their resilience strategies. We view this paper as a first step in developing a community‐led climate change resilience research agenda that will have a practical application for the community in the face of climate change in Canada.
openalex: W4384407272
Keywords: C:Canada; _z:class:countries; _z:class:themes; oa:keyword:climate change disasters; oa:keyword:community resilience; oa:sdg:13 Climate action; oa:topic:T10439 Adaptation to Climate Change in Agriculture; oa:topic:T10747 Community Resilience to Natural Disasters; oa:topic:T12656 Impact of Climate Change on Human Migration; openalex:import; openalex:yes

Conducting a systematic review in six weeks – experiences with and evaluation of an intensive team pilot project - Ames, Heather; Kornør, Hege; Evensen, Line Holtet; Lidal, Ingeborg Beate; Hafstad, Elisabet; Hestevik, Christine Hillestad; Jardim, Patricia Sofia Jacobsen; Hval, Gyri (Research Square (Research Square), 2023)
Abstract Background Evidence synthesis organisations worldwide are trying to meet commissioners’ need for rapid responses to their evidence synthesis commissions. In this project we piloted an intensive process, working to complete an evidence synthesis within six-weeks, rather than the standard lead time of 4-6 months. There were three objectives: 1) To develop a plan for and conduct an evidence synthesis in six weeks or less (“intensive pilot”) 2) To register time used for the intensive pilot 3) To evaluate the intensive pilot process and identify barriers, facilitators, learning points, areas for improvement or future implementation ideas. Methods The two project teams divided the pilot into three phases: Pre-planning, planning and intensive. During the pre-planning phase commissions were identified and researchers were recruited. During the planning phase the team interacted with the commissioner, completed the evidence synthesis protocol, and planned how they were going to work together during the intensive phase. During the intensive phase the team implemented their plan and completed the evidence synthesis they were assigned. We held reflective meetings and kept evaluator notes throughout the process. Results The team was able to achieve the project objectives. They developed and implemented a plan for conducting an evidence synthesis in six weeks. They registered their times use. During the pilot process the team reflected on and evaluated the process itself to identify barriers, facilitators, learning points, areas for improvement or future implementation ideas. The involved researchers preferred working in this intensive way. They felt that time use was more effective, and they were more focused. However, there are implications for project leadership and implementation that should be considered before implementing an intensive approach in future evidence synthesis projects. Conclusions The involved researchers preferred working intensively with one evidence synthesis over being involved with many projects at the same time. They felt that time use was more effective, and they were able to complete the tasks in a focused way. However, there are several implications for project management, leadership and further implementation that should be considered before implementing an intensive approach in future evidence syntheses.
openalex: W4383371218
Keywords: _z:class:countries; evidence_review; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Human-AI Collaboration to Identify Literature for Evidence Synthesis - Spillias, Scott; Tuohy, P; Andreotta, Matthew; Annand-Jones, R; Boschetti, Fabio; Cvitanovic, Christopher; Duggan, Joe; Fulton, Elizabeth A.; Karcher, Denis B.; Paris, Cécile; Shellock, Rebecca; Trebilco, Rowan (Research Square (Research Square), 2023)
Abstract Systematic approaches to evidence synthesis can improve the rigour, transparency, and replicability of a traditional literature review. However, these systematic approaches are time and resource intensive. We evaluate the ability of OpenAI’s ChatGPT to undertake two initial stages of evidence syntheses (searching peer-reviewed literature and screening for relevance) and develop a novel collaborative framework to leverage the best of both human and AI intelligence. Using a scoping review of community-based fisheries management as a case study, we find that with substantial prompting, the AI can provide critical insight into the construction and content of a search string. Thereafter, we evaluate five strategies for synthesising AI output to screen articles based on predefined inclusion criteria. We find low omission rates (< 1%) of relevant literature by the AI are achievable, which is comparable to that of human screeners. These findings show that generalised AI tools can assist reviewers with evidence synthesis to accelerate the implementation and improve the reliability of a review.
openalex: W4383198986
Keywords: _z:class:countries; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Sensorboard for use with Raspberry Pi GPIO / Raspberry Pi Zero - Haßler, Björn (Open Development & Education, 2023)
original-date: 2023-07-02T18:34:24Z KerkoCite.ItemAlsoKnownAs: 2129771:ESH93VPP 2129771:MTELHIJ6 4874017:UT3RFH6H 5072953:IPNLB2ZZ
Keywords: _z:class:countries; _z:class:themes

The importance of climate-friendly school buildings in Africa - Nambatya, Mauricia (2023)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10257528 ZenodoArchiveConcept: 10257527 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1039 2129771:RTMQSBV6 5072953:YQ4CAK73
Keywords: _r:AddedByMyEducationEvidence; _z:class:countries; _z:class:themes

Efficient and Accurate Peer-to-Peer Training of Machine Learning Based Home Thermal Models - Boubouh, Karim; Basmadjian, Robert; Ardakanian, Omid; Maurer, Alexandre; Guerraoui, Rachid (Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023)
KerkoCite.ItemAlsoKnownAs: 10.1145/3575813.3597453 5072953:EJDZF6J2 openalex: W4380885277
Keywords: _important; _z:class:countries; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10603 Demand Response in Smart Grids; oa:topic:T10998 Microchannel Heat Transfer and Cooling Technology; openalex:n:1; openalex:yes; selected_for:Predictive models for classroom conditions 2024

Pakistani Chemistry Teachers’ Understanding, Beliefs, and Teaching Practice About Climate Change - Gill, A. Malcolm; Ellis, Todd; Henderson, Charles (Journal of research in science, mathematics and technology education, 2023)
Teachers’ personal beliefs and understanding about science topics play a vital role in students learning. This is especially relevant for the teaching of climate change which is a scientifically complicated topic that can also be influenced by personal and political views. Semi-structured interviews were conducted with thirteen Pakistani chemistry teachers (grades 10 & 12) to understand their knowledge about the science of climate change as well as their beliefs and practices related to the teaching of climate change. We found that teachers believe it is important to teach climate change in schools. They report that they teach climate change with relevant topics and do not face any obstacles doing so. No consensus was found regarding the appropriate grade levels and disciplines in which climate change should be taught. We also found that teachers have insufficient scientific knowledge about climate change (e.g., they think that any change in environment is climate change and climate change is related to pollution and ozone layer depletion). Our results suggest that there is a need to include climate change in in-service refresher courses and preservice teacher training programs, so the teachers have better understanding of the science of climate change. Further, there should be more climate change content in high school chemistry and biology.
openalex: W4381800962
Keywords: C:Pakistan; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:sdg:13 Climate action; oa:topic:T10072 Enhancing Science Education through Inquiry and Argumentation; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T11488 Perceptions and Communication of Climate Change; openalex:import; openalex:yes

Building energy model calibration using a surrogate neural network - Herbinger, Florent; Vandenhof, Colin; Kummert, Michaël (Energy and Buildings, 2023)
Energy studies of buildings are becoming more widespread as stakeholders strive to improve energy efficiency and reduce carbon emissions. As a result, there is an increased need for novel numerical techniques to automatically calibrate building energy models (BEMs) for these energy studies. In this paper, a new automated building calibration methodology was developed, which uses a surrogate (i.e., meta) multilayer perceptron artificial neural network (ANN) to infer unknown building parameters. Typically, in the field of BEM calibration, surrogate models are used as a time-saving technique. Instead of running the building simulation software during each iteration of an optimization search, a surrogate model can approximate the output of the BEM very quickly, leading to much faster optimization of the unknown building parameters. However, we show that, once trained, the surrogate model itself can be used to find the unknown building parameters. Since the surrogate model is differentiable, gradient descent can be used to find the building parameters that minimize the error between true and predicted metered energy consumption. Previous surrogate modeling approaches for calibrating BEMs map only the unknown building parameters to the BEM’s output. As a result, they are blind to the effects of other crucial variables like weather and the building’s schedules. On the other hand, our surrogate ANN model accounts for these other predictors of energy consumption. With this advantage, our method was able to outperform a powerful black box optimizer when finding 14 unknown building parameter values in a controlled case study with hourly energy data. In a real metered data case study, our ANN method and the black box optimizer performed similarly on average, but our method had less variance in performance across trials.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2023.113057 5072953:5A7LQJ52 openalex: W4364374537
Keywords: Artificial neural network; Building energy model calibration; Building energy modeling; Emulators; Machine learning; Metamodeling; Surrogate modeling; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:energy model calibration; oa:keyword:surrogate neural network; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10848 Multiobjective Optimization in Evolutionary Algorithms; oa:topic:T11052 Electricity Price and Load Forecasting Methods; openalex:n:1; openalex:yes

School: a second home for the children - Warwocki, Pawel (2023)
An output of the Open Development & Education, https://opendeved.net/
ZenodoArchiveID: 10257503 ZenodoArchiveConcept: 10257502 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.1037 2129771:NW5NJAGB 5072953:DMUSFIEG
Keywords: _r:AddedByMyEducationEvidence; _z:class:countries; _z:class:themes

3D printed case for pico datalogger (rev1.00) - Haßler, Björn (Open Development & Education, 2023)
original-date: 2023-05-22T21:47:38Z KerkoCite.ItemAlsoKnownAs: 4874017:233BSSUN 5072953:PB4VBPAH
Keywords: _z:class:countries; _z:class:themes

Pico board for data-logging with power-management and micro-sd storage - Bablok, Bernhard; Haßler, Björn (Open Development & Education, 2023)
Pico board for data-logging with power-management and micro-sd storage
original-date: 2023-05-22T21:54:19Z KerkoCite.ItemAlsoKnownAs: 4874017:B3Y6NMI2 5072953:SKBI9Q4Y
Keywords: _z:class:countries; _z:class:themes

Pico Datalogger with Integrated Power-Management - Haßler, Björn; Bablok, Bernhard (Open Development & Education, 2023)
Pico board for data-logging with power-management and micro-sd storage
original-date: 2023-05-22T21:54:19Z KerkoCite.ItemAlsoKnownAs: 4874017:QY8LE6GK 5072953:X4MIRGWZ
Keywords: _z:class:countries; _z:class:themes

