How physical and built environments impact learning and inclusivity in educational settings: supporting evidence-based practice - Twiss, Trisha Ann (Electronic version published by Vancouver Island University, 2021)
Keywords: BE:RELEVANT; _z:class:countries; _z:class:themes

Climate education in the spotlight at COP26: Ministers of Education and Environment meet for historic event - U.N.E.S.C.O. (2021)
Keywords: _z:class:countries

Co-Chairs Conclusions of Education and Environment Minister Summit at COP 26 - UKCOP26 (2021)
Keywords: _z:class:countries

Measuring Particle Concentration and Compositions in Indoor Air - Wallace, Lance; Hopke, Philip (Handbook of Indoor Air Quality, 2021)
Keywords: _z:class:countries

Effects of Classroom Air Quality on Learning in Schools - Wargocki, Pawel (Handbook of Indoor Air Quality, 2021)
This chapter describes the evidence of the effects of indoor air quality (IAQ) on learning of children and gives an overview of the size of the effects expected. The results from the published experiments on the effects of classroom air quality on the performance of schoolwork do confirm that these effects are systematic and show that improving classroom air quality will have a significant positive effect on some aspects of learning, both on cognitive skills and academic attainment, as well as academic achievements and absence rates. Present studies show that to ensure classroom IAQ conducive to learning, CO2 levels (indicating the adequacy of ventilation) should be kept below 900 ppm at all times. It should be ensured that windows can be opened when needed, to improve classroom IAQ, and CO2 sensors should be installed to indicate when windows must be open (or any other measure to improve IAQ must be executed) if the CO2 concentration is too high and when they should be closed to conserve energy.
Keywords: Absence rate; BE:RELEVANT; Carbon dioxide; Learning; Schools; Sleep; Ventilation; _important; _z:class:countries; _z:class:themes; _z:no_pdf; evidence_review; openalex:n:2; openalex:yes

TAIL, a new scheme for rating indoor environmental quality in offices and hotels undergoing deep energy renovation (EU ALDREN project) - Wargocki, Pawel; Wei, Wenjuan; Bendžalová, Jana; Espigares-Correa, Carlos; Gerard, Christophe; Greslou, Olivier; Rivallain, Mathieu; Sesana, Marta Maria; Olesen, Bjarne W.; Zirngibl, Johann (Energy and Buildings, 2021)
Keywords: BE:RELEVANT; _z:class:countries; _z:class:themes; oa:keyword:indoor environmental quality; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T11002 Indoor Air Quality and Health Effects; oa:topic:T11692 Effects of Noise Pollution on Health and Well-being; openalex:n:1; openalex:yes

Comparative analysis of user comfort and thermal performance of six types of vernacular dwellings as the first step towards climate resilient, sustainable and bioclimatic architecture in western sub-Saharan Africa - Widera, B. (Renewable and Sustainable Energy Reviews, 2021)
Keywords: _z:class:countries

Major climate change-induced risks to human health in South Africa - Wright, Caradee Y.; Kapwata, Thandi; Du Preez, David Jean; Wernecke, Bianca; Garland, Rebecca M.; Nkosi, Vusumuzi; Landman, Willem A.; Dyson, Liesl; Norval, Mary (Environmental Research, 2021)
Keywords: BE:LMIC; BE:RELEVANT; C:South Africa; _z:class:countries; _z:class:themes; oa:topic:T10190 Health Effects of Air Pollution; oa:topic:T11244 Impact of Climate Change on Human Health; openalex:n:1; openalex:yes

Optimising thermostat settings in school and office buildings for thermal comfort, cognitive performance and energy efficiency - Wyon, David P.; Wargocki, Pawel (2021)
Keywords: BE:RELEVANT; _z:class:countries; _z:class:themes; evidence_review_2; ⛔ No DOI found

Temperature-dependent ventilation rates might improve perceived air quality in a demand-controlled ventilation strategy - Yang, Aileen; Holøs, Sverre B.; Resvoll, Marie Opsahl; Mysen, Mads; Fjellheim, Øystein (Building and Environment, 2021)
Keywords: BE:RELEVANT; _z:class:countries; _z:class:themes; oa:keyword:air quality; oa:keyword:ventilation; oa:sdg:13 Climate action; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T11002 Indoor Air Quality and Health Effects; oa:topic:T11244 Impact of Climate Change on Human Health; openalex:n:1; openalex:yes

Handbook of Indoor Air Quality - Zhang, Yinping; Hopke, Philip K.; Mandin, Corinne (Springer Singapore, 2021)
Keywords: _z:class:countries; _z:no_pdf; openalex:n:2; openalex:yes

A study on the prediction of thermal comfort for residuals using LSTM deep learning model - Ho, Jongnam; Cho, Jaeyoun; Shin, Hyunkyu; Lee, Joosung; Kim, Woojae; Ahn, Yonghan (International Journal of Sustainable Building Technology and Urban Development, 2020)
Keywords: _important; _z:class:countries; _z:class:themes; oa:keyword:thermal comfort; oa:topic:T14156 Structural Analysis and Design Optimization in Engineering; openalex:n:1; openalex:yes; selected_for:Predictive models for classroom conditions 2024

Knowledge of Health Impact of Climate Change and Practice of Preventive Measures among Students of a Nigerian Tertiary Institution - Nzeobi, J. R.; Chineke, H. N.; Ubajaka, Chika Florence; Adogu, Prosper O. U. (Asian Journal of Environment & Ecology, 2020)
Background: Every century has its own public health challenge. Climate change is the present century's challenge. There are various health risks arising from climate change which without mitigation actions, will tend to worsen with each passing day.
Study Aim and Objective: To study the knowledge of health impact of climate change and practice of appropriate preventive measures among students of a Nigerian Tertiary Institution
Methodology: A descriptive cross-sectional survey was carried out using structured questionnaires. These questionnaires were shared randomly among students from five selected departments in the college of health science and data was analyzed using SPSS Version 20.0
Results: It was found that all the students were aware of climate change and 91.7% knew about the effect of climate change on health. Significantly 78.7% believed that climate change was from man-made causes but surprisingly only 34.3% were taking actions in mitigating the effect of climate change.
Conclusion: Despite the high knowledge about climate change, majority of actions taken by the students were just for convenience and to save money, not necessarily because they wanted to prevent the effects of climate change on health.
Recommendation: Government and Non-governmental organizations should form advocacy clubs for young students as a platform to sensitize them on climate change and its effects. There is need to introduce rewards and sponsorships for individuals who successfully learn about climate change and ways to mitigate its effect on health.
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T11244 Impact of Climate Change on Human Health; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

The Rights of Persons with Disabilities in the Context of the Un Framework Convention on Climate Change (Human Rights Documents Online, 2020)
Keywords: _z:class:countries; openalex:import; openalex:yes

How can New Zealand schools respond to climate change? - Bolstad, Rachel (2020)
International climate agreements say education can play a key role in responding to the global challenge of climate change. My team and I are currently carrying out research to help build a national picture of educational responses to climate change. Our research suggests that New Zealand’s educational policies and strategies currently provide a diffuse framework for responding to climate change, and there is a lack of coherent messaging “from the top” about what could or should be expected of schools. Yet some innovative practices and approaches are visible across the school network. This article describes what we currently know about climate and sustainability thinking and practice across English-medium schools, and what further actions and supports may be needed across the system.
Keywords: C:New Zealand; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:new zealand schools; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T11806 Impact of Service-Learning in Higher Education; openalex:import; openalex:yes

How can New Zealand schools respond to climate change? - Bolstad, Rachel (2020)
International climate agreements say education can play a key role in responding to the global challenge of climate change. My team and I are currently carrying out research to help build a national picture of educational responses to climate change. Our research suggests that New Zealand’s educational policies and strategies currently provide a diffuse framework for responding to climate change, and there is a lack of coherent messaging “from the top” about what could or should be expected of schools. Yet some innovative practices and approaches are visible across the school network. This article describes what we currently know about climate and sustainability thinking and practice across English-medium schools, and what further actions and supports may be needed across the system.
Keywords: C:New Zealand; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:new zealand schools; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T11806 Impact of Service-Learning in Higher Education; openalex:import; openalex:yes

Perception and Level of Awareness of Climate Change among Adult Learners on Attendance and Performance in Literacy Centres, Ondo State, Nigeria - Olaniyi, Francis O. (Randwick International of Education and Linguistics Science Journal, 2020)
This study investigated theperception and awareness of climate change among adult learners on attendance and performance in literacy centres in Ondo State, Nigeria. Five research questions were generated for the study. The descriptive research design of the survey type was used for the study involving a population of adult learners in literacy centres in Ondo State, Nigeria. Purposive random sampling technique was used to select a sample size of 100 participants drawn from the entire population of adult learners in literacy centres of Ondo State, Nigeria. A self-constructed questionnaire was used as an instrument for the study. Data collected were analysed using descriptive statistics of frequency counts,percentage and mean deviation were used to answer the research questions raised for the study. Findings revealed that the level of awareness on climate change among adult learners on attendance and performance is very high because they were already aware of climate change and its effects on human existence. Also, adult learners do not perceive climate change as the work of nature alone but as well as the effects of activities of man on the environment. Findings also revealed that that several factors like deforestation, bush burning, air pollution and other man’s activities on the environment such as mining, science and technology among others are the causes of climate change. It is therefore recommended that, information should be disseminated to the people on proper management of the environment. Government should not relent in conducting house to house orientation on how to conserve the environment from the effects of climate change.
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:topic:T13530 Climate Change and Environmental Impact; oa:topic:T14296 Climate Change and Sustainable Development; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Perception and Level of Awareness of Climate Change among Adult Learners on Attendance and Performance in Literacy Centres, Ondo State, Nigeria - Olaniyi, Francis O. (Randwick International of Education and Linguistics Science Journal, 2020)
This study investigated theperception and awareness of climate change among adult learners on attendance and performance in literacy centres in Ondo State, Nigeria. Five research questions were generated for the study. The descriptive research design of the survey type was used for the study involving a population of adult learners in literacy centres in Ondo State, Nigeria. Purposive random sampling technique was used to select a sample size of 100 participants drawn from the entire population of adult learners in literacy centres of Ondo State, Nigeria. A self-constructed questionnaire was used as an instrument for the study. Data collected were analysed using descriptive statistics of frequency counts,percentage and mean deviation were used to answer the research questions raised for the study. Findings revealed that the level of awareness on climate change among adult learners on attendance and performance is very high because they were already aware of climate change and its effects on human existence. Also, adult learners do not perceive climate change as the work of nature alone but as well as the effects of activities of man on the environment. Findings also revealed that that several factors like deforestation, bush burning, air pollution and other man’s activities on the environment such as mining, science and technology among others are the causes of climate change. It is therefore recommended that, information should be disseminated to the people on proper management of the environment. Government should not relent in conducting house to house orientation on how to conserve the environment from the effects of climate change.
Keywords: _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:topic:T13530 Climate Change and Environmental Impact; oa:topic:T14296 Climate Change and Sustainable Development; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Impact of Cognitive Tasks on CO2 and Isoprene Emissions from Humans - Gall, Elliott; Mishra, Asit; Li, Jiayu; Laguerre, Aurélie (Environmental Science & Technology, 2020)
The human body emits a wide range of chemicals, including CO2 and isoprene. To examine the impact of cognitive tasks on human emission rates of CO2 and isoprene, we conducted an across-subject, counterbalanced study in a controlled chamber involving 16 adults. The chamber replicated an office environment. In groups of four, participants engaged in 30 min each of cognitive tasks (stressed activity) and watching nature documentaries (relaxed activity). Measured biomarkers indicated higher stress levels were achieved during the stressed activity. Per-person CO2 emission rates were greater for stressed than relaxed activity (30.3 ± 2.1 vs 27.0 ± 1.7 g/h/p, p = 0.0044, mean ± standard deviation). Isoprene emission rates were also elevated under stressed versus relaxed activity (154 ± 25 μg/h/p vs 116 ± 20 μg/h/p, p = 0.041). The chamber temperature was held constant at 26.2 ± 0.49°C; incidental variation in temperature did not explain the variance in emission rates. Isoprene emission rates increased linearly with salivary α-amylase levels (r 2 = 0.6, p = 0.02). These results imply the possibility of considering cognitive tasks when determining building ventilation rates. They also present the possibility of monitoring indicators of cognitive tasks of occupants through measurement of air quality.