Climate change knowledge, attitude and perception of undergraduate students in Ghana - Ofori, Benjamin Y.; Ameade, Evans Paul Kwame; Ohemeng, Fidelia; Musah, Yahaya; Quartey, Jones K.; Owusu, Erasmus H. (PLOS Climate, 2023)
Anthropogenic climate change is a serious global environmental issue that threatens food and water security, energy production, and human health and wellbeing, ultimately jeopardizing the attainment of the UN Sustainable Development Goals (SDGs). A good understanding of climate change is essential for societies to adapt to or mitigate it. Yet, studies reveal that most people have limited knowledge, misconceptions and misunderstanding about climate change. Sub-Saharan Africa is projected to experience disproportionately higher adverse effects of climate change, but there is paucity of information about climate change knowledge in the region. Here, we assessed climate change knowledge, attitude and perception of undergraduate students in Ghana and the influential factors using a cross-sectional study and semi-structured questionnaire. The study population was full-time undergraduate students at the University of Ghana, Legon. The data was analyzed using descriptive statistics, logistic regressions, t-test and One-Way ANOVA. The results revealed that a strong majority of the respondents believe that climate change is real and largely human-induced, and they expressed concern about it. Yet, students lack basic knowledge and had some misconceptions about the causes and consequences of climate change. The overall knowledge score of the students on climate change was average (66.9%), although majority (92%) of the respondents claimed they had adequate (75–85%) knowledge of climate change. Our data also showed that respondents’ level of education, programme of study, ethnicity, religion and mother’s occupation had statistically significant association with their knowledge, perception and attitude on aspects of climate change. Our findings highlight knowledge gaps in climate change among undergraduate students in Ghana, underscoring the need to integrate climate change science into the education curricula at all levels of pre-tertiary schools and university for both the science and non-science programme.
openalex:W4379739985 mag: KerkoCite.ItemAlsoKnownAs: 10.1371/journal.pclm.0000215 5072953:2SJ36FBC
Keywords: C:Ghana; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:climate change knowledge; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T11488 Perceptions and Communication of Climate Change; oa:topic:T12503 Social Acceptance of Renewable Energy Innovation; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodology - Baba, Fuad Mutasim; Ge, Hua; Zmeureanu, Radu; Wang, Liangzhu (Building and Environment, 2023)
This paper aims to develop long-term adaptation strategies for the existing Canadian school buildings under extreme current and future climates using a developed methodology based on global and local sensitivity analysis and Multi-Objective Optimization Genetic Algorithm. The calibrated simulation model based on indoor and outdoor measured temperature for a school of interest is used to evaluate the optimization strategies. This paper aims to search for the optimum school building design under three simultaneous conflicting objective functions: (1) the minimization of overheating hours to less than 40 h as required by Building Bulletin BB101 building code by using passive mitigation measures, (2) the minimization of heating energy use to less than 15 kW/m2 according to passive house requirements and thus the reduction of greenhouse gas emissions, and (3) the minimization of artificial lighting energy use to less than the current lighting energy use by maximization of daylighting usage without exceeding acceptable glare index in classrooms. Ten building design variables are selected, which could generate approximately 300,000 solutions. The developed methodology reduced the numbers to 14,400 solutions and found seven Pareto solutions that comply with the three objectives and their constraints. High energy-efficient building envelope, appropriate window-wall ratio and window type, natural ventilation during the day, and night cooling can play a key role in achieving the objectives under current weather conditions. An additional cool roof and external overhang will be needed in the medium-term future climate, and an additional movable screen shading will be needed in the long-term future climate.
openalex: W4366767050
Keywords: _z:class:countries; _z:class:themes; evidence_review_2; oa:keyword:climate change adaptation; oa:sdg:13 Climate action; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10766 Urban Heat Islands and Mitigation Strategies; oa:topic:T11371 Urban Wind Environment and Air Quality Modeling; openalex:import; openalex:yes

Sensors OpenSCAD: An OpenSCAD library for common environmental sensors - Haßler, Björn (Open Development & Education, 2023)
original-date: 2023-05-29T22:31:22Z KerkoCite.ItemAlsoKnownAs: 4874017:GEW7P34M 5072953:F96VVYDV
Keywords: _z:class:countries; _z:class:themes

Sensor Sripboard (v1) - Haßler, Björn (Open Development & Education, 2023)
original-date: 2023-05-26T21:42:45Z KerkoCite.ItemAlsoKnownAs: 4874017:ZMRE5TTV 5072953:5Y4J246T
Keywords: _z:class:countries; _z:class:themes

A New Correlation for Single-Sided Natural Ventilation Rate Based on Full-Scale Experimental Study in Mogao Grottoes, Dunhuang, China - Zhang, Junjie; Yan, Zengfeng; Zhang, Zhengmo; Bi, Wenbei; Yao, Shanshan (Buildings, 2023)
Although research on the natural ventilation of single-sided buildings is progressing, research on the natural ventilation of the Mogao Grottoes, which have special shapes and structures, is relatively limited. The purpose of this paper is to develop a correlation for calculating the natural ventilation rates of such grottoes. Field experiments were carried out on two typical caves to measure their meteorological parameters and natural ventilation rates to verify the validity of the proposed correlation. The results show that our correlation has good reliability and stability when predicting the natural ventilation rates of the caves. First, the new correlation has a small average deviation of 16.35%. The average deviations in the natural ventilation rates predicted by seven established correlations are as low as 17.85% and as high as 59.39%, revealing a large gap compared with the correlation proposed herein. Second, the maximum deviation in the outputs of the proposed correlation is only 7.70% between each case. Finally, a comparison between the calculated results and the values measured in Cave 328 shows that the correlation is also suitable for large-volume caves. The developed correlation provides theoretical support and a scientific method for preventive protection and a quantitative analysis method for the study of natural ventilation in caves.
Keywords: _z:class:countries

How to build an IoT device with low-power sleep - Haßler, Björn (2023)
ZenodoArchiveID: 7881014 ZenodoArchiveConcept: 7881013 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.0289 2129771:3SCPTDDX 4874017:UW4EFIA6 4874017:XJ6UULLS 5072953:33JW9RSY 5072953:CEW5TSEB 5072953:X2WWYHJB
Keywords: _r:AddedByZotZen; _z:class:countries; _z:class:themes

Continuing Education for Climate Change: A Study of Australian Urban Planners’ Current Practices and Developing Competence - Hurlimann, Anna; Cobbinah, Patrick Brandful; Bush, Judy; Gaisie, Eric (Journal of Planning Education and Research, 2023)
Despite the critical need for urban planners to address climate change, there is a limited understanding of planning professionals’ perceptions of their climate change competency. This paper reports results from a survey of Australian urban planning professionals, identifying their perceived climate change knowledge, skills, competencies, and everyday practice. The urban planning professionals surveyed had high levels of perceived climate change knowledge, but only a small number incorporate climate change impacts into their professional work. They had limited access to information and tools needed for climate change planning in their practice. Areas for further competency development through continuing education are identified.
openalex: W4376118267
Keywords: C:Australia; _z:class:countries; _z:class:themes; oa:keyword:australian urban planners; oa:keyword:climate change; oa:sdg:13 Climate action; oa:topic:T10119 Sustainability Transitions and Resilience in Social-Ecological Systems; oa:topic:T12143 Understanding Human Connection to Places; openalex:import; openalex:yes

Dilated causal convolutional neural networks for forecasting zone airflow to estimate short-term energy consumption - Tully, Joseph; Haight, Ryan; Hutchinson, Brian; Huang, Sen; Lee, Joon-Yong; Katipamula, Srinivas (Energy and Buildings, 2023)
This paper investigates the use of dilated causal convolutional neural networks for fine-grained temporal forecasting of building zone states. Specifically, we build and evaluate models using a small set of exogenous features (e.g., external temperature) to autoregressively predict zone airflow setpoints every minute for a 24-h prediction window. We carefully explore the trade-off between generality and specificity in these models, training and evaluating them based on zone, zone type, month, season, and combinations thereof. When evaluated for a commercial office building in Eastern Washington with 16 zones served by variable air volume air handling units, we find that the highest performance comes from a zone-specific, season-agnostic approach; with it, we obtain an R2 of 0.704 (averaged over zones) and an average normalized root mean square error (nRMSE) of 0.111. In contrast, the most general model (trained across all zones and seasons) yields an R2 of only 0.416 and a nRMSE of 0.168, while a baseline zone-specific reduced order model obtains 0.443 R2 and 0.159 nRMSE. We also report on factors affecting airflow forecasting performance, on the ability of models trained on a specific zone to generalize to other zones, and on the capability of those models trained on a specific month to generalize to other months.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2023.112890 5072953:QY4E8D3C openalex: W4321073092
Keywords: Airflow setpoint; C:Mali; Deep learning; Dilated causal convolution; Neural networks; Time series forecasting; Transactive control and coordination; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:causal convolutional neural networks; oa:keyword:forecasting zone airflow; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T11052 Electricity Price and Load Forecasting Methods; oa:topic:T12120 Low-Cost Air Quality Monitoring Systems; openalex:n:1; openalex:yes

Planting seeds of change: the Tanzanian students and teachers taking climate action into their own hands - Keevill, Kerensa (Aga Khan Foundation UK, 2023)
KerkoCite.ItemAlsoKnownAs: 2129771:M8HN6LGJ 2129771:M8HN6LGJ 2129771:M8HN6LGJ 2129771:M8HN6LGJ 4874017:3F5P67FP 5072953:8C4ANKFE
Keywords: C:Tanzania; _z:class:countries; _z:class:themes; evidence_review_2

Perception and Knowledge of Algerian Students about Climate Change and Its Putative Relationship with the COVID-19 Pandemic: A Preliminary Cross-Sectional Survey - Lounis, Mohamed; Madani, Azzeddine; Boutebal, Saad Eddine (Climate, 2023)
Background: Climate changes (CC) is one of the most important insidious crises affecting all countries in the world in the 21st century, including Algeria, and it is projected to affect many people in the future. Mitigation of the effects of this phenomenon will certainly involve environmental education, especially among university students. Therefore, evaluating their level of knowledge could help us understand to what extent they are prepared to contribute in the global efforts to fight against this catastrophe. Objective: The current study aims to investigate the perception and knowledge of Algerian students about climate change and its potential relationship with the COVID-19 pandemic. Methods: An online cross-sectional survey was conducted on a sample of 204 Algerian students by adopting snowball sampling during the academic year (2022/2023), with a questionnaire based on Google Forms. Data were analyzed using SPSS software. Results: The results obtained showed that 95.6% of the students asked had heard about this phenomenon and more than 90% perceived that it was really happening. The level of knowledge is significantly associated with age, where students aged between 20 and 30 years old had a lower level of knowledge than those over 30 years old (OR = 0.22, p = 0.027). Furthermore, students of the Humanities have shown the lowest level of knowledge compared to those of other domains. Regarding their attitude, only 31.8% of the asked students declared that they changed their attitude positively during the COVID-19 pandemic. The change in attitude and concern is statistically associated neither with the level of knowledge and perception nor COVID-19 affection, psychological impact, and uptake of the COVID-19 vaccine. Conclusion: The study concluded that there was a high level of awareness and a medium level of knowledge about CC among Algerian university students. However, most of them were either very worried or a little worried about this phenomenon. It was also suggested that the average level of knowledge about cause and effect and pandemic resistance could be attributed to the scientific study path of students from the study sample. The results of this study could be used as a baseline for future research into CC knowledge and perception in Algeria.
openalex:W4366598792 mag: KerkoCite.ItemAlsoKnownAs: 10.3390/cli11040090 5072953:XEJ6NSFN
Keywords: C:Algeria; _z:class:countries; _z:class:themes; oa:keyword:algerian students; oa:keyword:climate change; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T11244 Impact of Climate Change on Human Health; oa:topic:T11488 Perceptions and Communication of Climate Change; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Knowledge, perception, and practices regarding climate change among students of Al-Azhar University for Girls in Cairo, Egypt - Elsharkawy, Safaa Abdelfattah; Elsheikh, Asmaa Abdelghany; Refaat, Laila Abdel Raheem (Journal of Public Health, 2023)
Abstract Aim To assess knowledge, perception, and practices regarding climate change (CC) among university students and to investigate the relationships between knowledge levels and reported practices in response to CC. Subject and methods A cross-sectional study was conducted among 768 undergraduate students from the practical and theoretical faculties of Al-Azhar University for Girls in Cairo. Results Most (82.6%) students had heard the term CC and believed it affected their communities. Approximately 57.8% of the students possessed good knowledge about the causes and impacts of CC. The utilization of renewable energy sources, reduction of industrial pollution, and proper waste disposal were mentioned by over 90% of the students as measures to cope with CC. The most popular practices among participants were using energy-efficient lightbulbs (89.2%), short distance walking rather than riding (65.4%), and using public transportation rather than private cars (65%). There were significant positive relationships between the students’ knowledge and practice of environmentally friendly actions. In addition, participants’ residence, faculty, and information sources were significantly related to their knowledge. Conclusions Most of the university students were aware of CC and strongly agreed with the general mitigation measures, but they had insufficient knowledge and inadequate practices. CC education focusing on its causes and explaining its relationship with daily activities is highly recommended for youth so that they can adopt climate-friendly practices.
openalex:W4365150252 mag: KerkoCite.ItemAlsoKnownAs: 10.1007/s10389-023-01901-9 5072953:VVMCV7C4
Keywords: C:Egypt; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T11488 Perceptions and Communication of Climate Change; oa:topic:T12503 Social Acceptance of Renewable Energy Innovation; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