LSTM-based indoor air temperature prediction framework for HVAC systems in smart buildings - Mtibaa, Fatma; Nguyen, Kim-Khoa; Azam, Muhammad; Papachristou, Anastasios; Venne, Jean-Simon; Cheriet, Mohamed (Neural Computing and Applications, 2020)
Accurate indoor air temperature (IAT) predictions for heating, ventilation, and air conditioning (HVAC) systems are challenging, especially for multi-zone building and for different HVAC system types. Moreover, the nonlinearity of the buildings thermal dynamics makes the IAT prediction more difficult since it is affected by complex factors such as controlled and uncontrolled points, outside weather conditions and occupancy schedule. This paper presents a long short-term memory (LSTM) model to predict IAT for multi-zone building based on direct multi-step prediction with sequence-to-sequence approach. Two strategies, LSTM-MISO and LSTM-MIMO, are built for multi-input single-output and multi-input multi-output, respectively. The performance of these two strategies has been evaluated based on two case studies on real smart buildings using variable air volume (VAV) and constant air volume (CAV) systems. For both buildings, experimental results showed that the LSTM models outperform multilayer perceptron models by reducing the prediction error by 50%.
Keywords: CAV; HVAC; LSTM; Multi-step ahead predictions; Sequence-to-sequence; VAV; _important; _z:class:countries; _z:class:themes; 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

LSTM-based indoor air temperature prediction framework for HVAC systems in smart buildings - Mtibaa, Fatma; Nguyen, Kim-Khoa; Azam, Muhammad; Papachristou, Anastasios; Venne, Jean-Simon; Cheriet, Mohamed (Neural Computing and Applications, 2020)
Accurate indoor air temperature (IAT) predictions for heating, ventilation, and air conditioning (HVAC) systems are challenging, especially for multi-zone building and for different HVAC system types. Moreover, the nonlinearity of the buildings thermal dynamics makes the IAT prediction more difficult since it is affected by complex factors such as controlled and uncontrolled points, outside weather conditions and occupancy schedule. This paper presents a long short-term memory (LSTM) model to predict IAT for multi-zone building based on direct multi-step prediction with sequence-to-sequence approach. Two strategies, LSTM-MISO and LSTM-MIMO, are built for multi-input single-output and multi-input multi-output, respectively. The performance of these two strategies has been evaluated based on two case studies on real smart buildings using variable air volume (VAV) and constant air volume (CAV) systems. For both buildings, experimental results showed that the LSTM models outperform multilayer perceptron models by reducing the prediction error by 50%.
Keywords: CAV; HVAC; LSTM; Multi-step ahead predictions; Sequence-to-sequence; VAV; _important; _z:class:countries; _z:class:themes; 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

Disability Inclusion in Climate Adaptation and Sustainable Development: A North African good practice - Maaninou, Nouha (2020)
Keywords: _z:class:countries; openalex:import; openalex:yes

The use of recycled plastics for the design of a thermal resilient emergency shelter prototype - Moreno-Sierra, Andres; Pieschacón, Mauricio; Khan, Ahmed (International Journal of Disaster Risk Reduction, 2020)
Context — More than 200 million people suffer every year natural hazards consequences around the world, sensibly affecting vulnerable populations and resulting on building's partial or total damage. In post-disaster scenarios, it is required to provide the construction of temporary facilities that can be used as shelters or educational spaces, and it is suitable to deliver low cost, fast construction, and site adapted solutions. However, many of these units are built with prefabricated elements brought ‘in situ’, but they cannot be produced locally, and they are frequently not adapted to their environment. Purpose The objective of this research is to increase the understanding of recycled plastics materials in order to develop a resilient prototype using modular elements made of plastic waste, and to measure the thermal comfort efficiency of the construction proposal to evaluate its capacity to adapt to the environment. Design/methodology/approach Based on the preliminary examination of natural hazards impacts on buildings, the study has focused on the recycled plastics materials' literature concerning methods and properties, in order to design a plastic-made emergency shelter module prototype. Dy- namic simulations have been conducted in order to evaluate the module's thermal behavior and its resilience to climatic conditions. Research limitations This research suggests the possibility of implementing a community-based plastic recycling process, depending on a production system that can be established at the emergency site, according to technical specifications summarized in the study. Findings The findings suggest that recycled plastic materials have a high-resilient capacity to face different weather conditions and that they are suitable for the construction of shelter modules. Originality/value The result is an efficient, resilient and thermal comfort adapted module assembly system that can be used as an emergency shelter for housing spaces, schools or health centers’ in a post-disaster reconstruction scenario.
Keywords: Emergency shelter; Modular structures; Recycled plastics; Resilient architecture; Sustainability; _z:class:countries; _z:class:themes; oa:keyword:recycled plastics; oa:topic:T10753 Microplastic Pollution in Marine and Terrestrial Environments; openalex:n:1; openalex:yes

Indigenous knowledge on climate change adaptation: a global evidence map of academic literature - Petzold, Jan; Andrews, Nadine; Ford, James D.; Hedemann, Christopher; Postigo, Julio C. (Environmental Research Letters, 2020)
There is emerging evidence of the important role of indigenous knowledge for climate change adaptation. The necessity to consider different knowledge systems in climate change research has been established in the fifth assessment report (AR5) of the Intergovernmental Panel on Climate Change (IPCC). However, gaps in author expertise and inconsistent assessment by the IPCC lead to a regionally heterogeneous and thematically generic coverage of the topic. We conducted a scoping review of peer-reviewed academic literature to support better integration of the existing and emerging research on indigenous knowledge in IPCC assessments. The research question underpinning this scoping review is: How is evidence of indigenous knowledge on climate change adaptation geographically and thematically distributed in the peer-reviewed academic literature? As the first systematic global evidence map of indigenous knowledge in the climate adaptation literature, the study provides an overview of the evidence of indigenous knowledge for adaptation across regions and categorises relevant concepts related to indigenous knowledge and their contexts in the climate change literature across disciplines. The results show knowledge clusters around tropical rural areas, subtropics, drylands, and adaptation through planning and practice and behavioural measures. Knowledge gaps include research in northern and central Africa, northern Asia, South America, Australia, urban areas, and adaptation through capacity building, as well as institutional and psychological adaptation. This review supports the assessment of indigenous knowledge in the IPCC AR6 and also provides a basis for follow-up research, e.g. bibliometric analysis, primary research of underrepresented regions, and review of grey literature.
Keywords: _z:class:countries

Student-Faculty Research Explores Impacts of Climate Change on Agriculture in Bangladesh - Kohr, Kandace (2020)
A summer student-faculty research project has uncovered an incredible relationship between climate change, agricultural sustainability and the human condition.
Keywords: C:Bangladesh; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:sdg:2 Zero hunger; oa:topic:T10439 Adaptation to Climate Change in Agriculture; openalex:import; openalex:yes; ⛔ No DOI found

Student-Faculty Research Explores Impacts of Climate Change on Agriculture in Bangladesh - Kohr, Kandace (2020)
A summer student-faculty research project has uncovered an incredible relationship between climate change, agricultural sustainability and the human condition.
Keywords: C:Bangladesh; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:sdg:2 Zero hunger; oa:topic:T10439 Adaptation to Climate Change in Agriculture; openalex:import; openalex:yes; ⛔ No DOI found

Climate change awareness, environmental education and gender role burdens among rural farmers of Northern Cross River State, Nigeria - Eneji, Chris-Valentine Ogar; Onnoghen, Nkanu Usang; Odama, Joseph; Diwa, Juliana Bebuo (International Journal of Climate Change Strategies and Management, 2020)
Purpose The purpose of this study is to examine the extent of climate change awareness among the rural farmers of Northern Cross River state, investigate the gender role analyzes of some daily routine activities carried out by these rural farmers, ascertain the difference in workload burden of the impacts of climate change between men and women, identify the strategies adopted by these rural farmers to mitigate the effects of climate change in their agricultural activities and investigate the roles Environmental Education (EE) can play in helping the rural farmers to design and adopt sustainable adaptation and mitigation strategies to reduce or completely eradicate their vulnerability to climate change effects. Design/methodology/approach The research design adopted for this study is the cross-sectional survey method. Five research questions guided the study. Two sets of instruments were used for data collection, a sample of 1,258 respondents (0.1%) were selected for the study. The researchers personally administered the instruments and collected the same back, two instruments were not properly filled, so they were rejected. Findings The finding of the study revealed that rural farmers have some level of climate change awareness, which they got from radio, newspapers, awareness campaigns, flyers, billboards, among others. Six out of the nine strategies listed were adopted by the rural farmers to mitigate climate change effects among these rural farmers. There is a significant difference in gender workload burden between women and male in the area, the result is positively skewed toward women, implying that the burden of workload for women increased over those of men. The result also shows that EE can influence their attitude toward climate change through awareness creation, knowledge provisions and also encourage members participation in climate change effect mitigation, prevention and adaptation. Research limitations/implications With this result, EE can be used as a tool for the creation of knowledge, awareness, attitude and encourage the participation of these rural farmers toward mitigating and prevention climate change effects among these rural farmers. It was recommended among others that deliberate policies should be designed to make EE help create the needed awareness on climate change, beginning from the causes, effects and mitigation strategies among rural farmers in their community. Practical implications Already, most Environmental Educators have been trained, the government should design and formulate practical policies to use them as extension agent on climate change effort to go to these rural communities and create the needed awareness, knowledge, skills and attitude to help them combat climate change effects including trees and cover crops planting and also re-introducing the use of irrigation agriculture in these farming communities. Social implications With the creation of awareness, social groups and individuals can also make a social investment from these activities and also improve their social capitals, thereby reducing social burdens and improving their living conditions within the rural settings. Originality/value This research is an original research paper from the effort. the purpose is to assess the extent of climate change awareness level and how the effects of climate change increase or reduces the burden of gender workload among rural farmers and the strategies which can be used by these rural farmers to prevent, mitigate and adapt to climate change effects and the roles EE can play. This study has an original value in the sense that in the course of the study, the study hardly saw articles on these specific variables in whole research, hence the resolve to assess these variables.
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; oa:keyword:environmental education; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T12503 Social Acceptance of Renewable Energy Innovation; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Application of Machine Learning Techniques to Delineate Homogeneous Climate Zones in River Basins of Pakistan for Hydro-Climatic Change Impact Studies - Nusrat, Ammara; Gabriel, Hamza Farooq; Haider, Sajjad; Ahmad, Shakil; Shahid, Muhammad; Jamal, Saad Ahmed (Applied sciences, 2020)
Climatic data archives, including grid-based remote-sensing and general circulation model (GCM) data, are used to identify future climate change trends. The performances of climate models vary in regions with spatio-temporal climatic heterogeneities because of uncertainties in model equations, anthropogenic forcing or climate variability. Hence, GCMs should be selected from climatically homogeneous zones. This study presents a framework for selecting GCMs and detecting future climate change trends after regionalizing the Indus river sub-basins in three basic steps: (1) regionalization of large river basins, based on spatial climate homogeneities, for four seasons using different machine learning algorithms and daily gridded precipitation data for 1975–2004; (2) selection of GCMs in each homogeneous climate region based on performance to simulate past climate and its temporal distribution pattern; (3) detecting future precipitation change trends using projected data (2006–2099) from the selected model for two future scenarios. The comprehensive framework, subject to some limitations and assumptions, provides divisional boundaries for the climatic zones in the study area, suitable GCMs for climate change impact projections for adaptation studies and spatially mapped precipitation change trend projections for four seasons. Thus, the importance of machine learning techniques for different types of analyses and managing long-term data is highlighted.
Keywords: C:Pakistan; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T10029 Climate Change and Variability Research; oa:topic:T10330 Hydrological Modeling and Water Resource Management; oa:topic:T10466 Numerical Weather Prediction Models; openalex:import; openalex:yes

Deep learning-based estimation of PV power plant potential under climate change: a case study of El Akarit, Tunisia - Othman, Afef Ben; Ouni, Ayoub El; Besbes, Mongi (Energy, Sustainability and Society, 2020)
Abstract Background Several climatologists and experts in the renewable energy field agree that GHI and DNI calculation models must be revised because of the increasingly unpredictable and powerful climatic disturbances. The construction of analytical mathematical models for the prediction of these disturbances is almost impossible because the physical phenomena relating to the climate are often complex. We raise the question over the current and future PV system’s sustainable energy production and whether climate disturbances will be affecting this sustainability and resulting in supply decline. Methods In this paper, we tried to use deep learning as a tool to predict the evolution of the future production of any geographic site. This approach can allow for improvements in decision-making concerning the implantation of solar PV or CSP plants. To reach this aim, we have deployed the databases of NASA and the Tunisian National Institute of Meteorology relating to the climatic parameters of the case study region of El Akarit, Gabes, Tunisia. In spite of the colossal amount of processed data that dates back to 1985, the use of deep learning algorithms allowed for the validation of the previously made estimates of the energy potential in the studied region. Results The calculation results suggested an increase in production as it was confirmed by the 2019 measures. The findings obtained from the case study region were reliable and seemed to be very promising. The results obtained using deep learning algorithms were similar to those produced by conventional calculation methods. However, while conventional approaches based on measurements obtained using hardware solutions (ground sensors) are expensive and very difficult to implement, the suggested new approach is cheaper and more convenient. Conclusions In the existence of a protracted controversy over the hypothetical effects of climate change, making advances in artificial intelligence and using new deep learning algorithms are critical procedures to strengthening conventional assessment tools of the production sites of photovoltaic energy and CSP plants.
Keywords: C:Tunisia; _z:class:countries; _z:class:themes; oa:keyword:pv power plant potential; 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:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Estimation of Thermal Comfort Parameters of Building Occupants Based on Comfort Index, Predicted Mean Vote and Predicted Percent of Dissatisfied People in the North- West Zone of Nigeria - Adekunle, Adebayo; Arowolo T.A; Adeyemi O.A; Kolawole O.A (2020)
Thermal comfort varies significantly between individuals and regions depending on factors such as activity level, clothing, space temperature and relative humidity. This study considers the estimation of thermal comfort parameters such as air temperature, mean radiant temperature, air velocity, emissivity of space, metabolic rates, and heat transfer coefficients to determine comfort index, predicted mean vote, and predicted percent of dissatisfied people. Several equipment were employed to measure thermal comfort parameters indoor of the buildings considered. Results show that Katsina state recorded the least overall comfort index when compared to the remaining states which was attributed to reduced air temperature and relative humidity recorded. Majority of the buildings considered have high mean radiant temperatures and high space diameters which suggests that occupants in this environment are most likely to experience some sort of discomfort especially during summer. Comparing all the thermal comfort of occupants based on Fanger theory, 33.3% felt hot, 26.7% felt warm, 20% felt slightly warm, 13.33% felt slightly cool, 6.7% felt cool, and 0% felt cold which indicates that occupants in this region and Geopolitical zone contend with more of heat than coldness.
Keywords: BE:LMIC; BE:RELEVANT; C:Nigeria; _z:class:countries; _z:class:themes; openalex:n:0; ⚠️ Invalid DOI; ⛔ No DOI found