DARE: Distill and Reinforce Ensemble Neural Networks for Climate-Domain Processing - Xiang, Kun; Fujii, Akihiro (Entropy, 2023)
Natural-language processing is well positioned to help stakeholders study the dynamics of ambiguous Climate Change-related (CC) information. Recently, deep neural networks have achieved good results on a variety of NLP tasks depending on high-quality training data and complex and exquisite frameworks. This raises two dilemmas: (1) the networks are highly reliant on powerful hardware devices and processing is time-consuming, which is not only inconducive to execution on edge devices but also leads to resource consumption. (2) Obtaining large-scale effective annotated data is difficult and laborious, especially when it comes to a special domain such as CC. In this paper, we propose a CC-domain-adapted BERT distillation and reinforcement ensemble (DARE) model for tackling the problems above. Specifically, we propose a novel data-augmentation strategy which is a Generator-Reinforced Selector collaboration network for countering the dilemma of CC-related data scarcity. Extensive experimental results demonstrate that our proposed method outperforms baselines with a maximum of 26.83% on SoTA and 50.65× inference time speed-up. Furthermore, as a remedy for the lack of CC-related analysis in the NLP community, we also provide some interpretable conclusions for this global concern.
openalex: W4365146569
Keywords: _z:class:countries; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

The effect of classroom environment on literacy development - Rance, Gary; Dowell, Richard C.; Tomlin, Dani (npj Science of Learning, 2023)
The physical characteristics of a child’s learning environment can affect health, wellbeing and educational progress. Here we investigate the effect of classroom setting on academic progress in 7–10-year-old students comparing reading development in “open-plan” (multiple class groups located within one physical space) and “enclosed-plan” (one class group per space) environments. All learning conditions (class group, teaching personnel, etc.) were held constant throughout, while physical environment was alternated term-by-term using a portable, sound-treated dividing wall. One hundred and ninety-six students underwent academic, cognitive and auditory assessment at baseline and 146 of these were available for repeat assessment at the completion of 3 school terms, allowing within-child changes across an academic year to be calculated. Reading fluency development (change in words read-per-minute) was greater for the enclosed-classroom phases (P < 0.001; 95%CI 3.7, 10.0) and the children who showed the greatest condition difference (i.e. slower rate of development in the open-plan) were those with the worst speech perception in noise and/or poorest attention skills. These findings highlight the important role classroom setting plays in the academic development of young students.
KerkoCite.ItemAlsoKnownAs: 10.1038/s41539-023-00157-y 2129771:VSJF6CNU 4874017:K96RFSZZ
Keywords: Education; Human behaviour; evidence_review

Digital twin with Machine learning for predictive monitoring of CO2 equivalent from existing buildings - Arsiwala, Arva; Elghaish, Faris; Zoher, Mohammed (Energy and Buildings, 2023)
The revolution of the industry 4.0 presents a new era of digital transformation for the construction industry, advancing towards the concept of digital twins, while on the other hand it faces the global challenge of reducing carbon emissions from operational assets. The current research gap in the application of digital twins for achieving net zero were reviewed in this study, highlighting its potentials for enhancement in the built environment, and emphasizing the need for demonstration of a use-case analysis for its adoption by the industry. This research presents a digital twin solution to automate the monitoring and controlling of equivalent carbon dioxide (eCO2) emissions from existing assets through the integration of IoT, BIM, and artificial intelligence across a comprehensive solution, further validating its workability through a real-life use case analysis. The study revealed the significance of BIM and IoT, as essential components of a digital twin to visualise critical spatial information for enhanced facility management specifically for monitoring of indoor air quality of spaces, while also coalescing an AI-supported system to predict carbon emissions from the collected data through integration of machine learning features across the digital twin. The output of the entire solution is displayed as an interactive dashboard for observing trends and patterns, enabling stakeholders to implement effective data-driven retrofitting strategies. This research is a fundamental initiation for implementing digital twins to monitor emissions from existing assets, a step towards achieving the net zero targets.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2023.112851 5072953:6WX2IENS openalex: W4319967909
Keywords: Artificial Intelligence (AI); BIM; Big Data (BD); Carbon emission; Digital Twin; Internet of things (IoT); Net zero; Sustainability; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:co2; oa:sdg:9 Industry; innovation and infrastructure; oa:topic:T10763 Industry 4.0 and Digital Transformation in Manufacturing; oa:topic:T11006 Building Information Modeling in Construction Industry; oa:topic:T11211 3D Geospatial Modelling Techniques; openalex:n:1; openalex:yes

Children's exposure to indoor and outdoor black carbon and particulate matter air pollution at school in Rwanda, Central-East Africa - Kalisa, Egide; Kuuire, Vincent; Adams, Matthew (Environmental Advances, 2023)
Schoolchildren are a high-risk population, and their exposure to air pollution at school has been documented in high-income countries. As a result, school siting policies to protect children from air pollution have been established in those countries. Such policies are, however, non-existent in Africa where the air pollution problem is growing and gravely under-studied due to the lack of funding to install reliable ground-level monitoring networks and lack of air quality standards. The present study, the first of its kind to be conducted in Africa, measured Black Carbon (BC) and its related sources: fossil fuels (BCff) and biomass burning (BCbb). BC and fine particles (PM2.5) were measured simultaneously indoors and outdoors at schools over a 12-month period in Rwanda. The annual concentrations of BC in classrooms (8.15 µg/m3) and outdoor schoolyards (9.22 µg/m3) were higher than simultaneous concentrations recorded at Kigali urban background site (7.78 μg m3). The annual mean PM2.5 concentrations in classrooms and outdoor school were more than eight times higher than the World Health Organization's safe limits. The results demonstrated a more than two-fold increase in the concentrations of BCff during drop-off hours compared to off-peak hours, indicating the dominant contribution of vehicles queuing on the school premises. However, higher indoor than outdoor BC levels were recorded in some instances, 2 hours after an outdoor peak during drop-off times. The exposure peaks inside the classrooms were more pronounced for BC than PM2.5.The highest reduction of 24% and 19% were observed for BCff during weekends and school holidays in classrooms compared to regular days. No reduction was observed for BCbb concentrations. This study shows that BC and PM2.5 levels are considerably higher in schoolyards, and that further investigation of air pollution exposure at schools is warranted in Africa to promote improved drop-off/pick-up behaviors at and around school environments.
KerkoCite.ItemAlsoKnownAs: 2129771:6KYKJ43E 2129771:6KYKJ43E 2129771:6KYKJ43E 2129771:6KYKJ43E 10.1016/j.envadv.2022.100334 4874017:NF94Y9M4 5072953:HUMVFJAG openalex: W4313530581
Keywords: Africa; C:Rwanda; Drop-off and pick up times; Indoor and outdoor air pollution; School air pollution; _z:class:countries; _z:class:themes; evidence_review_2; oa:keyword:particulate matter air pollution; oa:topic:T10190 Health Effects of Air Pollution; oa:topic:T11336 Indoor Air Pollution in Developing Countries; oa:topic:T12120 Low-Cost Air Quality Monitoring Systems; openalex:n:1; openalex:yes

Topic modelling the mobility response to heat and drought - Zander, Kerstin K.; Baggen, Hunter S.; Garnett, Stephen T. (Climatic Change, 2023)
Abstract We conducted a systematic literature review of peer-reviewed full text articles on the nexus between human mobility and drought or heat published between 2001 and 2021, inclusive. We identified 387 relevant articles, all of which were analysed descriptively using a dictionary-based approach and by using an unsupervised machine learning–based Latent Dirichlet Allocation (LDA) model. Most articles were in response to droughts (71%), but heat and extreme temperature became more prominent after 2015. The drought-related literature focuses geographically on African and Southern Asian countries, while heat-related research has mainly been conducted in developed countries (mostly in the USA and Australia). For both hazards, European countries are under-represented. The LDA model identified 46 topics which were clustered into five major themes. One cluster (14% of all articles) included literature on heat-related mobility, mostly data-driven models, including amenity migration. The other four clusters included literature on drought, primarily on farming societies and the agricultural sector with three of those clusters making up 63% of all articles, with the common overarching focus on climate migration and food security. One of the four drought clusters focused on social dysfunction in relation to droughts. A sentiment analysis showed articles focusing on voluntary mobility as part of adaptation to drought and heat were more positive than articles focusing on migration triggered by droughts and heat. Based on the topics and the article characterisation, we identified various research gaps, including migration in relation to urban droughts, heat in farming societies and in urban societies of developing countries, planned retreat from hot to cooler places, and the inability or barriers to doing so. More research is also needed to understand the compound effect of drought and heat, and the social and psychological processes that lead to a mobility decision.
openalex: W4362608060
Keywords: _z:class:countries; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

International Society of Physical Medicine and Rehabilitation position statement on climate change and disability - Alexander, Marcalee; Gosney, Jim; O’Connell, Colleen; Khan, Fary; Laíns, Jorge (Journal of the International Society of Physical and Rehabilitation Medicine, 2023)
Climate change is the greatest public health threat of the 21st century. Moreover, people with the lived experience of disabilities, a population physiatrists commonly treat, are among the most vulnerable to acute disasters such as floods and wildfires and excessive heat. In this position statement, we recommend actions that physiatrists and rehabilitation professionals should take at micro, meso, and macro levels to assist in mitigation and adaptation to the effects of climate change on the world.
openalex: W4361836005
Keywords: _z:class:countries; openalex:import; openalex:yes

How Teacher’s Climate Change Belief Influences Classroom Management Practices for Students’ Climate Change Awareness In Nigerian Schools - Igu, Ntasiobi C. N.; Anochiwa, Roseline; Ogba, Francisca; Nwinyinya, Emeka; Eze, Beatrice A; Ogar, Joseph; Obih, Solomon; Ugbogu, Chikwendu (Polish Journal of Environmental Studies, 2023)
openalex:W4361298819 KerkoCite.ItemAlsoKnownAs: 10.15244/pjoes/159429 5072953:INHAMZNK
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:climate change awareness; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