Evaluating neutral, preferred and comfort range temperatures and computing adaptive equation for Kano region - Ali, Sani; Martinson, David; Al-Maiyah, Sura (2020)
As the international comfort standards may not be appropriate for all climates, it is imperative to evaluate the comfort requirements of indoor occupants in all regions of the world, particularly in the tropical regions where comprehensive standards are lacking. It is usual to find learning spaces in Nigerian higher institutions in which the thermal qualities do not meet the occupants’ requirements. Despite being in the tropics, where solar radiation is in abundance, Nigerian building industry professionals pay little attention to passive energy utilization. As part of an ongoing study on comfort in higher education facilities involving lecture theatres and laboratories in Bayero University, Kano, an IEQ field study was conducted in 6 learning environments by collecting a total of 1382 questionnaires in addition to physical measurements, covering a period of 10 months and cutting across all the three seasons. This paper examines only the thermal conditions of the university’s learning environments from which an adaptive thermal comfort equation, comfort temperature range, neutral and preferred temperatures are developed for the region. In addition to the measurements of air speed, air and radiant temperatures, relative humidity, a comfort survey was undertaken in the spaces from which activity levels and clothing insulations were obtained. Two different neutral temperatures were obtained for Kano based on operative and indoor running mean temperatures 27.4 °C and 28.1 °C respectively. Similarly a comfort zone of 22 °C to 32 °C was realised and found to be narrower than as recommended by one of the Nigerian standards. The method of calculation suggested by the ASHRAE 55-2013 and ISO-7730 were followed in determining the various comfort indices, while Griffiths’ method was used in obtaining the adaptive comfort equation. The results revealed that the adaptive equation using the weighted running mean outdoor air temperature had the highest coefficient of determination for the region, with approximate regression coefficient of 0.6, which is nearly twice those of ASHRAE 55 and EN15251, however the one based on the daily mean temperature is much closer. Results from the study indicate that subjects in naturally ventilated buildings in the region are comfortable at temperatures different from those suggested by ASHRAE 55 and ISO-7730 standards. The evaluated neutral and preferred temperatures as well as the comfort zone show that subjects are comfortable at up to 32 °C in naturally ventilated buildings in Kano region.
Keywords: C:Nigeria; openalex:n:0

DeepComfort: Energy-Efficient Thermal Comfort Control in Buildings Via Reinforcement Learning - Gao, Guanyu; Li, Jie; Wen, Yonggang (IEEE Internet of Things Journal, 2020)
Heating, ventilation, and air conditioning (HVAC) are extremely energy consuming, accounting for 40% of total building energy consumption. It is crucial to design some energy-efficient building thermal comfort control strategy which can reduce the energy consumption of the HVAC while maintaining the comfort of the occupants. However, implementing such a strategy is challenging, because the changes of the thermal states in a building environment are influenced by various factors. The relationships among these influencing factors are hard to model and are always different in different building environments. To address this challenge, we propose a deep-reinforcement-learning-based framework, DeepComfort, for thermal comfort control in buildings. We formulate the thermal comfort control as a cost-minimization problem by jointly considering the energy consumption of the HVAC and the occupants' thermal comfort. We first design a deep feedforward neural network (FNN)-based approach for predicting the occupants' thermal comfort and then propose a deep deterministic policy gradients (DDPGs)-based approach for learning the optimal thermal comfort control policy. We implement a building thermal comfort control simulation environment and evaluate the performance under various settings. The experimental results show that our approaches can improve the performance of thermal comfort prediction by 14.5% and reduce the energy consumption of HVAC by 4.31% while improving the occupants' thermal comfort by 13.6%.
Keywords: Buildings; Deep-reinforcement learning (DRL); Energy consumption; HVAC; Reinforcement learning; Thermal factors; Thermal sensors; _z:class:countries; _z:class:themes; heating; oa:keyword:buildings via reinforcement learning; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T11373 Effects of Sleep Deprivation and Fatigue on Performance; oa:topic:T11529 Refrigeration Systems and Technologies; openalex:n:1; openalex:yes; smart building; thermal comfort control; thermal comfort prediction; ventilation and air conditioning (HVAC)

STCMS: A Smart Thermal Comfort Monitor For Senior People - Katsarou, Katerina; Ounoughi, Chahinez; Mouakher, Amira; Nicolle, Christophe (2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2020)
Undoubtedly, the steady increase in the number of elderly people is not to be underestimated. These demographic changes call attention to new challenges regarding adequate aging-in-place strategies. Since the majority of the senior population spend up to 90% of their time indoors, appropriate and comfortable housing represents an important foundation for such strategies. In this respect, different types of data gathered from sensors, connected devices, and Internet of Things (IoT) technologies come to play an important role to support services for the elderly population in indoor environments. One of the aspects of concern is thermal comfort. In this paper, we introduce a new deep learning-based model framework named STCMS, that uses both Long-Short Term Memory (LSTM) and Deep Neural Networks (DNN) architectures, dedicated to predicting thermal comfort for elderly people. Experiments based on the publicly available dataset, show that our proposed models outperform the pioneering approaches of the literature on the agreed assessment metrics, particularly with an accuracy that varies between 80.29% to 88.16% using only internal and external temperatures data. The proposed approach can be used as a smart thermostat solution integrated into smart home ecosystems dedicated to elderly people. Thus, it would contribute simultaneously to improve their well-being and to reduce energy consumption and health costs.
Keywords: DNN-based architecture; Monitoring; Senior citizens; Sensors; Sociology; Statistics; Temperature sensors; Thermal comfort; Through-silicon vias; _z:class:countries; _z:class:themes; bi-directional LSTM; classification; elderly people; oa:keyword:smart thermal comfort monitor; oa:keyword: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:T11963 Impact of Nighttime Light Data on Various Fields; openalex:n:1; openalex:yes; prediction framework; sensor data; smart building; time-series

Dwelling Characteristics Influence Indoor Temperature and May Pose Health Threats in LMICs - Teare, June; Mathee, Angela; Naicker, Nisha; Swanepoel, Cheryl; Kapwata, Thandi; Balakrishna, Yusentha; Du Preez, David Jean; Millar, Danielle A.; Wright, Caradee Y. (Annals of Global Health, 2020)
Background: Shelter and safe housing is a basic human need that brings about a sense of ownership, selfsufficiency, and citizenship. Millions of people around the world live in inadequate dwellings in unhealthy areas, such as urban slums. These dwellings may experience indoor temperatures that impact inhabitants’ health. Indoor dwelling temperatures vary depending on many factors including geographic location, such as inland versus coastal. In an era of climate change, understanding how dwelling characteristics influence indoor temperature is important, especially in low- and middle-income countries, to protect health. Objective: To assess indoor temperature in low-cost dwellings located in a coastal setting in relation to dwelling characteristics. Methods: Indoor temperature and relative humidity loggers were installed from 1 June 2017 to 15 May 2018 in 50 dwellings in two settlements in a coastal town on the east coast of South Africa. Ambient outdoor temperature data were obtained from the national weather service, indoor temperature data were converted into apparent temperature, and heat index calculations were made to consider possible heat-health risks. A household questionnaire and dwelling observation assessment were administered. A mixed-effects linear regression model was constructed to consider the impact of dwelling characteristics on indoor apparent temperature. Findings: Among 17 dwellings with all data sets, indoor temperatures were consistently higher than, and well correlated (r = 0.92) with outdoor temperatures. Average differences in indoor and outdoor temperatures were about 4°C, with statistically significant differences in percentage difference of indoor/outdoor between seasons (p < 0.001). Heat indices for indoor temperatures were exceeded mostly in summer, thereby posing possible health risks. Dwellings with cement floors were statistically significantly cooler than any other floor type across all seasons. Conclusions: Low-cost dwellings experienced temperatures indoors higher than outdoor temperatures in part due to floor type. These results help inform interventions that consider housing and human health (n = 289).
Keywords: C:South Africa; _z:class:countries; _z:class:themes; oa:keyword:characteristics influence indoor temperature; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10190 Health Effects of Air Pollution; oa:topic:T11244 Impact of Climate Change on Human Health; openalex:n:1; openalex:yes

Noise Levels in Malaysia Primary Schools: Are We Meeting the International Standards? - Ismail, Noraidah; Karim, Khairani; Ismail, Noraidah Binti; Othman, Nur Ain (INTERNATIONAL JOURNAL OF ALLIED HEALTH SCIENCES, 2020)
Noise is increasingly becoming a problem in schools and affects the audibility of speech. The effects of noise hamper learning opportunities for students. Noisy classrooms affect students’ academic performance and wellbeing. Studies have shown that children perform more poorly in noisy situations compared to adults. The current study was done to measure noise levels in classrooms in primary schools in Kuantan. A total of 31 classrooms from eight residential primary schools were selected as the place of study. The noise levels were measured using a sound level meter (SLM) in occupied and unoccupied conditions. On-site observations and checking were done and documented in each school and classroom. The results showed that the noise levels of occupied and unoccupied classrooms were higher than the values recommended by the World Health Organization (WHO) which are 35 dB(A) and 55 dB(A) respectively. The findings showed that the measured noise levels in the classrooms were high enough that it might interfere with the effectiveness of teaching and learning among students and teachers. The source of noise was mainly from the students’ activities in the classes. The current study discusses a few possible suggestions to improve the classroom acoustics.
Keywords: BE:LMIC; BE:RELEVANT; C:Malaysia; _z:class:countries; _z:class:themes; evidence_review_2; ⛔ No DOI found

Retraction: Perception and Knowledge on Climate Change: A Study of Private University Students in Bangladesh - Amjad, Karisma (Environmental and Earth Sciences Research Journal, 2020)
Keywords: C:Bangladesh; _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; openalex:import; openalex:yes

Retraction: Perception and Knowledge on Climate Change: A Study of Private University Students in Bangladesh - Amjad, Karisma (Environmental and Earth Sciences Research Journal, 2020)
Keywords: C:Bangladesh; _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; openalex:import; openalex:yes

Changing climate change: The carbon budget and the modifying-work of the IPCC. - Lahn, Bard (Sage Journals, 2020)
Keywords: _z:class:countries; _z:class:themes; oa:keyword:carbon budget; oa:keyword:climate change; oa:keyword:ipcc; oa:sdg:13 Climate action; oa:topic:T10119 Sustainability Transitions and Resilience in Social-Ecological Systems; oa:topic:T10471 Economic Implications of Climate Change Policies; oa:topic:T12615 Geoengineering and Climate Ethics; openalex:n:1; openalex:yes

What Stymies Action on Climate Change? Religious Institutions, Marginalization, and Efficacy in Kenya? - Keough School - University of Notre Dame - Honig, Lauren; Smith, Amy Erica; Bleck, Jaimie (2020)
Keywords: C:Kenya; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:kenya; oa:keyword:religious institutions; oa:topic:T13456 Role of Faith-Based Organizations in Development and Social Services; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

What Stymies Action on Climate Change? Religious Institutions, Marginalization, and Efficacy in Kenya? - Keough School - University of Notre Dame - Honig, Lauren; Smith, Amy Erica; Bleck, Jaimie (2020)
Keywords: _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:kenya; oa:keyword:religious institutions; oa:topic:T13456 Role of Faith-Based Organizations in Development and Social Services; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Perceptions about climate change among university students in Bangladesh - Haq, Shah Md Atiqul; Ahmed, Khandaker Jafor (Natural Hazards, 2020)
Keywords: C:Bangladesh; _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; openalex:import; openalex:yes