A systematic review of ambient heat and sleep in a warming climate - Chevance, Guillaume; Minor, Kelton; Vielma, Constanza; Campi, Emmanuel; O’Callaghan-Gordo, Cristina; Basagaña, Xavier; Ballester, Joan; Bernard, Paquito (medRxiv (Cold Spring Harbor Laboratory), 2023)
Abstract Background Earlier reviews documented the effects of a broad range of climate change outcomes on sleep but have not yet evaluated the effect of ambient temperature. This systematic review aims to identify and summarize the literature on ambient temperature and sleep outcomes in a warming world. Methods For this systematic review, we searched online databases (PubMed, Scopus, JSTOR, GreenFILE, GeoRef and PsycARTICLES) together with relevant journals for studies published before February 2023. We included articles reporting associations between objective indicators of ambient temperature and valid sleep outcomes measured in real-life environments. We included studies conducted among adults, adolescents, and children. A narrative synthesis of the literature was then performed. Findings The present systematic review shows that higher outdoor or indoor ambient temperatures, expressed either as daily mean or night-time temperature, are negatively associated with sleep quality and quantity worldwide. The negative effect of higher ambient temperatures on sleep is stronger in the warmest months of the year, among vulnerable populations and in the warmest areas of the world. This result appears consistent across several sleep indicators and measures. Interpretation Although this work identified several methodological limitations of the extant literature, a strong body of evidence from both this systematic review and previous experimental studies converge on the negative impact of elevated temperatures on sleep quality and quantity. In absence of solid evidence on fast adaptation to the effects of heat on sleep, rising temperatures induced by climate change pose a planetary threat to human sleep and therefore human health, performance and wellbeing.
openalex: W4361213721
Keywords: _z:class:countries; evidence_review; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

(Adapting to the) Impacts of climate (change): Temperature, Light, Sound, Air - Haßler, Björn (OpenDevEd, 2023)
ZenodoArchiveID: 7823061 ZenodoArchiveConcept: 7823060 KerkoCite.ItemAlsoKnownAs: 10.53832/opendeved.0287 2129771:CQKQ898B 4874017:XNCB6KR8 5072953:IDMZ2T5A 5072953:WN2QRCCG
Keywords: _r:AddedByZotZen; _z:class:countries; _z:class:themes; ⚠️ Invalid DOI

Comparative Analysis of Comfort Temperature of School Children and Their Teachers - Munonye, Charles; Ngobili, Michael; Umeora, Chukwunonso; Oluchi, Ifebi; Maduka, Nkechi; Onwuzuligbo, Chijioke (Research & Development, 2023)
Thermal comfort in learning environments influences the student’s focus and learning productivity. This study aims to evaluate and compare the adaptive thermal comfort of schoolchildren and their teachers in naturally ventilated primary schools in some selected cities in Imo State Nigeria. To achieve these objectives, the study analyzed the data collected from 330 pupils and 44 teachers in six surveyed classrooms in two types of classroom buildings. The recorded data in the surveyed classrooms consisted of four environmental factors and two personal factors. At the same time, the subjects filled out the questionnaires asking them about thermal sensation and thermal preferences against the classrooms’ thermal requirements. The results of the measurements showed that the indoor mean air temperature, relative humidity, and air velocity were 29.1°C, 71.2%, and 0.19m/s, respectively. The mean thermal sensation votes of the children were +0.16 while that of their teachers was +0.58. The preferred temperatures were 27.4°C and 29.4°C for the schoolchildren and the teachers, respectively. Furthermore, the comfort range of the students was between 25.8°C - 31.6°C, and that of the teachers was between 28.0°C - 29.9°C. Based on the results of this study conducted in primary school buildings located in warm and humid climates, the thermal comfort perception of children and adults differ. This information will serve as a guide to professionals in the built environment, especially architects when designing primary school buildings in the warm and humid climates.
openalex: W4380897799 KerkoCite.ItemAlsoKnownAs: 2129771:J9TERRN6 2129771:J9TERRN6 10.11648/j.rd.20230401.15 5072953:FP8NL8Q5 5072953:ZFR6WRQW
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; evidence_review_2; oa:keyword:comfort temperature; oa:sdg:13 Climate action; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; openalex:n:1; openalex:yes

Visual Comfort and Discomfort in public boarding secondary Schools in Nairobi City County, Kenya - Magero, Cynthia Vugudza; Nyamari, Jackim; Mutisya, Redempta (East African Journal of Health and Science, 2023)
Indoor light quality is the intensity and amount of illumination of interior spaces. Technological developments have led to the utilisation of artificial natural light. Illumination is crucial in the visibility of tasks. Quality of light can influence the visual comfort and ocular health of the students. Although Kenya lacks lighting standards for schools, ISO and CIE provide international guidelines on optimal illumination for various facilities. This study was conducted on public boarding secondary schools in Nairobi City County to assess the visual comfort or discomfort of students in classrooms. The study utilised a cross-sectional descriptive study design. Four hundred twenty-three students were randomly sampled from 8 schools. Illumination levels were measured in 38 classrooms using a calibrated Benetech GM1010 light metre and compared to levels recommended by ISO and CIE. A self-administered semi-structured questionnaire was used to collect data on students’ visual comfort or discomfort. Data was analysed using SPSS version 23. Descriptive data were analysed using frequencies, while inferential data were analysed using chi-square. The study established that 15% of the respondents experience visual comfort during the day, 13.5% at night, and 12.7% both day and night. Fourteen classrooms achieved the recommended illumination level at 7:30, 20 at 13:00 hours, and 10 at 18:00 hours. Recorded levels ranged from 56.71 lux to 1289.93 lux. The study found a statistically significant association between visual comfort and factors such as existing eye problems, presence of blinds or curtains, number of windows, presence of whiteboards, classroom orientation and student sitting positions. The study recommends that public secondary schools need to ensure quality indoor illumination in their facilities to enhance the visual comfort of students in learning facilities.
Number: 1 KerkoCite.ItemAlsoKnownAs: 2129771:TE2WX7X5 2129771:TE2WX7X5 2129771:TE2WX7X5 2129771:TE2WX7X5 10.37284/eajhs.6.1.1123 4874017:9V2UUXLE 5072953:K8N7Z4IX openalex: W4323569394
Keywords: C:Kenya; Environmental Factors; Indoor Illumination; Indoor Lighting in Schools; Visual Comfort; _z:class:countries; _z:class:themes; evidence_review_2; oa:keyword:public boarding secondary schools; oa:sdg:11 Sustainable cities and communities; oa:topic:T11963 Impact of Nighttime Light Data on Various Fields; oa:topic:T12950 Learning Environments in Education; openalex:n:1; openalex:yes

Considerations for relational research methods for use in Indigenous contexts: implications for sustainable development - Mbah, Marcellus F.; Bailey, Megan; Shingruf, Ayesha (International Journal of Social Research Methodology, 2023)
KerkoCite.ItemAlsoKnownAs: 10.1080/13645579.2023.2185345 5072953:A9C83KA6 openalex: W4323314977
Keywords: _z:class:countries; _z:class:themes; oa:keyword:indigenous contexts; oa:keyword:relational research methods; oa:topic:T10348 Indigenous Health Disparities and Decolonization; oa:topic:T11944 Participatory Visual Research Methods in Social Science; oa:topic:T12196 Empowerment and Collaboration in Community Health; openalex:n:1; openalex:yes

Assessment of Climate Change Awareness among Secondary School Teachers in Ebonyi State, Nigeria (Journal of Education and Practice, 2023)
Climate change is an area that is currently in dire need of a wide range of publicity especially among teachers in secondary schools. This is because teachers’ awareness of Climate Change may result to multiplier effects where families and communities benefit when students share what they have learned especially in relation to causes, adaptation and mitigation. The study was therefore carried out to assess the extent of climate change awareness among secondary school teachers in Ebonyi State. The researcher employed survey design for the stud. Three research questions and three null hypotheses guided the study. A 24 item self made questionnaire titled ““Climate Change Awareness Questionnaire” (CCAQ) were administered to a sample of 300 teachers from eight secondary schools from communities with visible impacts of climate change in Ebonyi State. The researcher employed purposive and random sampling methods in drawing the sample. Mean ( ) score was used to answer the research questions while t-test of difference between two means of independent samples was used to analyze the hypotheses. The findings revealed that the extent of awareness on the causes, impacts and adaptation/mitigation strategies of climate change among the secondary school teachers in Ebonyi State is very little. Based on the findings, the researcher recommended mainstreaming climate change throughout secondary education system in Ebonyi State among others. Keywords: Climate change, awareness, teachers, students, Ebonyi State, School Administration DOI: 10.7176/JEP/14-8-01 Publication date: March 31 st 2023
openalex:W4362512459 KerkoCite.ItemAlsoKnownAs: 10.7176/jep/14-8-01 5072953:HR54FHIG
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:climate change awareness; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; openalex:import; openalex:n:1; openalex:yes

Climate change and disability: a physical medicine and rehabilitation (PM&R) perspective - Amatya, Bhasker; Khan, Fary (Journal of the International Society of Physical and Rehabilitation Medicine, 2023)
Climate change phenomena, such as droughts, floods, heat waves, hurricanes, and wildfires, have a deleterious effect on nature and the health of the people, especially on vulnerable population cohorts, such as persons with disabilities (PwD). PwD are disproportionately affected by the health effects of climate change and experience a greater burden due to various physiological, socio-economic and health-related factors. Rehabilitation professionals as trusted care providers/educators have an integral role in global efforts to educate, advocate and protect vulnerable people from the adverse impact of climate change. They are in a distinctive position as they are experts in understanding the complex medical, physiological and psychosocial needs of PwD. Although the impact of climate change on health is widely documented, the literature on the effect of climatic factors on PwD is sparse. Further, specific rehabilitation and disability-inclusive climate action plans are yet to be developed and/or implemented globally. As the climate-change-related health burdens continue to grow the critical importance of rehabilitation services is apparent. The challenge ahead is to build a structured people-centered approach to building rehabilitation-inclusive climate-resilient health systems to improve the adaptive capacity and resilience of the most susceptible people with distinct healthcare needs.
openalex: W4361836010
Keywords: _z:class:countries; openalex:import; openalex:yes