Understanding Women perception of promoting education and policy initiatives in regards to climate change in Rural areas of Sindh, Pakistan - Memon, Falak Shad; Amjad, Shahid (Journal of education and educational development, 2020)
Climate change is inevitable issue of modern world. Women often share the greater burden of all the impacts due to their lower knowledge base that leads to their limited adaptive capacity. Studies suggests that knowledge and education can result in better resilience and sustainable development. It helps in encouraging changes in attitude and behaviors that help them adapt to climate changes. This paper aims to explore the understanding of local rural women regarding current climate change education perception and try to gauge their knowledge of the policy initiatives that have been taken in this areas. A qualitative study was chosen to explore the current understanding for this study. The interviews of 20 women participants from rural areas of Sindh were taken. The study finding reveled that there is a lack of awareness regarding any policy initiatives and education programs, the main reasons for this may be lower literacy level and cultural hindrance they face in developing knowledge. The Lack of gender inclusiveness at all the levels was also highlighted as key issue.
Keywords: C:Pakistan; _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:T13839 Volunteer Tourism and Global Development Impacts; openalex:import; openalex:yes

Climate Change at the International School of Kenya - Singh, Hazel (FORUM, 2020)
This article is about the efforts of Students for the Environment, which operates at the International School of Kenya. It discusses their past successes, their current plans and what they hope for the future. It includes their operations, as well as the impact they have been able to have on their school community. It also introduces some of the ways they plan to positively affect their environment, mitigate negative impacts on their environment and how it contributes to climate change.
Keywords: C:Kenya; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:kenya; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Analyzing capacity of a consumer-grade infrared camera in South Africa for cost-effective aerial inspection of building envelopes - Vorajee, Naadir; Mishra, Asit; Mishra, Amit (Frontiers of Architectural Research, 2020)
Prohibitive equipment cost and certain export regulations are the major obstacles to the widespread adoption of infrared (IR) thermography when evaluating building envelopes. In this work, we propose the use of an affordable and easily available camera as a first step of making the technology accessible. Combined with image post-processing, we hypothesize that a low-cost, low-resolution, and consumer-grade device can provide an economic alternative for the periodic evaluation of building envelopes. Following a market survey, the Seek Thermal Compact (STC) was chosen for evaluation. The STC was able to accurately measure the temperature of surfaces and distinguish small thermal anomalies (3 mm in diameter), and the IR images can be post-processed to reasonably estimate the anomaly areas. The STC was particularly effective when images were taken within 1.75 m from the surface. The 1.75 m distance did not pose a challenge in this study, as the goal was to mount the selected IR camera on an unmanned aerial vehicle for the surveys. The small size and weight of the STC were also useful. The results from the analysis of the capability of the STC and the image post-processing techniques may help form the basis of future investigations aiming at lowering the cost of building thermographic surveys.

[WITHDRAWN] Perception and Knowledge on Climate Change: A Study of Private University Students in Bangladesh - Amjad, Karisma (Environmental and Earth Sciences Research Journal, 2020)
Keywords: C:Bangladesh; _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; openalex:import; openalex:yes

[WITHDRAWN] Perception and Knowledge on Climate Change: A Study of Private University Students in Bangladesh - Amjad, Karisma (Environmental and Earth Sciences Research Journal, 2020)
Keywords: C:Bangladesh; _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; openalex:import; openalex:yes

Apraisal of Geography Teachers’ Knowledge on the Relevance of Secondary School Geography Curriculum Relating to Climate Change in Nigeria - Oladapo, Samuel Olanrewaju (2020)
Evidence shows that climate change is experienced all over the globe. Climate change is defined as a change in the state of the climate that can be identified and measured by changes in the mean and/or variability of its properties Climate change can persist over a long time, usually over decades and much longer and leads to extremes of weather conditions such as temperature, wind, rainfall, and humidity. Geography curriculum is basically on climate and environment generally The main purpose of the study is to explore geography teacher’s knowledge, attitude and the practices relating to climate change in Nigeria. Questionnaire on the knowledge of climatic change among geography was used as the main instrument for data collection. It was designed to elicit information on the basis of research questions set for this study. A total number of 60 geography teachers were used as the sample size. Descriptive statistics such as simple percentages and frequency counts were used in the analysis of the research data collected. The findings from the research work show among others that the teachers communicate effective on the topics relate to climate change. It also reveals that most teachers have knowledge of the contents of geography curriculum. Geography teachers according to the findings indicates the readiness of the teachers to continue teaching the topics relating to climate change. It is therefore, recommends that topics on climate change be made compulsory for students at all level of education.
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; oa:keyword:geography teachers; oa:keyword:secondary school geography curriculum; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T14482 Innovations in Education Technology and Pedagogy; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Climate Change, Vulnerability, and Disability: Do We “Leave No One Behind”? - Mörchen, Manfred; Ocasiones, Erly; Relator, Rebie; Lewis, David (Disaster Medicine and Public Health Preparedness, 2020)
An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.
Keywords: _z:class:countries; openalex:import; openalex:yes

Understanding Women’s Perceptions of Promoting Education and Policy Initiatives about Climate Change in Rural Areas of Sindh, Pakistan - Memon, Falak Shad (Social Science Research Network, 2020)
Climate change is an inevitable issue of modern world. Women often face greater risk and share greater burden due to their limited adaptive capacity. Studies suggest that knowledge and education can result in better resilience and sustainable development. Climate change education encourages changes in attitude and behavior that leads to better adaptability to climate changes. This paper aims to explore the local women’s understanding of climate change education and policy initiatives taken in rural areas. A qualitative exploratory study was chosen for this study. The data collection methodology was through qualitative process. 20 women participants from rural areas of Sindh were interviewed. The finding reveled that women in rural area of Sindh have very low understanding and knowledge of any climate change educational program conducted in their regions. The lack of awareness regarding any climate change policy initiatives was also observed. This lack of awareness was attributed to their low literacy rate, lack of gender inclusiveness and cultural barriers and hindrances. The understanding of these factors at all level of policy making is key for successful climate change education policy.
Keywords: C:Pakistan; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; openalex:import; openalex:yes; ⛔ No DOI found

Constraints and contributing factors to implementing Climate Change Education as an emerging curriculum area at the basic education level in Cape Coast Metropolis, Ghana - Odoom, Michael (2020)
Keywords: C:Ghana; _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

Raising awareness of climate change issues in Nigeria through education for policy and practice - Abdullahi, Nimota Jibola Kadir (Journal Of Research, Policy & Practice of Teachers & Teacher Education, 2020)
The objective of this study is to raise awareness through education in mitigating of climate issues. Also, to finding out relationship between resilience teaching and learning and mitigating of climate change issues in North-central zone, Nigeria. The study investigated managing education toward mitigating climate change in North-central zone, Nigeria. Stratified random sampling technique was used to select 375 head teachers and 384 teachers in public primary schools in North-central zone, Nigeria. Questionnaire title “Managing Education Toward Mitigating Climate Change Issues Questionnaire (METACCIQ) was used to collect data for the study and analysed using descriptive statistics and t-test analysis. The results shown that there is no significant difference between raising awareness, resilience teaching and learning and mitigating of climate change issues in Nigeria. It was recommended that Government, school administrators, teachers and stakeholders should embark on raising awareness on climate change issues to encourage changes in young people attitudes and behavior. Also, resilience teaching and learning should be made interesting in order to increases climate literacy among learners through education.
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:climate change issues; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T14482 Innovations in Education Technology and Pedagogy; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Raising awareness of climate change issues in Nigeria through education for policy and practice - Abdullahi, Nimota Jibola Kadir (Journal Of Research, Policy & Practice of Teachers & Teacher Education, 2020)
The objective of this study is to raise awareness through education in mitigating of climate issues. Also, to finding out relationship between resilience teaching and learning and mitigating of climate change issues in North-central zone, Nigeria. The study investigated managing education toward mitigating climate change in North-central zone, Nigeria. Stratified random sampling technique was used to select 375 head teachers and 384 teachers in public primary schools in North-central zone, Nigeria. Questionnaire title “Managing Education Toward Mitigating Climate Change Issues Questionnaire (METACCIQ) was used to collect data for the study and analysed using descriptive statistics and t-test analysis. The results shown that there is no significant difference between raising awareness, resilience teaching and learning and mitigating of climate change issues in Nigeria. It was recommended that Government, school administrators, teachers and stakeholders should embark on raising awareness on climate change issues to encourage changes in young people attitudes and behavior. Also, resilience teaching and learning should be made interesting in order to increases climate literacy among learners through education.
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:climate change issues; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T14482 Innovations in Education Technology and Pedagogy; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Pandemics, climate change, and disability related to SCI - Alexander, Marcalee (Spinal Cord Series and Cases, 2020)
Keywords: _z:class:countries; openalex:import; openalex:yes

Experimental evaluation of the effect of body mass on thermal comfort perception - Lipczyńska, Aleksandra; Mishra, Asit (2020)
Globally 39% of adults are overweight, 13% are obese, and 9% are underweight. Current thermal comfort standards, catering to the normal weight occupant, may hence be ignoring nearly 60% of the population. This could have significant comfort, productivity and energy implications. We performed a climate chamber study of the thermal response of 76 subjects in all the body mass index (BMI) categories, from 17 and 37 kg/m2. Every participant underwent the same four sessions at average operative temperatures of 19.9, 22.4, 25.3, and 28.2 °C. We obtained subjective feedback from participants on their thermal sensation and preference, humidity sensation and preference, thermal comfort rating, and air quality perception. We also measured skin temperature, blood pressure, pulse rate, blood glucose level, weight, height, waist and hip circumferences and body composition. Overall, we did not find significant impact of BMI on the thermal sensation. However, the overweight and obese participants preferred lower temperature compared to normal weight and underweight participants which may indicate practical implication for control strategies.

Carbon dioxide and its effect on occupant cognitive performance: A literature review - Mishra, Asit; Wargocki, Pawel; Tham, K. (2020)
Building ventilation standards use indoor carbon dioxide (CO2) levels as a proxy for air quality, acknowledging that at typical indoor levels, CO2 itself is not a pollutant. By 2100, outdoor CO2 levels may reach 900 ppm. With current ventilation standards, that would nearly double the levels of chronic, indoor CO2 exposure, raising concerns for its potential effect on occupants. In the last 15 years, an effort to gain this understanding, particularly regarding cognitive performance, has been made by 11 studies. They focused on the effect of elevated CO2 while minimizing exposure to other indoor pollutants. Five of the studies found an effect of CO2 exposure on performance and six studies did not. Four studies found an effect on cognitive performance under 2000 ppm exposure. But three of these four studies used the same proprietary, closed-source tool to measure cognitive performance. Physiological effects – like blood pressure, heart rate changes – were found only at exposures over 2500 ppm and were not always associated with cognitive decrements. These discrepancies could have been due to differences in measures used and individual differences in response to CO2. Future works should adopt a more in-depth and holistic approach.

Long-term monitoring for indoor climate assessment – The association between objective and subjective data - Loomans, M.G.L.C.; Mishra, Asit; Kooi, L. (Building and Environment, 2020)
To enhance indoor climate monitoring and indoor climate assessment, a better understanding of the collection and analysis of monitored data, over longer time periods, is necessary. The goal of this work is to improve long-term monitoring in order to arrive at better performance of building indoor climate, with the perception of occupants in mind. Indoor climate was monitored in an open plan office lay-out in two Case study office buildings, during two periods each. Indoor climate data was obtained at different resolution levels (locations) in the work environment. Additionally, information from the occupants was gathered using two methods: short, right-now surveys and wrist skin temperature measurements (biosensed data). In total, 160 subjective responses were obtained. Outcomes showed that measurement at a specific resolution level is required for representativeness. For the Case studies, this level depended on the office lay-out and could not be generalized. Correlations between perceived thermal comfort and objective data, either of the indoor climate or the biosensed data were moderate at best. Better applicability of the data was found when using it in combination with classification algorithms, obtaining predictions of higher accuracy (close to 65% for the group under investigation).