Evaluation of projected soil organic carbon stocks under future climate and land cover changes in South Africa using a deep learning approach - Odebiri, Omosalewa; Mutanga, Onisimo; Odindi, John; Naicker, Rowan; Slotow, Rob; Mngadi, Mthembeni (Journal of Environmental Management, 2023)
Environmental degradation and carbon emissions have become a major global concern. This has forced policymakers to consider strategic and long-term contingencies to increase carbon sequestration capacity and mitigate the effects of climate change. Soil organic carbon (SOC) provides a reliable long-lasting mechanism to ameliorate climate change and regulate carbon fluxes. However, unanticipated rates of climate change coupled with the dynamic nature of land-use transformation threatens current mitigation approaches and can jeopardise carbon stock assimilation. To effectively manage and protect SOC stocks, large-scale projections that accurately model both current and future SOC pools are necessary. Hence, this study modelled the effects of simulated climate and land-cover change on SOC inventories across South Africa up to the year 2050. A digital soil mapping strategy in concert with a deep neural network (DNN) was used to model current SOC stocks distribution. Subsequently, WorldClim general circulation models and a space-for-time substitution (SFTS) method were used to derive future SOC stocks under four shared socio-economic emission pathways. Results show a relatively high accuracy with RMSE of 7.44 t/h for current stocks, while future stocks ranged from 11.37 to 13.56 t/h. Depending on emission rates, results showed a reduction in SOC inventories, with overall SOC stocks declining from 5.64 Pg to between 4.97 and 5.38 Pg by 2050. Meanwhile, forests, which account for approximately 1.2 Pg of total SOC in South Africa, were found to have lost more than 1% of their total coverage by 2050. These findings provide a glimpse into the state of South Africa's current and future SOC stock inventories and the influence of climate and land-use change. These findings are valuable to among others policymakers, land use managers and climate change experts in assessing the long-term feasibility of South Africa's existing SOC management protocols and land-use planning agenda. However, to adequately protect future SOC stocks, current land-use planning frameworks need to be re-adjusted to prioritize pressing environmental concerns.
openalex:W4313731734 mag: KerkoCite.ItemAlsoKnownAs: 10.1016/j.jenvman.2022.117127 5072953:H4V9M8QQ
Keywords: C:South Africa; _z:class:countries; _z:class:themes; _z:no_pdf; oa:sdg:13 Climate action; oa:topic:T10004 Soil Carbon Dynamics and Nutrient Cycling in Ecosystems; oa:topic:T10770 Digital Soil Mapping Techniques; oa:topic:T12467 Rangeland Degradation and Pastoral Livelihoods; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Design and Experiments of a Naturally-Ventilated Radiation Shield for Ground Temperature Measurement - Liu, Qingquan; Jin, Wei; Yang, Jie; Zhu, Huanan; Dai, Wei (Atmosphere, 2023)
Temperature sensors may produce a measurement error of up to 1 °C because of the influence of solar radiation. In order to obtain a relatively minimal temperature error, a new temperature observation system was proposed in this paper for measuring surface air temperatures. Firstly, a radiation shield was designed with two aluminum plates, eight vents, and a multi-layer structure which is able to resist direct solar radiation, reflected radiation, and upwelling long-ware radiation, as well as ensuring the temperature sensor probe could work effectively. Then, the effect of different solar radiation intensities, wind speeds, scattered radiation intensities, long-wave radiation intensities, and underlying surface reflectivity levels on radiation error was calculated through a computational fluid dynamics (CFD) method. The mapping relationship was established between the various influencing factors and the solar radiation error. A back-propagation (BP) network algorithm was used to fit the discrete data obtained from the simulation to obtain the solar radiation error correction equation. Finally, the solar radiation error correction equation was verified. Outdoor experiments were conducted to confirm this system’s measurement accuracy. According to the experimental findings, the root-mean-square error was only 0.095 °C, which is a relatively high degree by which to reduce the temperature error. In addition, the average difference between the corrected value of the temperature observation system and the reference value was barely 0.084 °C.
Number: 3 openalex: W4323663661
Keywords: _z:class:countries; computational fluid dynamics; naturally-ventilated radiation shield; neural network; oa:keyword:ground temperature measurement; oa:keyword:radiation shield; oa:sdg:7 Affordable and clean energy; oa:topic:T10466 Numerical Weather Prediction Models; oa:topic:T10766 Urban Heat Islands and Mitigation Strategies; oa:topic:T12019 Radiometric Calibration and Performance Monitoring; openalex:n:1; openalex:yes; radiation error; temperature sensor

Comparative Analysis of Comfort Temperature of School Children and Their Teachers - Munonye, Charles; Ngobili, Michael; Umeora, Chukwunonso; Oluchi, Ifebi; Maduka, Nkechi; Onwuzuligbo, Chijioke (Research & Development, 2023)
Thermal comfort in learning environments influences the student’s focus and learning productivity. This study aims to evaluate and compare the adaptive thermal comfort of schoolchildren and their teachers in naturally ventilated primary schools in some selected cities in Imo State Nigeria. To achieve these objectives, the study analyzed the data collected from 330 pupils and 44 teachers in six surveyed classrooms in two types of classroom buildings. The recorded data in the surveyed classrooms consisted of four environmental factors and two personal factors. At the same time, the subjects filled out the questionnaires asking them about thermal sensation and thermal preferences against the classrooms’ thermal requirements. The results of the measurements showed that the indoor mean air temperature, relative humidity, and air velocity were 29.1°C, 71.2%, and 0.19m/s, respectively. The mean thermal sensation votes of the children were +0.16 while that of their teachers was +0.58. The preferred temperatures were 27.4°C and 29.4°C for the schoolchildren and the teachers, respectively. Furthermore, the comfort range of the students was between 25.8°C - 31.6°C, and that of the teachers was between 28.0°C - 29.9°C. Based on the results of this study conducted in primary school buildings located in warm and humid climates, the thermal comfort perception of children and adults differ. This information will serve as a guide to professionals in the built environment, especially architects when designing primary school buildings in the warm and humid climates.
Number: 1 KerkoCite.ItemAlsoKnownAs: 10.11648/j.rd.20230401.15 2129771:8S89IW2F 4874017:RQ3YAIN6
Keywords: evidence_review

Understanding the complex dynamics of climate change in south-west Australia using Machine Learning - Yadav, Alka; Das, Sourish; Bakar, K Shuvo; Chakraborti, Anirban (2023)
The Standardized Precipitation Index (SPI) is used to indicate the meteorological drought situation - a negative (or positive) value of SPI would imply a dry (or wet) condition in a region over a period. The climate system is an excellent example of a complex system since there is an interplay and inter-relation of several climate variables. It is not always easy to identify the factors that may influence the SPI, or their inter-relations (including feedback loops). Here, we aim to study the complex dynamics that SPI has with the SST, NINO 3.4 and Indian Ocean Dipole (IOD), using a machine learning approach. Our findings are: (i) IOD was negatively correlated to SPI till 2008; (ii) until 2004, SST was negatively correlated with SPI; (iii) from 2005 to 2014, the SST had swung between negative and positive correlations; (iv) since 2014, we observed that the regression coefficient ($\delta$) corresponding to SST has always been positive; (v) the SST has an upward trend, and the positive upward trend of $\delta$ implied that SPI has been positively correlated with SST in recent years; and finally, (vi) the current value of SPI has a significant positive correlation with a past SPI value with a periodicity of about 7.5 years. Examining the complex dynamics, we used a statistical machine learning approach to construct an inferential network of these climate variables, which revealed that SST and NINO 3.4 directly couples with SPI, whereas IOD indirectly couples with SPI through SST and NINO 3.4. The system also indicated that Nino 3.4 has a significant negative effect on SPI. Interestingly, there seems to be a structural change in the complex dynamics of the four climate variables, some time in 2008. Though a simple 12-month moving average of SPI has a negative trend towards drought, the complex dynamics of SPI with other climate variables indicate a wet season for western Australia.
openalex: W4321650125
Keywords: C:Australia; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:sdg:13 Climate action; oa:topic:T10029 Climate Change and Variability Research; oa:topic:T13650 Scientific Computing and Data Analysis with Python; oa:topic:T14329 Climate Change and Environmental Science; openalex:import; openalex:yes

Understanding the complex dynamics of climate change in south-west Australia using Machine Learning - Yadav, Alka; Das, Sourish; Bakar, K Shuvo; Chakraborti, Anirban (2023)
The Standardized Precipitation Index (SPI) is used to indicate the meteorological drought situation - a negative (or positive) value of SPI would imply a dry (or wet) condition in a region over a period. The climate system is an excellent example of a complex system since there is an interplay and inter-relation of several climate variables. It is not always easy to identify the factors that may influence the SPI, or their inter-relations (including feedback loops). Here, we aim to study the complex dynamics that SPI has with the SST, NINO 3.4 and Indian Ocean Dipole (IOD), using a machine learning approach. Our findings are: (i) IOD was negatively correlated to SPI till 2008; (ii) until 2004, SST was negatively correlated with SPI; (iii) from 2005 to 2014, the SST had swung between negative and positive correlations; (iv) since 2014, we observed that the regression coefficient ($\delta$) corresponding to SST has always been positive; (v) the SST has an upward trend, and the positive upward trend of $\delta$ implied that SPI has been positively correlated with SST in recent years; and finally, (vi) the current value of SPI has a significant positive correlation with a past SPI value with a periodicity of about 7.5 years. Examining the complex dynamics, we used a statistical machine learning approach to construct an inferential network of these climate variables, which revealed that SST and NINO 3.4 directly couples with SPI, whereas IOD indirectly couples with SPI through SST and NINO 3.4. The system also indicated that Nino 3.4 has a significant negative effect on SPI. Interestingly, there seems to be a structural change in the complex dynamics of the four climate variables, some time in 2008. Though a simple 12-month moving average of SPI has a negative trend towards drought, the complex dynamics of SPI with other climate variables indicate a wet season for western Australia.
openalex: W4321650125
Keywords: C:Australia; C:India; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:sdg:13 Climate action; oa:topic:T10029 Climate Change and Variability Research; oa:topic:T13650 Scientific Computing and Data Analysis with Python; oa:topic:T14329 Climate Change and Environmental Science; openalex:import; openalex:yes

How Endogenous Cultural Institutions May (Not) Shape Farmers’ Climate Adaptation Practices: Learning from Rural Cameroon - Kimengsi, Jude Ndzifon; Silberberger, Magdalene (Society & Natural Resources, 2023)
Climate change is high on the science and policy agenda of sub-Saharan Africa (SSA), requiring context-specific adaptation. Studies on endogenous cultural institutions (ECIs) in climate adaptation are fragmented, impeding policy orientation. This suggests the need for complementary evidence on ECIs to inform adaptation practice. Through a sample of 158 households in rural Cameroon, we contribute to bridge this gap, by: (1) exploring socio-political factors shaping peasant farmers’ compliance with agro-based ECIs, and (2) estimating the effect of ECI compliance on farmers’ adaptation practices. Our estimation revealed the following: While political factors do not sufficiently explain compliance, state influence, mirrored through the application of formal rules negatively affects ECI compliance. Traditional rain forecast significantly explains climate adaptation; however, the pouring of libation does not. The age of peasant farmers also positively affects compliance with ECIs. We conclude that compliance with ECIs manifest in climate adaptation in varying proportions.
openalex:W4319310740 mag: KerkoCite.ItemAlsoKnownAs: 10.1080/08941920.2023.2175283 5072953:CZ47Q3DV
Keywords: C:Cameroon; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:climate adaptation practices; oa:sdg:13 Climate action; oa:topic:T10367 Agricultural Innovation and Livelihood Diversification; oa:topic:T10439 Adaptation to Climate Change in Agriculture; oa:topic:T12656 Impact of Climate Change on Human Migration; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

‘As a farmer you've just got to learn to cope’: Understanding dairy farmers' perceptions of climate change and adaptation decisions in the lower South Island of Aotearoa-New Zealand - Griffin, Christina; Wreford, Anita; Cradock-Henry, Nicholas (Journal of Rural Studies, 2023)
The impacts and implications of climate change – such as floods, droughts, heavy rainfall and increased regulation – are affecting dairy farming practices in the lower South Island (Te Waipaounamu) of Aotearoa-New Zealand. Adapting to these changes, in an equitable and transformational manner, is dependent on understanding the underlying root causes of vulnerability alongside local knowledge and values. We apply an intersectional values-based and contextual analysis to describe how past and present processes of agrarian change interact across different farmer identities to influence adaptive pathways. Local knowledge, place-based experience, values and perceptions of fairness intersect with different facets of a farmer's identity – such as financial capacity, land ownership status, debt arrangements, age and gendered participation – to enable or constrain adaptive action. Notably, notions of fairness, whether real or perceived, vary across farmer groups, and influence the kinds of adaptation activities that dairy farmers are willing, or potentially able, to engage in. The results call for more contextualised engagement with farming communities, and highlight the need to build a shared understanding of the complex historical, social, economic, cultural and environmental drivers of past, present and future change, in this highly productive, yet risky, agricultural landscape.
openalex: W4322101951
Keywords: C:New Zealand; _z:class:countries; _z:class:themes; oa:keyword:dairy farmers; oa:topic:T10367 Agricultural Innovation and Livelihood Diversification; oa:topic:T10439 Adaptation to Climate Change in Agriculture; oa:topic:T12098 Rural Development and Change in Agricultural Landscapes; openalex:import; openalex:yes