Investigating Pre-service Science, Technology, and Mathematics Teachers’ Attitudes toward Climate Change in Nigeria - Oladipo, A.J.; Awofala, Adeneye O. A.; Osokoya, Modupe M. (Journal of Educational Sciences, 2020)
The study investigated attitudes toward climate change among 480 pre-service science, technology, and mathematics (STM) teachers from four higher institutions of learning in Southwest, Nigeria using the quantitative research method within the blueprint of the descriptive survey design. Data collected using climate change attitude survey were analysed using the descriptive statistics of percentages, mean, and standard deviation and inferential statistics of factor analysis and independent samples t-test. Findings revealed that attitudes toward climate change assessed by the climate change attitude survey was a multi-dimensional construct (perceived beliefs component and intentions component). Gender differences in attitudes toward climate change among pre-service STM teachers were not significant even at the subscale level of perceived beliefs and intentions. In addition, the pre-service STM teachers showed a moderate level of attitudes toward climate change. In conclusion, there is need for a concerted effort to protect the earth from increased weather variability and the Nigerian government at all levels has both international and domestic commitments to reduce greenhouse gas emissions to ensuring sustainable human development. Future studies in Nigeria and elsewhere should conduct a confirmatory factor analysis on the climate change attitude survey to further generalise the findings of this study.
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

The relationships between classroom air quality and children’s performance in school - Wargocki, Pawel; Porras-Salazar, Jose Ali; Contreras-Espinoza, Sergio; Bahnfleth, William (Building and Environment, 2020)
The data from published studies were used to derive systematic relationships between learning outcomes and air quality in classrooms. Psychological tests measuring cognitive abilities and skills, school tasks including mathematical and language-based tasks, rating schemes, and tests used to assess progress in learning including end-of-year grades and exam scores were used to quantify learning outcomes. Short-term sick leave was also included because it may influence progress in learning. Classroom indoor air quality was characterized by the concentration of carbon dioxide (CO2). For psychological tests and school tasks, fractional changes in performance were regressed against the average concentrations of CO2 at which they occurred; all data reported in studies meeting the inclusion criteria were used to derive the relationship, regardless of whether the change in performance was statistically significant at the examined levels of classroom air quality. The analysis predicts that reducing CO2 concentration from 2,100 ppm to 900 ppm would improve the performance of psychological tests and school tasks by 12% with respect to the speed at which the tasks are performed and by 2% with respect to errors made. For other learning outcomes and short-term sick leave, only the relationships published in the original studies were available. They were therefore used to make predictions. These relationships show that reducing the CO2 concentration from 2,300 ppm to 900 ppm would improve performance on the tests used to assess progress in learning by 5% and that reducing CO2 from 4,100 ppm to 1,000 ppm would increase daily attendance by 2.5%. These results suggest that increasing the ventilation rate in classrooms in the range from 2 L/s-person to 10 L/s-person can bring significant benefits in terms of learning performance and pupil attendance; no data are available for higher rates. The results provide a strong incentive for improving classroom air quality and can be used in cost-benefit analyses.
Keywords: BE:RELEVANT; Carbon dioxide; Children; Cognitive performance; Elementary schools; Learning; _z:class:countries; _z:class:themes; evidence_review_2; oa:keyword:classroom air quality; oa:sdg:4 Quality education; oa:topic:T10190 Health Effects of Air Pollution; oa:topic:T11002 Indoor Air Quality and Health Effects; oa:topic:T11692 Effects of Noise Pollution on Health and Well-being; openalex:n:1; openalex:yes; type:meta-analysis

The relationships between classroom air quality and children’s performance in school - Wargocki, Pawel; Porras-Salazar, Jose Ali; Contreras-Espinoza, Sergio; Bahnfleth, William (Building and Environment, 2020)
The data from published studies were used to derive systematic relationships between learning outcomes and air quality in classrooms. Psychological tests measuring cognitive abilities and skills, school tasks including mathematical and language-based tasks, rating schemes, and tests used to assess progress in learning including end-of-year grades and exam scores were used to quantify learning outcomes. Short-term sick leave was also included because it may influence progress in learning. Classroom indoor air quality was characterized by the concentration of carbon dioxide (CO2). For psychological tests and school tasks, fractional changes in performance were regressed against the average concentrations of CO2 at which they occurred; all data reported in studies meeting the inclusion criteria were used to derive the relationship, regardless of whether the change in performance was statistically significant at the examined levels of classroom air quality. The analysis predicts that reducing CO2 concentration from 2,100 ppm to 900 ppm would improve the performance of psychological tests and school tasks by 12% with respect to the speed at which the tasks are performed and by 2% with respect to errors made. For other learning outcomes and short-term sick leave, only the relationships published in the original studies were available. They were therefore used to make predictions. These relationships show that reducing the CO2 concentration from 2,300 ppm to 900 ppm would improve performance on the tests used to assess progress in learning by 5% and that reducing CO2 from 4,100 ppm to 1,000 ppm would increase daily attendance by 2.5%. These results suggest that increasing the ventilation rate in classrooms in the range from 2 L/s-person to 10 L/s-person can bring significant benefits in terms of learning performance and pupil attendance; no data are available for higher rates. The results provide a strong incentive for improving classroom air quality and can be used in cost-benefit analyses.
Keywords: Carbon dioxide; Children; Cognitive performance; Elementary schools; Learning; evidence_review

Climate change and the fossil fuel divestment movement in Canadian higher education: The mobilities of actions, actors, and tactics - Maina, Naomi Mumbi; Murray, Jaylene; McKenzie, Marcia (Journal of Cleaner Production, 2020)
Situated within the broader climate justice movement, the fossil fuel divestment movement calls for both public and private divestment of financial holdings from fossil fuel companies. This paper examines the extent of fossil fuel divestment campaigns at higher education institutions across Canada, examining key actions and tactics through which campaigns are initiated and mobilized, as led by students, faculty, alumni, and climate justice organizations. Findings indicate that out of 220 accredited Canadian universities and colleges, there are 38 active divestment campaigns and 6 institutions that have committed to varying degrees of divestment. Tactics used in these campaigns include signing of petitions, sit-ins, rallies, and protests, facilitated through face-to-face and online platforms. Findings revealed significant borrowing of actions and tactics among campaign actors, including the use of branding and messaging from international environmental organizations, such as 350.org. This research contributes to scholarly knowledge on how higher education divestment movements and related campaigns for institutional change can influence how sustainability and climate change are addressed. Actors can build on this knowledge to develop sustained collaborative systems to address current and future challenges across institutions and in society at large.
Keywords: C:Canada; _z:class:countries; _z:class:themes; oa:keyword:canadian higher education; oa:keyword:fossil fuel divestment movement; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T11488 Perceptions and Communication of Climate Change; oa:topic:T11835 Sustainability Education in Higher Education Institutions; openalex:import; openalex:yes

Effects of Classroom Environment on Learning - Blaker, Andrew; Andrew, Blaker (甲南大学マネジメント創造学部HSMR編集委員会, 2020)
This paper introduces research around carbon dioxide, temperature and their effects on student learning in the classroom. It is shown that carbon dioxide has a negative effect on students’ cognitive performance, but that increasing the rate of ventilation ameliorates these effects. The negative effect on student motivation of high temperatures in the classroom is also introduced. The paper concludes that an investigation into student learning environments of each campus should be undergone to establish the possible effects that these issues may be having on students.
Keywords: BE:RELEVANT; _z:class:countries; _z:class:themes

Effects of Classroom Environment on Learning - Blaker, Andrew; Andrew, Blaker (甲南大学マネジメント創造学部HSMR編集委員会, 2020)
This paper introduces research around carbon dioxide, temperature and their effects on student learning in the classroom. It is shown that carbon dioxide has a negative effect on students’ cognitive performance, but that increasing the rate of ventilation ameliorates these effects. The negative effect on student motivation of high temperatures in the classroom is also introduced. The paper concludes that an investigation into student learning environments of each campus should be undergone to establish the possible effects that these issues may be having on students.
Keywords: BE:RELEVANT; _z:class:countries; _z:class:themes; evidence_review

A field study of the individual and combined effect of ventilation rate and lighting conditions on pupils’ performance - Hviid, Christian A.; Pedersen, Christian; Dabelsteen, Kent Helmann (Building and Environment, 2020)
A field lab study was conducted to determine how much the indoor climate parameters, ventilation and lighting, influence children's academic abilities. The study involved 92 children, aged 10–12 years, who over four weeks answered a questionnaire and three different performance tests, which measured their processing speed, concentration, logical reasoning and math solving abilities. An experimental design was constructed to test the effect of changing the lighting from constant warm light with a maintained correlated colour temperature average of 2900 K and lighting level of 450 lux to a dynamic cool light of 4900 K and 750 lux. The change was tested at both low (3.9 l/s per person) and high ventilation rate (10.6 l/s per person). The results showed that processing speed (6.6%, P < 0.001), concentration (8.3%, P < 0.001) and math skills (11.8%, P < 0.006), improved the most in the combined scenario with high ventilation rate and dynamic cool lighting. The logical reasoning test did not show any significant changes. The questionnaire results of the pupils' perception of the indoor environment suggested that they were satisfied in general, but the indoor environmental changes had only very limited effect on how they perceived the classroom. The combination of dynamic lighting and increased ventilation rate indicated a boosted positive impact on the speed and concentration of the children which means that future renovations would benefit from a holistic design including both of these factors.
Keywords: Indoor climate; Lighting; Productivity; Schools; Ventilation; _z:class:countries; _z:class:themes; evidence_review_2; oa:keyword:lighting conditions; oa:keyword:ventilation rate; oa:sdg:13 Climate action; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10692 Impact of Urban Green Space on Public Health; oa:topic:T12950 Learning Environments in Education; openalex:n:1; openalex:yes

The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: energy implications of AI-based thermal comfort controls - Ngarambe, Jack; Yun, Geun Young; Santamouris, Mat (Energy and Buildings, 2020)
Buildings consume about 40 % of globally-produced energy. A notable amount of this energy is used to provide sufficient comfort levels to the building occupants. Moreover, given recent increases in global temperatures as a result of climate change and the associated decrease in comfort levels, providing adequate comfort levels in indoor spaces has become increasingly important. However, striking a balance between reducing building energy use and providing adequate comfort levels is a significant challenge. Conventional control methods for indoor spaces, such as on/off, proportional-integral (PI), and proportional-integral-derivative (PID) controllers, display significant instabilities and frequently overshoot thermostats, resulting in unnecessary energy use. Additionally, conventional building control methods rarely include comfort regulatory schemes. Consequently, recent research efforts have focused on the use of advanced artificial intelligence (AI) methods to optimize building energy usage while maintaining occupant thermal comfort. We present a review of the current AI-based methodologies being used to enhance thermal comfort in indoor spaces. we focus on thermal comfort predictive models using diverse machine learning (ML) algorithms and their deployment in building control systems for energy saving purposes. We then discuss gaps in the existing literature and highlight potential future research directions.
Keywords: Artificial intelligence (AI); Comfort control; Machine learning (ML); Predictive control; Predictive modeling; _important; _z:class:countries; _z:class:themes; oa:keyword:thermal comfort; 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

Towards capacity building of media and awareness of public and students to develop strong science-policy communication on climate change in Pakistan (2020)
Keywords: C:Pakistan; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T11488 Perceptions and Communication of Climate Change; openalex:import; openalex:yes

Integrating social learning into climate change adaptation public policy cycle: Building upon from experiences in Brazil and the United Kingdom - Nicolletti, Mariana; Maschietto, Fernanda; Moreno, Thais (Environmental Development, 2020)
This paper outlines good practices and serves as a guide to promote Social Learning in the elaboration and implementation processes of public policies for climate change adaptation at a local level. It is based on a multiple-case study covering 18 experiences from the United Kingdom and Brazil, an analysis of existing research about the contributions of Social Learning to socioenvironmental governance and public policies regarding wicked problems, as well as, empirical information collected during workshops held as part of the development of the AdaptaClima Platform. From the literature review, key aspects of Social Learning were identified, such as active participation; co-production of knowledge and development of capacities; iterative reflection and action. These were compared with four phases of the adaptation to climate change public policy implementation cycle [i) preparation and engagement; ii) analysis of impacts and vulnerabilities; iii) planning; iv) implementation and monitoring] and used to analyse the empirical information gathered. The results bring practical examples of how to include key Social Learning aspects in each phase. The findings may apply to different contexts, but are especially useful to developing countries.
Keywords: C:Brazil; C:United Kingdom; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:climate change adaptation; oa:sdg:13 Climate action; oa:topic:T10119 Sustainability Transitions and Resilience in Social-Ecological Systems; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T14147 Living Labs in Open Innovation Networks; openalex:import; openalex:yes