An occupant-centric control strategy for indoor thermal comfort, air quality and energy management - Wang, Zu; Calautit, John Kaiser; Tien, Paige; Wei, Shuangyu; Zhang, Wuxia; Wu, Yupeng; Xia, Liang (Energy and Buildings, 2023)
Recently, Occupant-Centric Control (OCC) strategies have gained mounting interest. Previous studies made use of OCC strategies for adjusting the operation of heating/cooling systems, improving indoor thermal comfort and governing mechanical ventilation systems. However, a very limited number of studies have applied OCC strategies to natural ventilation systems. Further, the feasibility of establishing OCC strategies for controlling indoor thermal comfort, energy use and specifically air quality has received much less attention and investigation. This paper presented an Occupant-Centric Heating and Natural Ventilation Control (OCHNVC) strategy for enhancing indoor thermal comfort, building energy performance and indoor air quality. Firstly, real-time profiles of occupant behavior and window opening in a case study building were collected using artificial intelligence (AI)-powered cameras and deep vision algorithms. Secondly, shallow artificial-neural-networks predictive models were established for forecasting the responses of the studied building to different levels of occupant behavior and window opening behavior. Thirdly, an OCHNVC strategy tailored to the studied room was proposed and applied to the studied room. The strategy could lower heating energy consumption by between 0.6 % and 29.0 % and improve the level of indoor thermal comfort by between 0 % and 58.8 %, relative to a conventional control strategy. Moreover, the conventional window control strategy only maintained indoor CO2 concentrations below 1000 ppm for 59.7 % of the period that occupants were within the studied room, while the proposed controller could do so for 89.2 % of the period. Future works shall focus on experimentally deploying the strategy to real buildings and evaluating its performance.
KerkoCite.ItemAlsoKnownAs: 10.1016/j.enbuild.2023.112899 5072953:5RQJKZMD openalex: W4321073692
Keywords: _important; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:indoor thermal comfort; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10766 Urban Heat Islands and Mitigation Strategies; oa:topic:T11371 Urban Wind Environment and Air Quality Modeling; openalex:n:1; openalex:yes; selected_for:Predictive models for classroom conditions 2024

Prediction of rainfall response to the 21st-century climate change in Ghana using machine learning empirical statistical downscaling - Arthur, Frank H.; Boateng, Daniel; Baidu, Michael; Aryee, Jeffrey N. A. (Authorea (Authorea), 2023)
openalex:W4317894222 mag: KerkoCite.ItemAlsoKnownAs: 10.22541/essoar.167458059.91056213/v1 5072953:9JWSWHFW 5072953:IFPRA9AC
Keywords: C:Ghana; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:rainfall response; oa:sdg:13 Climate action; oa:topic:T11052 Electricity Price and Load Forecasting Methods; oa:topic:T11490 Hydrological Modeling using Machine Learning Methods; oa:topic:T13650 Scientific Computing and Data Analysis with Python; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Mapping climate risk for education planning in the Caribbean - Centre (UNOSAT), United Nations Satellite (ArcGIS StoryMaps, 2023)
A project by CDEMA, OpenDevEd and UNOSAT
KerkoCite.ItemAlsoKnownAs: 4874017:7WQGXXZC 5072953:IYQCIV97
Keywords: _z:class:countries; _z:class:themes

The role of the scientific community in strengthening disability-inclusive climate resilience - Stein, Penelope J. S.; Stein, Michael Ashley; Groce, Nora; Kett, Maria (Nature Climate Change, 2023)
Despite the trajectory towards climate catastrophe, governments are failing to take disability-inclusive climate action. We discuss how the scientific community could advance and hasten the development of disability-inclusive climate resilience, and which areas should be prioritized.
openalex: W4313888059
Keywords: _z:class:countries; openalex:import; openalex:yes

Student knowledge and perceptions of climate change and environmental sustainability at the Faculty of Health Sciences, University of Cape Town, South Africa - Irlam, James; Razzack, Z; Rother, H-A (African Journal of Health Professions Education, 2023)
Background. Climate change and polluting healthcare systems are significant threats to public health. Education about planetary health and environmentally sustainable healthcare is needed to equip health professionals to meet these challenges.Objectives. To assess the knowledge, perceptions and understanding of climate change and environmental sustainability among undergraduate health sciences students at the Faculty of Health Sciences (FHS), University of Cape Town (UCT).
Methods. Two student-led focus groups helped to design a cross-sectional survey of all undergraduate health sciences students. The survey findings were analysed quantitatively and thematically.Results. The 264 respondents included 211 medical and 53 health and rehabilitation students. Two-thirds of respondents (64.4%) claimed awareness but little understanding of climate change, which was understood mainly as changes in weather and climate patterns (40%) as a result of human activities (96.6%). Most (72%) were aware of the concept of environmental sustainability, but with little understanding. Students’ main sources of information about climate change were the internet (84.1%) and social media (77.3%). Two-thirds believed that climate change will highly impact their patients’ health and quality of life. Most (58.3%) thought that health professionals can help to prevent climate change by educating patients and promoting sustainable lifestyles. Nearly half (47.3%) thought it important to teach climate change and environmental sustainability in the curriculum.
Conclusion. Climate change and environmental sustainability have been poorly incorporated into current FHS, UCT curricula. Students acknowledged that these concepts are important and should be taught. The FHS should integrate planetary health and environmental sustainability into its curricula, in line with global efforts.
openalex:W4362566146 mag: KerkoCite.ItemAlsoKnownAs: 10.7196/ajhpe.2023.v15i1.1659 5072953:QSKZ9FJC
Keywords: C:South Africa; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:environmental sustainability; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T11244 Impact of Climate Change on Human Health; oa:topic:T11488 Perceptions and Communication of Climate Change; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Training Needs on Climate Change Adaptation Measures in Crop and Livestock Production among Field Extension Workers in the Southeast Agro-Ecological Zone of Nigeria - Agomuo, C.I.; Umunakwe, P.C.; Ejiogu, A. O.; Ubeh, E.O. (Middle East Journal of Agriculture Research, 2023)
The study examined the training needs on climate change adaptation measures in crop and livestock production among field extension workers in the Southeast agro-ecological zone of Nigeria. Specifically, the study identified trainings on climate change adaptation in crop and livestock production received by field extension staff, training needs on climate change adaptation on livestock and crop production among the workers and the constraints faced by the workers in disseminating climate change adaptation measures. A sample of 210 field extension workers proportionately selected from three out of five states in the Southeast agro-ecological zone of Nigeria participated in the study. Data were obtained using structured questionnaire and were described using mean score and frequency. Results showed that the field extension staff were still in their economically active ages (X¯= 43), mostly female (64%) and well-educated. It was further revealed that the extension staff had worked for an average of 14 years. On the trainings on climate change adaptation measures in crop received by the staff, the result indicated that intercropping/mixed cropping (96.5%), early maturing varieties and higher yielding crops (96.5%) dominated whereas training on mixed livestock faming (91.4%) and use of improved livestock breeds (91.0%) prevailed in the livestock area. It was further indicated that the field extension workers needed training on communication skills (X¯= 3.6), erosion detection techniques and preventive & control measures for onward dissemination to farmers (X¯ = 3.5). The constraints to the dissemination of climate change adaptation measures included inadequate agricultural information/database/library for easy access to extension workers (X¯ = 2.8) and weak linkage system between research and extension for prompt innovation and information exchange (X¯ = 2.5). The study recommended the organization of routine training on climate change adaptation for field extension workers in the agro-ecological zone.
openalex:W4390203465 KerkoCite.ItemAlsoKnownAs: 10.36632/mejar/2023.12.2.21 5072953:C4RF98TU 5072953:LDXQAKHF
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T11259 Sustainable Diets and Environmental Impact; openalex:import; openalex:n:1; openalex:yes

Assessing and mitigating overheating risk in existing Canadian school buildings under extreme current and future climates - Baba, Fuad Mutasim; Ge, Hua; Wang, Liangzhu; Zmeureanu, Radu (Energy and Buildings, 2023)
Canadian buildings have been primarily designed to withstand cold and long winters, not hot summers. With climate change and the increase in the intensity and severity of heatwaves, it has become important to investigate overheating in buildings. However, there are limited studies on assessing and mitigating the overheating risk in existing buildings that house vulnerable populations in cold climates, especially in Canada. This paper provides a framework for the systematic assessment of overheating risks and the development of passive mitigation strategies to reduce the overheating risks without increasing cooling energy consumption under current and future climates with simulation models that are calibrated based on measured indoor air temperatures and outdoor weather conditions. The framework is applied to a school building built in 1958. The calibrated building model achieved an RMSE of less than 0.6 °C compared with measurements, a Maximum-Absolute-Difference of less than 1.9 °C, and a 1 °C Percentage-Error of less than 10 %. The simulation results from the calibrated model predicted 110 overheating hours during the year 2020. The use of exterior blind roll or a combination of night cooling and other mitigation measures that reduce solar heat gain can achieve acceptable thermal conditions. In 2044 (the future extreme midterm year), night cooling with the exterior blind roll shading would be required during extreme heat events. Whereas during 2090 (the future long-term extreme year), additional mitigation measures such as a cool roof may be required to achieve an acceptable level of thermal conditions in the school.
openalex: W4310906470
Keywords: C:Canada; _z:class:countries; _z:class:themes; evidence_review_2; oa:keyword:canadian school buildings; oa:keyword:overheating risk; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10766 Urban Heat Islands and Mitigation Strategies; oa:topic:T11244 Impact of Climate Change on Human Health; openalex:import; openalex:yes

Optimizing Overheating, Lighting, and Heating Energy Performances in Canadian School for Climate Change Adaptation: Sensitivity Analysis and Multi-Objective Optimization Methodology - Baba, Fuad Mutasim; Ge, Hua; Zmeureanu, Radu; Wang, Liangzhu (Social Science Research Network, 2023)
This paper aims to develop long-term adaptation strategies for the existing Canadian school buildings under extreme current and future climates using a developed methodology based on global and local sensitivity analysis and Multi-Objective Optimization Genetic Algorithm. The calibrated simulation model based on indoor and outdoor measured temperature for a school of interest is used to evaluate the optimization strategies. This paper aims to search for the optimum school building design under three simultaneous conflicting objective functions: (1) the minimization of overheating hours to less than 40 hours as required by BB101 building code by using passive mitigation measures, (2) the minimization of heating energy use to less than 15 kW/m2 according to passive house requirements and thus the reduction of greenhouse gas emissions, and (3) the minimization of artificial lighting energy use to less than the current lighting energy use by maximization of daylighting usage without exceeding acceptable glare index in classrooms. Ten building design variables are selected, which could generate approximately 300,000 solutions. The developed methodology reduced the numbers to 14,400 solutions and found seven Pareto solutions that comply with the three objectives and their constraints. High energy-efficient building envelope, appropriate window-wall ratio and window type, natural ventilation during the day, and night cooling can play a key role in achieving the objectives under current weather conditions. An additional cool roof and external overhang will be needed in the medium-term future climate, and an additional movable screen shading will be needed in the long-term future climate.
openalex: W4361018614
Keywords: _z:class:countries; _z:class:themes; evidence_review_2; oa:keyword:climate change adaptation; oa:sdg:13 Climate action; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; openalex:import; openalex:yes

Effects of Indoor Plants on Occupants’ Emotional-State, Performance, and Perceived Comfort in an Open-Plan Seating Space - Budaniya, Mukesh; Mishra, Asit; Rai, Aakash; Dasgupta, Mani Sankar (2023)
Keywords: _z:class:countries

Climate change adaptation in agriculture: Learning from an international labour mobility programme in Australia and the Pacific Islands region - Dun, Olivia; Klocker, Natascha; Farbotko, Carol; McMichael, Celia (Environmental Science & Policy, 2023)
Climate change is expected to seriously affect agricultural livelihoods and food security in all Pacific Island countries. The United Nations Food and Agriculture Organisation contends that, to adapt, both ‘modern’ and Indigenous agricultural practices and knowledge are needed. A challenge lies in combining agricultural knowledge systems and enabling adaptive knowledge to be shared amongst Pacific Islanders. Opportunities to integrate different types of agricultural knowledge (including ‘modern’ and Indigenous) are needed. This paper argues that international labour mobility programmes provide an avenue for knowledge exchange that can support climate change adaptation in agriculture. It presents empirical evidence from research with 33 Pacific Islanders who grow crops in their home countries and were employed in Australia’s Seasonal Worker Programme (SWP). We demonstrate how SWP participation opened new possibilities for climate change adaptation in agriculture in the Pacific Islands. Adaptive knowledge stems from SWP workers’ exposure to different agricultural skills and ideas in Australia, combined with their knowledge and experience of crop production in their countries of origin. SWP participation created opportunities for workers to draw on different agricultural skills and knowledge on return to the Pacific Islands. The ability for SWP workers to then exchange adaptive knowledge with other Pacific Islanders is enabled by their social relationships, the likes of which an official agricultural extension officer might not have to the same degree. So far, such adaptive agricultural knowledge and skills exchanges are serendipitous. There is scope to explicitly build climate change knowledge exchange into agriculture-focused international labour mobility schemes.
openalex: W4310017060
Keywords: C:Australia; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:climate change adaptation; oa:topic:T10367 Agricultural Innovation and Livelihood Diversification; oa:topic:T10439 Adaptation to Climate Change in Agriculture; oa:topic:T12656 Impact of Climate Change on Human Migration; openalex:import; openalex:yes

Health impact studies of climate change adaptation and mitigation measures – A scoping review - Luyten, Axel; Winkler, Mirko S.; Ammann, Priska; Dietler, Dominik (The Journal of Climate Change and Health, 2023)
Climate change affects both mental and physical health. Besides limiting the extent and consequences of climate change, mitigation and adaptation measures can have additional and potentially unintended health impacts. This scoping review outlines how health effects of climate mitigation and adaptation measures have been studied in the scientific literature. We conducted a systematic literature search in the databases PubMed, Scopus and Web of Science without time restriction. All peer-reviewed articles reporting quantified health impacts linked to specific climate change adaptation and mitigation measures were included. Overall, the 89 included articles considered only a narrow range of health determinants and health outcomes. Adaptation- and mitigation-related articles most frequently investigated the environmental health determinants air temperature and air pollution, respectively. Non-communicable diseases were predominantly studied while other relevant health outcome categories, such as mental health, food- and nutrition-related issues, and communicable diseases were rarely reported. The scarcity of studies focusing on the social health determinants and providing stratified health impacts among vulnerable population groups in assessments points to an inadequate consideration of health equity aspects. Increased efforts to quantify health impacts more comprehensively and to identify underlying vulnerability factors among specific population groups seem needed. This information could provide policymakers with more accurate evidence to address health equity aspects, limit adverse health impacts and promote health co-benefits of climate change adaptation and mitigation measures.
openalex: W4308629203
Keywords: _z:class:countries; evidence_review; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Prevalence of stress, anxiety and depression in the context of climate change among newly recruited contract teachers in Morocco - Meskini, Nadia; Lamtai, Mouloud; Sfendla, Anis; Madhi, Youssef El; Ahami, Ahmed Omar Touhami; Ouahidi, Moulay Laarbi (E3S Web of Conferences, 2023)
Teaching has been identified as one of a highly stressful jobs. As known, this job is linked to development of neuropsychiatric. However, there is a little background about the assessment of these problems among Moroccan teachers. This study aims to measure the prevalence of stress, anxiety and depression among 150 newly recruited contractual primary teachers in KHEMISSET city using three international scales. The perceived stress scale (PSS) for stress, the hospital anxiety and depression scale (HADS) and The Mini International Neuropsychiatric Interview (MINI) for anxiety and depression. The results show that 95.9% of the teachers are stressed. In contrast, among these teachers newly recruited 94.9% and 72.4% do not suffer from depression and anxiety, respectively. Additionally, there was no significant difference in the stress, anxiety and depression scores between male and female teachers (p > 0.05). The prevalence of stress, anxiety, and depression among newly recruited contract teachers in Morocco, specifically in the context of climate change, can be influenced by various factors. In conclusion, this study suggest that teachers are more susceptible to stress, depression and anxiety and suitable steps should be taken to enhance the mental health of these teachers, thus guaranteeing good quality education.
openalex:W4385957493 mag: KerkoCite.ItemAlsoKnownAs: 10.1051/e3sconf/202341201073 5072953:FHGX54SS
Keywords: C:Morocco; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T10795 Impact of Burnout on Healthcare Professionals and Students; oa:topic:T12947 Salutogenesis and Sense of Coherence in Health; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

The Impact of Climate Change on Quality Education Delivery: A Case Study of Four Selected Secondary Schools in Kabwe District, Zambia - Mpanza, Charity Tumeo; Muluka, Webby (International Journal of Research and Innovation in Social Science, 2023)
The study was an attempt to establish the impact of climate change on quality education delivery in selected four secondary schools in Kabwe district of central province in Zambia. Two objectives were at the heart of the study, namely: to establish effects of climate change commonly experienced in Kabwe district and to investigate how such effects affect provision of quality education in the selected four secondary schools within the district. 128 participants comprising 40 teachers, 80 pupils and 8 school administrators were purposively selected from four different secondary schools in Kabwe district. A survey using structured interviews and questionnaires were used. On challenges associated with effects of climate change commonly experienced in Kabwe district, the study established the following: impassable access roads to schools due to floods, destruction of homes, school buildings, obliteration of field crops and livestock due to heavy rains and droughts, and escalation of diseases and stress. On how the afore mentioned challenges affect quality education delivery, the study established the following: high absenteeism rate among pupils, deprivation of pupils with quality physical learning environment, increased hunger and reduced attention span in pupils, and compromised health of pupils. The study has proposed the following interventions: upscale tree planting programs, parents-teachers associations in concerned schools to aggressively lobby local authorities to maintain strategic roads in townships and residential areas leading to schools, to continue promoting use of eco-friendly practices such as conservation farming, strict control of both forest and charcoal burning, ban open air trash burning.
openalex:W4381622474 mag: KerkoCite.ItemAlsoKnownAs: 4874017:9ZF8ZVJ2 2129771:HDDW7DGQ 4874017:9ZF8ZVJ2 2129771:HDDW7DGQ 2129771:HDDW7DGQ 10.47772/ijriss.2023.70621 5072953:4ZNH56C7
Keywords: C:Zambia; _z:class:countries; _z:class:themes; _z:no_pdf; evidence_review_2; oa:keyword:quality education delivery; oa:sdg:2 Zero hunger; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Content and Teaching Methods Regarding Climate Change: South African Curricula Perspective - Msezane, Sıkhulıle Bongınkosı (2023)
The purpose of this chapter is to explore teaching methods showing the impact of climate change on the environment and human health. This study used a qualitative research design to explore potential climate change teaching strategies because climate change not only negatively impacts the environment, but also negatively impacts human health. The chapter will examine instructional strategies for teaching learners in Grades 10 to 12 about climate change using appropriate examples from the document analysis. To find the best climate change teaching strategies to implement in the classroom, documents will be purposefully sampled. Climate change teaching strategies will be helpful to both teachers and learners. Climate change practitioners, textbook authors, and educational policymakers will all benefit from these instructional strategies which can be applied in any school setting anywhere in the world.
openalex:W4387679727 mag: KerkoCite.ItemAlsoKnownAs: 10.1007/978-3-031-25960-9_48-1 5072953:PGCX7AVW
Keywords: C:South Africa; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:climate change; oa:keyword:teaching methods; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T11488 Perceptions and Communication of Climate Change; openalex:import; openalex:n:1; openalex:yes

Enhancing the review process in global environmental assessments: The case of the IPCC - Palutikof, Jean; Boulter, Sarah; Field, Christopher B.; Mach, Katharine J.; Manning, Martin; Mastrandrea, Michael D.; Meyer, Leo M.; Minx, Jan; Pereira, Joy Jacqueline; Plattner, Gian‐Kasper; Ribeiro, Suzana Kahn; Sokona, Youba; et al. (Environmental Science & Policy, 2023)
External review is a fundamental component of Global Environmental Assessments, ensuring their processes are comprehensive, objective, open and transparent, and are perceived as such. Here, we focus on review of Intergovernmental Panel on Climate Change (IPCC) Assessment Reports. The review process has received little scrutiny, although review comments and author responses are public. Here we analyse review documents from the Fourth and Fifth Assessments, focusing primarily on Working Group II. We address three questions: Is the review representative? Is it comprehensive? Is it insightful? Overall we found the review process to be fit for purpose, although there are outstanding issues. First, the overwhelming majority of reviewers are from developed countries, although evidence suggests participation by developing country reviewers increased between the Fourth and Fifth Assessments. Second, earlier sections of chapters are more densely reviewed than later ones. This is true even when executive summaries are removed from analysis. In consequence, some sections on specialised topics may escape in-depth review. Thirdly, those review comments which are received make a valid and valuable contribution to the scientific development of chapters. We suggest how outstanding issues could be addressed, including through enhanced reviewer recognition, a wider role for review editors, adherence to mandated page lengths from early in the process, reviewer training, and consistency in reporting to allow systematic evaluation. Making such changes will result in more transparent, consistent and representative processes delivering reviews which effectively contribute to the credibility and legitimacy of future Global Environmental Assessments and, ultimately, their recognition and contribution.
openalex: W4309079633
Keywords: _z:class:countries; evidence_review; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Self-Generating Training Model (SGTM) Algorithm to Estimate Groundwater Level in Consensus with Climate Change Impact Study in Cauvery Delta Zone, Tamil Nadu, India - Raj, A. Stanley; Angelena, J.P.; Damodharan, R.; Kumar, D. Senthil (2023)
Cauvery Delta Zone is present in the eastern part of Tamil Nadu, popularly known as ‘rice bowl’ of Tamil Nadu. It constitutes of about 11.1% of total area of the state. It lies between 10.00 and 11.30° N latitude and 78.15°–79.45° E longitude. Cauvery Delta Zone includes the districts of Thanjavur, Thiruvarur, Nagapattinam, Mayiladuthurai, Perambalur and some parts of Pudhukottai and Cuddalore Districts. This zone plays a vital role not only in rice production but also in other varieties of crops and raw materials for industries. It receives more than 50% of rainfall in North East monsoon. Variation in rainfall in this zone causes serious environmental effects. Sources of groundwater recharge zones are mostly influenced by rainfall variability. In this research work, the connection between the climate change impact and rainfall variability has been studied and the successive study has been made. The temporal trends of rainfall variability are studied extensively to predict the future scenario using the Self-Generating Training Model (SGTM) algorithm. This work is potentially helpful for farmers to identify the threatening zones and can understand the fluctuations in groundwater level due to implications of climate change.
openalex: W4387917520
Keywords: C:India; _z:class:countries; _z:class:themes; oa:keyword:estimate groundwater level; oa:topic:T10330 Hydrological Modeling and Water Resource Management; oa:topic:T11186 Global Drought Monitoring and Assessment; oa:topic:T11490 Hydrological Modeling using Machine Learning Methods; openalex:import; openalex:n:1; openalex:yes