A social learning and transition perspective on a climate change project in South Africa - Scholz, Geeske; Methner, Nadine (Environmental Innovation and Societal Transitions, 2020)
The agricultural sector of the Western Cape is highly affected by climate change and thus requires fundamental change to move to a more resilient path. We analyze the development of a climate change plan to obtain a better understanding of what is needed to make such a strategic intervention meaningful in terms facilitating a sustainability transition. We use the concept of transition arena to understand how group composition and processes facilitated or hindered structural change, and apply social learning theory to uncover learning processes and outcomes for whether capacity and momentum for moving towards a more climate resilient sector were created. Commitment on the part of project members created trust in the project and vice versa, while the ongoing involvement of governmental actors was key for creating capacities and commitment for change. The limited participation of niche actors may have hampered the ability to identify more innovative development pathways.
Keywords: C:South Africa; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:climate change project; oa:keyword:social learning; oa:topic:T10119 Sustainability Transitions and Resilience in Social-Ecological Systems; oa:topic:T10439 Adaptation to Climate Change in Agriculture; oa:topic:T11810 System Dynamics Modeling and Applications; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Students’ Perception on Causes and Consequences of Climate Change in Public Universities of Ethiopia - Bazezew, Arega; Neka, Mulugeta; Belay, Meherte (2020)
Climate change is impacting socioeconomic and biophysical environments at both Global and local scales. This paper presents the results of the assessment study of student perception on the information sources, occurrences, causes, impacts and solutions of climate change in the public universities of Ethiopia. A questionnaire survey was conducted on a total of 357 university students attending undergraduate and postgraduate courses to generate the required data. The data gathered in this way was analyzed using descriptive and inferential statistics. The results indicated that over 57% of the students get climate change information from different sources. The main climate change information sources identified by the students include television, radio, friends, internet, government reports and school teachers. Among these, teachers are the major (82%) of the studied students. Over 60% of the students reported that they do not have sufficient knowledge about climate change. Giving special concern to climate change information, obeying the laws of nature, limited interference in nature, developing awareness among the public and adopting safe industrial environments are suggested solutions to minimize the hazards of climate change. It is suggested that state agencies should design ways to deliver climate information to the wider public so as to develop awareness on the causes and consequences of climate change among the public. Local agencies and land users need also to adhere with the natural laws and adapt proper interferences in the local natural environment.
Keywords: C:Ethiopia; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:sdg:13 Climate action; oa:topic:T11488 Perceptions and Communication of Climate Change; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Students’ Perception on Causes and Consequences of Climate Change in Public Universities of Ethiopia - Bazezew, Arega; Neka, Mulugeta; Belay, Meherte (2020)
Climate change is impacting socioeconomic and biophysical environments at both Global and local scales. This paper presents the results of the assessment study of student perception on the information sources, occurrences, causes, impacts and solutions of climate change in the public universities of Ethiopia. A questionnaire survey was conducted on a total of 357 university students attending undergraduate and postgraduate courses to generate the required data. The data gathered in this way was analyzed using descriptive and inferential statistics. The results indicated that over 57% of the students get climate change information from different sources. The main climate change information sources identified by the students include television, radio, friends, internet, government reports and school teachers. Among these, teachers are the major (82%) of the studied students. Over 60% of the students reported that they do not have sufficient knowledge about climate change. Giving special concern to climate change information, obeying the laws of nature, limited interference in nature, developing awareness among the public and adopting safe industrial environments are suggested solutions to minimize the hazards of climate change. It is suggested that state agencies should design ways to deliver climate information to the wider public so as to develop awareness on the causes and consequences of climate change among the public. Local agencies and land users need also to adhere with the natural laws and adapt proper interferences in the local natural environment.
Keywords: _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:sdg:13 Climate action; oa:topic:T11488 Perceptions and Communication of Climate Change; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Fatalism, Climate Resiliency Training and Farmers’ Adaptation Responses: Implications for Sustainable Rainfed-Wheat Production in Pakistan - Mahmood, Nasir; Arshad, Muhammad Umair; Kaechele, Harald; Shahzad, Muhammad Faisal; Ullah, Ayat; Mueller, Klaus (Sustainability, 2020)
Climate change is a severe threat to the agricultural sector in general and to rainfed farming in particular. The aim of this study was to investigate the factors that can potentially affect the adaptation process against climate change. This study focused on wheat farmers and farming systems in the rainfed agroecological zone of Pakistan. Farmers’ data related to climate change fatalism, the availability of climate-specific extension services, socioeconomic and institutional variables, and farm characteristics were collected. A logit model to assess farmers’ decisions to adopt an adaptation measure and a multinomial logit model to assess their choice of various adaptation measures were used. The results showed that fatalistic farmers were unlikely to implement climate change adaptation measures. The variables related to the climate-specific extension services, including farmers’ participation in training on climate-resilient crop farming and the availability of mobile communication-based advisory services, had highly significant and positive impacts on farmers’ decisions and their choice of adaptation measures. Input market access and tractor ownership also had positive and significant impacts on farmers’ decisions to adapt and their choice of adaptation measures. This study highlights the need to improve rainfed-wheat farmers’ education levels to change their fatalistic attitudes towards climate change. Furthermore, government action is needed to provide climate-specific extension services to ensure sustainable production levels that will ultimately lead to food and livelihood security under a changing climate.
Keywords: C:Pakistan; _z:class:countries; _z:class:themes; oa:keyword:climate resiliency training; oa:topic:T10367 Agricultural Innovation and Livelihood Diversification; oa:topic:T10439 Adaptation to Climate Change in Agriculture; oa:topic:T11886 Risk Management and Vulnerability in Agriculture; openalex:import; openalex:yes

Temporary migration and climate variation in eastern Africa - Mueller, Valerie; Sheriff, Glenn; Dou, Xiaoya; Gray, Clark (World Development, 2020)
Africa is likely to experience warming and increased climate variability by the late 21st century. Climate extremes have been linked to adverse economic outcomes. Hence, adaptation is a key component of the United Nations Framework Convention on Climate Change agreements and development assistance. Effective climate adaptation policy requires an understanding of how temperature and rainfall variability affect migration patterns. Yet, how individuals in developing countries manage climate variation is poorly understood, especially in Africa. Combining high-resolution climate data with panel micro-data on migration, labor participation, and demographics, we employ regression analysis to assess temporary migration responses to local temperature and precipitation anomalies in four East African countries. We find that climate impacts are most pronounced in urban areas, with a standard deviation temperature increase and rainfall decrease leading to respective 10 and 12 percent declines in out-migration relative to mean values. Evidence from other labor market outcomes suggests that urban out-migration is not associated with reduced local employment opportunities. Instead, declines in urban out-migration appear to coincide with negative local climate employment impacts. These results challenge the narrative that temporary out-migration serves as a safety valve during climate extremes and that climate change will most strongly affect out-migration rates from rural areas in developing countries.
Keywords: openalex:cites; openalex:import

A topography of climate change research - Callaghan, Max; Minx, Jan C.; Forster, Piers M. (Nature Climate Change, 2020)
The massive expansion of scientific literature on climate change1 poses challenges for global environmental assessments and our understanding of how these assessments work. Big data and machine learning can help us deal with large collections of scientific text, making the production of assessments more tractable, and giving us better insights about how past assessments have engaged with the literature. We use topic modelling to draw a topic map, or topography, of over 400,000 publications from the Web of Science on climate change. We update current knowledge on the IPCC, showing that compared with the baseline of the literature identified, the social sciences are in fact over-represented in recent assessment reports. Technical, solutions-relevant knowledge—especially in agriculture and engineering—is under-represented. We suggest a variety of other applications of such maps, and our findings have direct implications for addressing growing demands for more solution-oriented climate change assessments that are also more firmly rooted in the social sciences2,3. The perceived lack of social science knowledge in assessment reports does not necessarily imply an IPCC bias, but rather suggests a need for more social science research with a focus on technical topics on climate solutions. The rapid growth of climate change research presents challenges for IPCC assessments and their stated aim of being comprehensive, objective and transparent. Here the authors use topic modelling to map the climate change literature, and assess how well it is represented in IPCC reports.
Keywords: evidence_review; openalex:cites; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Revisiting the climate driver and inhibitor mechanisms of international migration - Wesselbaum, Dennis (Climate and Development, 2020)
In this paper, we add to the literature on the driving forces of international migration out of Africa. We particularly focus on the direct effect of climate variables: temperature, rainfall, and weather-related disaster. We revisit the question whether climate is a driver or inhibitor of migration using migration flows out of all African countries from 1980 to 2015 into 16 OECD countries. Our findings show that climate can be a driver and an inhibitor of migration depending on the size of the temperature shock. We show that temperature has non-linear effects on migration. We observe a U-shaped relationship for temperature at destination and an inverted U-shaped relationship at origin. We also find that the agricultural pathway does quantitatively matter: countries relying more heavily on agriculture experience larger migration flows. Finally, weather-related disaster also have a significant effect on international migration.
Keywords: openalex:cites; openalex:import

Research and Education in India on Climate Change - Ray, Alak (Science and culture, 2020)
Keywords: C:India; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:sdg:13 Climate action; oa:topic:T10471 Economic Implications of Climate Change Policies; openalex:import; openalex:yes

Towards optimal control of air handling units using deep reinforcement learning and recurrent neural network - Zou, Zhengbo; Yu, Xinran; Ergan, Semiha (Building and Environment, 2020)
Optimal control of heating, ventilation and air conditioning systems (HVACs) aims to minimize the energy consumption of equipment while maintaining the thermal comfort of occupants. Traditional rule-based control methods are not optimized for HVAC systems with continuous sensor readings and actuator controls. Recent developments in deep reinforcement learning (DRL) enabled control of HVACs with continuous sensor inputs and actions, while eliminating the need of building complex thermodynamic models. DRL control includes an environment, which approximates real-world HVAC operations; and an agent, that aims to achieve optimal control over the HVAC. Existing DRL control frameworks use simulation tools (e.g., EnergyPlus) to build DRL training environments with HVAC systems information, but oversimplify building geometrics. This study proposes a framework aiming to achieve optimal control over Air Handling Units (AHUs) by implementing long-short-term-memory (LSTM) networks to approximate real-world HVAC operations to build DRL training environments. The framework also implements state-of-the-art DRL algorithms (e.g., deep deterministic policy gradient) for optimal control over the AHUs. Three AHUs, each with two-years of building automation system (BAS) data, were used as testbeds for evaluation. Our LSTM-based DRL training environments, built using the first year's BAS data, achieved an average mean square error of 0.0015 across 16 normalized AHU parameters. When deployed in the testing environments, which were built using the second year's BAS data of the same AHUs, the DRL agents achieved 27%–30% energy saving comparing to the actual energy consumption, while maintaining the predicted percentage of discomfort (PPD) at 10%.
Keywords: C:Mali; Deep reinforcement learning; Energy consumption; HVAC control; Long-short-term-memory network; Thermal comfort; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:air handling units; oa:keyword:deep reinforcement learning; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10603 Demand Response in Smart Grids; oa:topic:T11529 Refrigeration Systems and Technologies; openalex:n:1; openalex:yes

Towards optimal control of air handling units using deep reinforcement learning and recurrent neural network - Zou, Zhengbo; Yu, Xinran; Ergan, Semiha (Building and Environment, 2020)
Optimal control of heating, ventilation and air conditioning systems (HVACs) aims to minimize the energy consumption of equipment while maintaining the thermal comfort of occupants. Traditional rule-based control methods are not optimized for HVAC systems with continuous sensor readings and actuator controls. Recent developments in deep reinforcement learning (DRL) enabled control of HVACs with continuous sensor inputs and actions, while eliminating the need of building complex thermodynamic models. DRL control includes an environment, which approximates real-world HVAC operations; and an agent, that aims to achieve optimal control over the HVAC. Existing DRL control frameworks use simulation tools (e.g., EnergyPlus) to build DRL training environments with HVAC systems information, but oversimplify building geometrics. This study proposes a framework aiming to achieve optimal control over Air Handling Units (AHUs) by implementing long-short-term-memory (LSTM) networks to approximate real-world HVAC operations to build DRL training environments. The framework also implements state-of-the-art DRL algorithms (e.g., deep deterministic policy gradient) for optimal control over the AHUs. Three AHUs, each with two-years of building automation system (BAS) data, were used as testbeds for evaluation. Our LSTM-based DRL training environments, built using the first year's BAS data, achieved an average mean square error of 0.0015 across 16 normalized AHU parameters. When deployed in the testing environments, which were built using the second year's BAS data of the same AHUs, the DRL agents achieved 27%–30% energy saving comparing to the actual energy consumption, while maintaining the predicted percentage of discomfort (PPD) at 10%.
Keywords: Deep reinforcement learning; Energy consumption; HVAC control; Long-short-term-memory network; Thermal comfort; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:air handling units; oa:keyword:deep reinforcement learning; oa:sdg:7 Affordable and clean energy; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10603 Demand Response in Smart Grids; oa:topic:T11529 Refrigeration Systems and Technologies; openalex:n:1; openalex:yes

Perception and Knowledge on Climate Change: A Case Study of University Students in Bangladesh - Kumar, Bezon; Asad, Arif Ibne; Chandraaroy, Borun; Banik, Purnima (Journal of atmospheric science research, 2020)
This paper mainly investigates the perception and knowledge on climate change of the university students in Bangladesh. To carry out this study, primary data are collected from 370 students and uses several statistical methods. Perception and knowledge on the causes, effects and mitigation ways of climate change problems, and perceived duties to combat against climate change are analyzed with descriptive statistics. This paper finds that deforestation is the main cause of global warming and climate change and, the effects of climate change is very serious on people’s health. Majority portion of the students think that it is difficult to combat against climate change problem because it has already been too late to take action. Besides this study also finds that government is crucially responsible for combating against climate change problem. The study calls for government mainly besides industry and youths to aware people about the causes, effects, mitigation ways of climate change so that they can contribute to the sustainable development by mitigating climate change problem.
Keywords: C:Bangladesh; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; openalex:import; openalex:yes