Schools, Religion and Teaching about Climate Change and Sustainable Development – Indonesia and Nigeria - Salter, Emma (2023)
openalex:W4386625040 mag: KerkoCite.ItemAlsoKnownAs: 10.5040/9781350297296.ch-19 5072953:T599JSXV
Keywords: C:Indonesia; C:Nigeria; _z:class:countries; _z:class:themes; _z:no_pdf; oa:topic:T13059 Influence of Religion on Environmental Concern and Activism; oa:topic:T13456 Role of Faith-Based Organizations in Development and Social Services; openalex:import; openalex:n:1; openalex:yes

The Potential of Artificial Intelligence for Achieving Healthy and Sustainable Societies - Sırmaçek, Beril; Gupta, Shivam; Mallor, Fermı́n; Azizpour, Hossein; Ban, Yifang; Eivazi, Hamidreza; Fang, Haowen; Golzar, Farzin; Leite, Iolanda; Melsión, Gaspar Isaac; Smith, Kevin; Nerini, Francesco Fuso; et al. (2023)
In this chapter we extend earlier work (Vinuesa et al., Nat Commun 11, 2020) on the potential of artificial intelligence (AI) to achieve the 17 Sustainable Development Goals (SDGs) proposed by the United Nations (UN) for the 2030 Agenda. The present contribution focuses on three SDGs related to healthy and sustainable societies, i.e., SDG 3 (on good health), SDG 11 (on sustainable cities), and SDG 13 (on climate action). This chapter extends the previous study within those three goals and goes beyond the 2030 targets. These SDGs are selected because they are closely related to the coronavirus disease 19 (COVID-19) pandemic and also to crises like climate change, which constitute important challenges to our society.
openalex: W4368249643
Keywords: _z:class:countries; openalex:citedBy; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Civic Education Teachers' Perspectives on Climate Change and Climate Change Education among Selected Peri-Urban Schools in Lusaka District, Zambia - Szanajda, Andrew; Li, Yu Jie (International Journal of Humanities, Social Sciences and Education, 2023)
openalex:W4385500979 KerkoCite.ItemAlsoKnownAs: 10.20431/2349-0381.1007017 5072953:7PWUJHR8
Keywords: C:Zambia; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:climate change education; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Carbon dioxide concentration levels and thermal comfort in primary school classrooms: what pupils and teachers do - Zapata-Lancaster, Maria Gabriela; Ionas, Miltiadis; Toyinbo, Oluyemi; Smith, Thomas Aneurin (Sustainability, 2023)
The current climate emergency concerns and the COVID-19 pandemic demand urgent action to maintain healthy indoor environments in energy efficient ways. Promoting good indoor environments, in particular, increasing ventilation levels, has been a prominent strategy to mitigate the risk of COVID-19 transmission indoors. However, this strategy could be detrimental to thermal comfort, particularly during the heating season in buildings located in temperate climate zones. This paper presents research conducted in two primary schools in South Wales (UK) where the temperature, relative humidity and the carbon dioxide (CO2) concentration levels were monitored. The study monitored six classrooms and two communal spaces in the two schools during the academic year 2021/2022, the first academic year back to teaching and learning in school buildings after home-schooling and educational disruptions due to COVID-19 lockdowns. The study investigated the actions taken by teachers and pupils to balance the thermal comfort needs while minimising CO2 concentration levels. We conducted user studies to explore the comfort perceptions by pupils and teachers in relation to the thermal conditions and the freshness of air in the monitored classrooms. The paper identifies opportunities where end-users, teachers and pupils engaged with the management of the indoor environmental conditions and adopted actions to balance the requirement of reducing CO2 concentration levels while promoting thermal comfort. This research offers lessons and insights related to end-users’ agency and their understanding of indoor environments and thermal experience in schools.
KerkoCite.ItemAlsoKnownAs: 2129771:CALH3X97 2129771:CALH3X97 10.3390/su15064803 4874017:NUNNPT8A 5072953:P4CXHH47 openalex: W4323664266
Keywords: CO_2 concentration indoors; _z:class:countries; _z:class:themes; evidence_review_2; monitoring; oa:keyword:primary school classrooms; oa:sdg:13 Climate action; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10990 Airborne Transmission of Respiratory Viruses; oa:topic:T11002 Indoor Air Quality and Health Effects; openalex:n:1; openalex:yes; school buildings; thermal comfort

Determining the adaptive thermal comfort and preference votes of children in public primary schools in the hot semi-arid climatic zone of Nigeria - Abdullah, I.A.; Salisu, A.S.; Dahiru, A. (J. Human Centered Technol, 2023)
Keywords: _z:class:countries; evidence_review_2

The effect of commercial building orientations on indoor climate in tropical environments: A new insight on thermal comfort studies - Akpan, A. (Curr Landscape Ecol Rep, 2023)
Keywords: _z:class:countries

Guidance note on using implementation research in education - Allison, C. (London: Foreign, Commonwealth & Development Office, prepared for Building Evidence in Education (BE2), 2023)
KerkoCite.ItemAlsoKnownAs: 2129771:V6II42S9 2129771:V7SJPNUZ
Keywords: evidence_review

Design guidance for education facilities: prioritization for Advanced Indoor Air Quality - ASHRAE; Setty, Raj; Ruch, Christopher; Metzger, Corey; Hasenkox, Kyle; Hammelman, Keith; Maor, Itzhak (2023)
KerkoCite.ItemAlsoKnownAs: 4874017:4FRFAYMY 5072953:FAGHTYPR
Keywords: _z:class:countries; _z:class:themes

Interdependence between climate change and migration: Does agriculture, geography, and development level matter in sub‐Saharan Africa? - Bannor, Frank; Magambo, Isaiah Hubert; Mahabir, Jugal; Tshitaka, Jeanluc Mubenga (South African Journal of Economics, 2023)
Concerns about the human effects of climate change have contributed to forecasts of how populations in drought-prone and flood-prone areas would respond to these events. Empirical studies have predicted that human migration has been among the critical resilient strategy in responding to the impact of climate change. To obtain a more comprehensive understanding of the climate–migration relationship, the impacts of climate change on international migration flows from sub-Saharan Africa nations to South Africa are investigated empirically in this paper. The study employed static and dynamic models and panel data from 35 countries in sub-Saharan Africa, spanning 1990 to 2017. The findings are as follows: (1) The analysis shows that historical temperature has a positive and statistically significant effect on outmigration in agriculture-dependent nations. (2) The analysis shows that agricultural value added as a share in gross domestic product has a negative and statistically significant effect on outmigration in agriculture-dependent nations. (3) The results also show that geographic location and development level of a country, in addition to dependency on agriculture, are key factors in the climate change–international migration nexus. Policy implications are discussed.
openalex: W4366997629
Keywords: _snowballing:openalex; _z:class:countries; openalex:n:1; openalex:yes

Holistic overview of natural ventilation and mixed mode in built environment of warm climate zones and hot seasons - Bienvenido-Huertas, David; De La Hoz-Torres, María Luisa; Aguilar, Antonio J.; Tejedor, Blanca; Sánchez-García, Daniel (Building and Environment, 2023)
The climate change leads to periods of extreme events (i.e. reduction of cold seasons, heat waves, overheating, urban heat island among others) that affect the performance of residential and tertiary buildings with high occupancy (i.e. hospitals, schools, commercial centres, offices etc). However, most of low-carbon policies do not consider the ventilation as a mitigation measure. In fact, a lack of studies on natural ventilation (NV) and mixed-mode (MM) strategies was detected, especially for warm regions or areas with hot and humid climates. This paper aims to carry out a bibliometric analysis from 1928 to 2023, to observe the evolution of the topic. After identifying the main research clusters (thermal comfort, energy efficiency, indoor air quality and simulation tools) by science mapping, the most relevant publications of the last 20 years were assessed (2003–2023). The results of this study revealed that only 1.51 % of the scientific documents in 95 years corresponded to an extensive literature review, although epidemic or disease outbreaks led to peaks of production in this topic. This emphasizes the importance of observing what was done and how was implemented over the years. Regarding the clusters, some relevant aspects can be highlighted: (i) non-homogeneity of studies on NV or MM related to building type; (ii) interregional projects should be drawn up to check the effectiveness of NV and MM, especially when other architectural techniques are adopted (i.e. solar chimneys, window wall ratio –WWR-, thermally activated building structures –TABS- etc); (iii) the optimization of simulation tools should be based on the incorporation of BIM and generative design for NV and MM.
KerkoCite.ItemAlsoKnownAs: 5072953:24YYVSKW 5072953:2M65XVSM
Keywords: Built environment; Energy efficiency; IAQ; Mixed mode; Natural ventilation; Simulation; Software; Thermal comfort; _z:class:countries; _z:no_pdf

Effectiveness of carbon pricing–A systematic review and meta-analysis of the ex-post literature - Döbbeling-Hildebrandt, N.; Miersch, K.; Khanna, T.; Bachelet, M.; Bruns, S. B.; Callaghan, M.; Edenhofer, O.; Flachsland, C.; Forster, P.; Kalkuhl, M. (2023)
KerkoCite.ItemAlsoKnownAs: 5072953:L9FD3JCY 5072953:YVAYYGBL
Keywords: _z:class:countries

Exploring the use of indigenous building materials to achieve thermal comfort in a hot, humid climate: The case of south Eastern Nigeria - Egbum, P.S.; Anaebo, C.; David, C.; Barnaby, J. (African Journal of Educational Management, Teaching and Entrepreneurship Studies, 2023)
Keywords: _z:class:countries

Thermal energy storage enhanced windcatcher system for hybrid cooling and ventilation in buildings - Eso, Olamide (2023)
KerkoCite.ItemAlsoKnownAs: 4874017:ZDP45MEY 5072953:CSIQDIMN
Keywords: _z:class:countries; _z:class:themes

Climate, Enviroment and Education - Fab Inc; Laterite; Open Development and Education (2023)
Presentation for the Tanzania Education Donors-Partners working group – session on Education, Climate and Environment.
KerkoCite.ItemAlsoKnownAs: 2129771:FKT25FYV 5072953:D9AMRVQH
Keywords: C:Tanzania; _z:class:countries; _z:class:themes

An introduction to statistical learning with applications in python - G., James; Witten, D.; Hastie, T.; Tibshirani, R.; Taylor, J. (Springer Texts in Statistics, 2023)
Keywords: _z:class:countries