Perception and Knowledge on Climate Change: A Case Study of University Students in Bangladesh - Kumar, Bezon; Asad, Arif Ibne; Chandraaroy, Borun; Banik, Purnima (Journal of atmospheric science research, 2020)
This paper mainly investigates the perception and knowledge on climate change of the university students in Bangladesh. To carry out this study, primary data are collected from 370 students and uses several statistical methods. Perception and knowledge on the causes, effects and mitigation ways of climate change problems, and perceived duties to combat against climate change are analyzed with descriptive statistics. This paper finds that deforestation is the main cause of global warming and climate change and, the effects of climate change is very serious on people’s health. Majority portion of the students think that it is difficult to combat against climate change problem because it has already been too late to take action. Besides this study also finds that government is crucially responsible for combating against climate change problem. The study calls for government mainly besides industry and youths to aware people about the causes, effects, mitigation ways of climate change so that they can contribute to the sustainable development by mitigating climate change problem.
Keywords: C:Bangladesh; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; openalex:import; openalex:yes

Canadian Law Schools Must Do Their Part to Help Combat Climate Change - Chen, Ling (Social Science Research Network, 2020)
The intensifying physical and socio-economic effects of climate change, mainstreamed by political debates and scientific evidence on anthropogenic disruptions to the global climate system, have motivated changing legislation, regulation, litigation, and institutions. But legal education is not keeping up; climate change has not yet been taught well and broadly in Canadian law schools. While a few schools have offered climate law courses, the majority have not done so in any systematic way. The unprecedentedly expanding demands from youth and students for aggressive climate action should call the attention of law schools to the roles they should play in combatting climate change.
Keywords: _z:class:countries; _z:class:themes; oa:keyword:canadian law schools; oa:sdg:13 Climate action; oa:topic:T12895 Legal Recognition of Nature's Rights and Environmental Governance; openalex:import; openalex:yes; ⛔ No DOI found

Heat, comfort and well-being in a changing climate : learning from cooling practices in Malaysian households - Amin, M. Monalkumar; Tarmizi, Mohd Ariff Ahmad (2020)
Keywords: C:Malaysia; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T13599 Cultural and Architectural Influences on Society; openalex:import; openalex:yes

Promoting Climate Change and Health Education for Sustainable Development in Nigeria - Anabaraonye, Benjamin; Ewa, Beatrice O; Okoro, Kenneth. I.; Anthony, Precious. C. (2020)
The impacts of climate change are felt profoundly on Nigeria’s health sector. The impacts of climate change on the health sector in Nigeria implies that due considerations to health issues as part of climate change mitigation and adaptation efforts has become a pressing issue. Training is a critical component of the global climate change response.. Climate change and health education is therefore vital in every community in order to prepare them for climate change impacts and to learn how to adapt and mitigate effectively for sustainable development in Nigeria. Consequently, mitigation and adaptation approaches are important for the successful management of Nigeria's health sector.. The objective of this paper is to highlight the impacts of climate change on the health sector in Nigeria. It also outlines the adaptation and mitigation strategies to climate change for building resilience and reducing vulnerability for a sustainable future. This study highlights the need to educate communities and various institutions about climate change and its impact on the health sector in Nigeria. This paper is therefore very significant as it explores new opportunities, practices and policies for climate changemitigation and adaptation on the health sector in Nigeria.
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; oa:keyword:sustainable development; oa:sdg:13 Climate action; oa:topic:T11244 Impact of Climate Change on Human Health; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Learning for development : factors that lead to successful development projects for marginalised communities affected by climate change in Bangladesh - Anmol, Khonker Taskin (2020)
Keywords: C:Bangladesh; _z:class:countries; _z:class:themes; oa:keyword:successful development projects; oa:sdg:13 Climate action; oa:topic:T10596 Maternal and Child Nutrition in Developing Countries; oa:topic:T12013 Measurement and Evaluation of Sustainable Development; oa:topic:T12656 Impact of Climate Change on Human Migration; openalex:import; openalex:yes

COVID-19’s Impact on Climate Change Research and Institutional Resilience in Higher Education in Vermont and Tanzania - Clément, Stéphanie (2020)
Keywords: C:Tanzania; _z:class:countries; _z:class:themes; oa:keyword:institutional resilience; oa:sdg:13 Climate action; oa:topic:T10168 Impact of COVID-19 on Mental Health; oa:topic:T10747 Community Resilience to Natural Disasters; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

A practical artificial intelligence-based approach for predictive control in commercial and institutional buildings - Cotrufo, N.; Saloux, E.; Hardy, J. M.; Candanedo, J. A.; Platon, R. (Energy and Buildings, 2020)
This paper presents a methodology for the development and implementation of Model Predictive Control (MPC) in institutional buildings. This methodology relies on Artificial Intelligence (AI) for model development. An appropriate control-oriented model is a critical component in MPC; model development is no easy task, and it often requires significant technical expertise, effort and time, along with a substantial amount of information. AI techniques enable rapid development and calibration of models using a limited amount of information (i.e. measurements of few variables) while achieving relatively high accuracy. In this study, the MPC algorithm targets the reduction of natural gas consumption by optimizing the transition between night set-back and daytime indoor air set-point values as a function of the expected weather. This MPC strategy was implemented in an institutional building in Varennes (QC), Canada, during the heating season 2018–19. A significantly better performance was achieved when compared with “business as usual” control strategies: the natural gas consumption and greenhouse gas (GHG) emissions were reduced by approximately 22%, and the building heating demand by 4.3%. The proposed strategy is scalable and can be replicated in other buildings.
Keywords: C:Canada; _z:class:countries; _z:class:themes; oa:keyword:predictive control; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10791 Model Predictive Control in Industrial Processes; oa:topic:T11371 Urban Wind Environment and Air Quality Modeling; openalex:n:1; openalex:yes

Training Canadian doctors for the health challenges of climate change - Hackett, Finola; Got, Tiffany; Kitching, G; MacQueen, Kelsey T; Cohen, Arianne (The Lancet Planetary Health, 2020)
Our planet is changing, and as with any drastic upheaval to patients' surroundings, global environmental changes affect individual health. Climate change is a major threat to ecosystems and the wellbeing of current and future generations of people. From wildfire-related evacuation of hospitals to the spread of Lyme disease and heat-related deaths and injuries, the health effects of climate change are becoming increasingly clear in Canada.1Howard C Buse C Rose C MacNeill A Parkes M The Lancet Countdown on health and climate change: policy brief for Canada. 2019https://storage.googleapis.com/lancet-countdown/2019/11/Lancet-Countdown_Policy-brief-for-Canada_FINAL.pdfDate accessed: December 16, 2019Google Scholar The environment is an important yet sorely neglected determinant of health. Despite increasing pressure to include environment-related topics in their curricula, medical schools have not adequately addressed the urgent need for training. Climate change is clearly relevant for medical education, which prepares students for future practice and promotes public health and eco-health literacy.2Maxwell J Blashki G Teaching about climate change in medical education: an opportunity.J Public Health Res. 2016; 5: 673Crossref PubMed Scopus (78) Google Scholar The International Federation of Medical Students' Associations has called upon medical schools to integrate teaching related to climate change into their curricula by 20203International Federation of Medical Students' AssociationsSixty-fifth session of the WHO Regional Committee for the Eastern Mediterranean. 2018https://ifmsa.org/statements/Date accessed: December 16, 2019Google Scholar and UK medical students also highlighted this point in the BMJ, in which they called for “urgent action to safeguard the health of our future patients”.4Legard C Green M Tucker Y van Daalen K Climate change is impacting population health and our future patients: remaining silent is not an option.The BMJ Opinion. 2019; (Sept 26)https://blogs.bmj.com/bmj/2019/09/26/climate-change-is-impacting-population-health-and-our-future-patients-remaining-silent-is-not-an-option/Date accessed: December 16, 2019Google Scholar First, we suggest that the core competencies that health professionals should have relating to climate change must be agreed upon by the medical community. Fortunately, resources already exist in the international health and environment community. For instance, the Centre for Sustainable Healthcare has a peer network supporting teaching on planetary health and sustainable health systems,5Centre for Sustainable Healthcare NetworksEducation for sustainable healthcare.https://networks.sustainablehealthcare.org.uk/network/education-sustainable-healthcareDate accessed: November 17, 2019Google Scholar and the Canadian Association of Physicians for the Environment published a climate change toolkit for health professionals, with concise modules for adapting to and mitigating the effects of climate change on patients and within communities.6Canadian Association of Physicians for the EnvironmentClimate change toolkit for health professionals.https://cape.ca/campaigns/climate-health-policy/climate-change-toolkit-for-health-professionals/Date accessed: November 17, 2019Google Scholar Second, a mechanism must be created to integrate these competencies into curricula that are already packed full. Topics can be presented through didactic lectures and incorporated into existing lectures, such as integrating teaching on the effects of air pollution with respiratory health teaching, discussing climate-related displacement within teaching on refugee and migrant health, and exploring the increasing burden of heat stress on health-care systems. Furthermore, case-based sessions can highlight the effects on specific individuals. Examples could include considering isolated older people at risk of heat stroke or of being in extreme weather events, or discussing the effects of flooding or poor water quality on Indigenous communities. Lastly, there must be a national movement to change, as well as a system to evaluate and compare planetary health education across the nation. Members of the Health and Environment Adaptive Response Taskforce (HEART), part of the Canadian Federation of Medical Students, have responded to this call by creating a set of core competencies on planetary health, including the effects of climate change and other environmental changes on health. These competencies promote advocacy and provide a framework for curricular development in medical education. In 2019, HEART conducted a national evaluation of planetary health teaching in undergraduate medical education with the participation of Canadian medical students and faculty. The survey was developed with international leaders in planetary health and distributed to students and faculty in environmental health and sustainability at each of the Canadian medical schools. Survey scores were based on the inclusion and quality of didactic and case-based teaching on climate change and environmental topics, and on opportunities for student engagement. By September, 2019, all 17 Canadian medical schools had participated in the evaluation. The results of the HEART evaluation7Canadian Federation of Medical StudentsHealth and environment adaptive response task force.https://www.cfms.org/what-we-do/global-health/heart.htmlDate accessed: November 17, 2019Google Scholar outline a clear opportunity to improve planetary health education in Canadian medical schools. Institutions can recognise and address this opportunity by tapping into the strong movement to change, with student interest groups and faculty already taking steps to integrate these competencies. Ultimately, physicians must be equipped with the knowledge and skills to serve as medical experts and health advocates in their communities. A rapid increase in curricular content related to planetary health, including climate change, is required to equip future physicians to manage the effects of ecological change on health and health systems. As can be seen from the dynamic energy surrounding the Fridays for Future movement,8Hope M Contagious youth.Lancet Planetary Health. 2019; 3: e376-e377Summary Full Text Full Text PDF PubMed Scopus (4) Google Scholar young people have the passion to drive a healthy response to ecological change. Physicians across Canada are beginning to advocate, standing in solidarity with youth at the Global Day of Action on Sept 27, 2019, and leading a recent call to action on climate change and health.9Canadian Association of Physicians for the EnvironmentCall to action on climate change and health. 2019https://cape.ca/wp-content/uploads/2019/07/Call-to-Action-Full-logos-updated-EN-June-25-2019.pdfDate accessed: November 17, 2019Google Scholar However, to address the growing challenges associated with climate change, young physicians must first understand those challenges and their responsibilities as health-care providers. Medical professionals are gaining the tools to become leaders in this area as we progress to a safer, more sustainable future. We declare no competing interests.
Keywords: C:Canada; _z:class:countries; _z:class:themes; oa:keyword:canadian doctors; oa:keyword:climate change; oa:sdg:13 Climate action; oa:topic:T11244 Impact of Climate Change on Human Health; oa:topic:T13123 Expanding Access to Radiotherapy Globally; oa:topic:T13555 Strategies to Reduce Low-Value Health Care Services; openalex:import; openalex:yes

Analysis on the Content Elements of Energy and Climate Change Education Presented in the Achievement Standards of the 2015 Revised National Curriculum and Special Education Basic Curriculum - Keun, Park Jae (Jounral of Energy and Climate Change Education, 2020)
Keywords: _z:class:countries; openalex:import; openalex:yes

Assessing disability inclusive disaster risk reduction and climate change adaptation capabilities in Singapore - Lee, Chelsea Wen Si (2020)
Keywords: _z:class:countries; openalex:import; openalex:yes

Effect of carbon dioxide concentration on respiratory parameters of occupants - Mishra, Asit; Wargocki, Pawel; Tham, KW (2020)
Climate models imply that by 2100 atmospheric CO2 levels could exceed 900 ppm. At these levels, subscribing to current ventilation rates would lead to indoor CO2 levels ≥1,400 ppm, possibly impacting our physiology and other responses. We ran a randomized, within-subject study with 15 participants to examine the physiological effects of 2,5 hour exposure to three CO2 levels: 900 ppm, 1450 ppm (reduced ventilation), and 1450 ppm (pure CO2 added, ventilation same as 900 ppm). End-tidal CO2 and respiration rate across the different exposures were not significantly different. Spirometry parameters reduced significantly from the beginning to the end at reduced ventilation exposure compared to the 900 ppm condition (p<0.013), but not during exposure to pure CO2. The results suggest no effect of increased pure CO2 on some physiological parameters in contrary to reduced ventilation.

Modelling hydrological responses under climate change using machine learning algorithms – semi-arid river basin of peninsular India - Naidu, G. Sireesha; Pratik, M.; Rehana, S. (H2Open journal, 2020)
Abstract Catchment scale conceptual hydrological models apply calibration parameters entirely based on observed historical data in the climate change impact assessment. The study used the most advanced machine learning algorithms based on Ensemble Regression and Random Forest models to develop dynamically calibrated factors which can form as a basis for the analysis of hydrological responses under climate change. The Random Forest algorithm was identified as a robust method to model the calibration factors with limited data for training and testing with precipitation, evapotranspiration and uncalibrated runoff based on various performance measures. The developed model was further used to study the runoff response under climate change variability of precipitation and temperatures. A statistical downscaling model based on K-means clustering, Classification and Regression Trees and Support Vector Regression was used to develop the precipitation and temperature projections based on MIROC GCM outputs with the RCP 4.5 scenario. The proposed modelling framework has been demonstrated on a semi-arid river basin of peninsular India, Krishna River Basin (KRB). The basin outlet runoff was predicted to decrease (13.26%) for future scenarios under climate change due to an increase in temperature (0.6 °C), compared to a precipitation increase (13.12%), resulting in an overall reduction in water availability over KRB.
Keywords: C:India; _z:class:countries; _z:class:themes; 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:yes

Effect of Change Effort in Raising Organizational Climate at the Kenya School of Government, Matuga Campus - Napoo, John Lokuruka; Nyambati, Richard (International Journal of Humanities and Social Science, 2020)
Keywords: C:Kenya; _z:class:countries; _z:class:themes; oa:keyword:raising organizational climate; oa:sdg:13 Climate action; oa:topic:T11810 System Dynamics Modeling and Applications; oa:topic:T13163 Demonstrating the Value of Learning Culture in Organizations; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Effect of Change Effort in Raising Organizational Climate at the Kenya School of Government, Matuga Campus - Napoo, John Lokuruka; Nyambati, Richard (International Journal of Humanities and Social Science, 2020)
Keywords: _z:class:countries; _z:class:themes; oa:keyword:raising organizational climate; oa:sdg:13 Climate action; oa:topic:T11810 System Dynamics Modeling and Applications; oa:topic:T13163 Demonstrating the Value of Learning Culture in Organizations; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Effectiveness of Disaster Risk Reduction (DRR) and Climate Change Adaptation (CCA) Training Programs: Views and Voices from Barisal Division, a Coastal Region in Bangladesh - Nipa, Sharmin Nahar; Oyshi, Jarin Tasneem; Rouf, Istiak Ibne (2020)
Barisal division, a coastal region of Bangladesh, is one of the most vulnerable zones in terms of climate-induced disasters, where the children, women, and young people are at high risk. Disaster Risk Reduction (DRR) and Climate Change Adaptation (CCA) training programs for children and youth usually aim to change the way of thinking and action, which can make the future generations or the communities more resilient. Trainings can help to improve skills, knowledge, and capacities to manage any disaster event. Considering this fact, the Centre for Climate Change and Environmental Research (C3ER) of BRAC University facilitated several capacity building training programs on DRR and CCA, which have been conducted in different districts of Barisal division. Nearly 105 children and youth of 3 districts (Barguna, Bhola, and Barisal) of Barisal division have transformed into Disaster Ambassador and helped to enhance the capacities of their communities to deal with climate-induced disasters. This chapter aims to find out the effectiveness of these training programs to build disaster resilient communities through the active participation of children and young people. It finds that the trained children and youths became able to contribute positively through making decisions and developing work plans which were supported by various organizations.
Keywords: C:Bangladesh; _z:class:countries; _z:class:themes; oa:keyword:climate change adaptation; oa:keyword:disaster risk reduction; oa:sdg:13 Climate action; oa:topic:T10747 Community Resilience to Natural Disasters; oa:topic:T10930 Global Flood Risk Assessment and Management; oa:topic:T12656 Impact of Climate Change on Human Migration; openalex:import; openalex:yes

Effectiveness of Disaster Risk Reduction (DRR) and Climate Change Adaptation (CCA) Training Programs: Views and Voices from Barisal Division, a Coastal Region in Bangladesh - Nipa, Sharmin Nahar; Oyshi, Jarin Tasneem; Rouf, Istiak Ibne (2020)
Barisal division, a coastal region of Bangladesh, is one of the most vulnerable zones in terms of climate-induced disasters, where the children, women, and young people are at high risk. Disaster Risk Reduction (DRR) and Climate Change Adaptation (CCA) training programs for children and youth usually aim to change the way of thinking and action, which can make the future generations or the communities more resilient. Trainings can help to improve skills, knowledge, and capacities to manage any disaster event. Considering this fact, the Centre for Climate Change and Environmental Research (C3ER) of BRAC University facilitated several capacity building training programs on DRR and CCA, which have been conducted in different districts of Barisal division. Nearly 105 children and youth of 3 districts (Barguna, Bhola, and Barisal) of Barisal division have transformed into Disaster Ambassador and helped to enhance the capacities of their communities to deal with climate-induced disasters. This chapter aims to find out the effectiveness of these training programs to build disaster resilient communities through the active participation of children and young people. It finds that the trained children and youths became able to contribute positively through making decisions and developing work plans which were supported by various organizations.
Keywords: C:Bangladesh; _z:class:countries; _z:class:themes; oa:keyword:climate change adaptation; oa:keyword:disaster risk reduction; oa:sdg:13 Climate action; oa:topic:T10747 Community Resilience to Natural Disasters; oa:topic:T10930 Global Flood Risk Assessment and Management; oa:topic:T12656 Impact of Climate Change on Human Migration; openalex:import; openalex:yes

Modelling and Simulating the Thermal Comfort Aspects of Natural Ventilated Classrooms in Hot-Humid Climates - Sasidhar, P. V.; Shrivastava, Kratika; Mopuri, Ramgopal (2020)
Providing a thermally comfortable environment is considered to be an essential requirement for effective learning in classrooms. Providing thermal comfort by using active but energy intensive environment control systems is not sustainable in a vast country like India. Though national building codes provide some specifications for classrooms, it is not known whether adherence to these standards ensures thermal comfort in a sustainable manner. This paper presents results obtained from a systematic study on a naturally ventilated classroom located in a hot and humid environment. A reference classroom is defined based on the National Building Code (NBC) of India and building simulations are carried out on this classroom using EnergyPlus. The comfort aspects of the classroom are evaluated by applying well-known adaptive thermal comfort standards. Various measures such as occupant density, class scheduling, external shading, night ventilation, and reflective roof paintings are introduced in the simulation systematically to evaluate their effect on comfort aspects of the classroom, individually and cumulatively. The relative importance of each of these measures and then the combined effect on thermal comfort are analyzed. Results show that the comfort hours of the reference classroom can be increased significantly by employing the suggested methods which are practically feasible and sustainable.
Keywords: C:India; _z:class:countries; _z:class:themes; _z:no_pdf; oa:keyword:natural ventilated classrooms; oa:keyword:thermal comfort aspects; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10766 Urban Heat Islands and Mitigation Strategies; oa:topic:T12950 Learning Environments in Education

Influence of Different Roof Design Parameters on Classrooms’ Thermal Performance in Tropical Savannah Climate of Nigeria - Abba, Habu Yusuf; Bint Abdul-Majid, Roshida; Ahmed, Muhammad Hamdan; Said, El-Nafaty Abbas (Journal of Xi'an University of Architecture & Technology, 2020)
Keywords: BE:LMIC; BE:RELEVANT; C:Nigeria; _z:class:countries; _z:class:themes; openalex:n:0; ⛔ No DOI found

Implementation Science 3.0 - Albers, Bianca; Shlonsky, Aron; Mildon, Robyn (Springer, 2020)
Keywords: evidence_review

On the Ventilation performance of low momentum confluent jets supply device in a classroom - Andersson, Harald; Kabanshi, Alan; Cehlin, Mathias; Moshfegh, Bahram (Energies, 2020)
Keywords: BE:RELEVANT; _z:class:countries; _z:class:themes; oa:keyword:ventilation performance; 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

Human Capital Accumulation and Disasters: Evidence from the Pakistan Earthquake of 2005 - Andrabi, T.; Daniels, B.; Das, J. (RISE Working Paper Series. 20/039: Human Capital Accumulation and Disasters: Evidence from the Pakistan Earthquake of 2005 | RISE Programme, 2020)

Does women’s participation in agricultural technology adoption decisions affect the adoption of climate-smart agriculture? Insights from Indo-Gangetic Plains of India - Aryal, J.; P. (Review of Development Economics, 2020)

Thermal environmental conditions for human occupancy - ASHRAE (2020)
Keywords: _z:class:countries; _z:class:themes

Interventions in LICs and LMICs to improve air quality and/or mitigate its impacts - Avis, William; Bartington, Suzanne (Knowledge, evidence and learning for development, 2020)
Keywords: _z:class:countries; _z:class:themes; ⛔ No DOI found

Technological (Mis)conceptions: Examining birth control as conservation in coastal Madagascar - Baker-Médard, M.; Sasser, J. (Geoforum, 2020)

Evaluation of Physical Aspects of Classroom Environment in Terms of the Humanistic Approach: A Comprehensive Theoretical Framework - Barri, Moatasim A. (Journal of Education and Training Studies, 2020)
Keywords: BE:RELEVANT; _z:class:countries; _z:class:themes; oa:keyword:classroom environment; oa:keyword:humanistic approach; oa:topic:T12950 Learning Environments in Education; openalex:n:1; openalex:yes

Assessing the Strength of Evidence in the Education Sector - BE2 (2020)

A study protocol to determine heat-related health impacts among primary schoolchildren in South Africa - Bidassey-Manilal, Shalin; Wright, Caradee Yael; Kapwata, Thandi; Shirinde, Joyce (International journal of environmental research and public health, 2020)
Climate models predict that the global average temperature of Earth will rise in the future. Studies show that high classroom temperatures can affect the ability of the student to learn and function. It is important to understand the impact that heat will have on the health, wellbeing, and academic performance of learners, as they spend a significant amount of time in classrooms compared to any other environment. A follow-up panel study among 20 public primary schools in the Gauteng province (South Africa) will be carried out, in which Grade 4 learners will be selected to complete an hourly heat-health symptom questionnaire. A Cambridge Neuropsychological Test Automated Battery (CANTAB) test will be used to determine their memory and attention span. A nursing practitioner will measure body weight, height, and temperature. Lascar data loggers will be used to measure indoor classroom temperature. School principals will complete a questionnaire on existing school coping mechanisms and policies in place that help deal with hot weather conditions. This is the first study to quantitatively assess the effects of heat on learners’ health, well-being and school performance in South Africa. The outcomes of this study will enable policymakers and public officials to develop appropriate school heat adaptation and mitigation measures and will assist in channeling their resources where it is most needed.
Keywords: BE:LMIC; BE:RELEVANT; C:South Africa; _z:class:countries; _z:class:themes; evidence_review; oa:sdg:13 Climate action; oa:topic:T10190 Health Effects of Air Pollution; 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

Calculating the sample size required for developing a clinical prediction model - D, Riley R.; J, Ensor; E, Snell K.I.; E, Harrell F.; P, Martin G.; B, Reitsma J.; M, Moons K.G.; G, Collins; M, Smeden (BMJ, 2020)

Factors affecting vulnerability level of farming households to climate change in developing countries: evidence from Eritrea - Debesai, M.G. (IOP Conference Series: Materials Science and Engineering, 2020)

Development and optimization of artificial neural network algorithms for the prediction of building specific local temperature for HVAC control - Demirezen, Gulsun; Fung, Alan S.; Deprez, Mathieu (International Journal of Energy Research, 2020)
Keywords: _z:class:countries; _z:class:themes; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10603 Demand Response in Smart Grids; oa:topic:T11052 Electricity Price and Load Forecasting Methods; openalex:n:1; openalex:yes

Three roles for education in climate change adaptation - Feinstein, N.; W.; Mach, K.; J. (Climate Policy, 2020)
Keywords: _z:class:countries

An exploration of green roofs for indoor and exterior temperature regulation in the South African interior - Fitchett, A.; Govender, P.; Vallabh, P. (Environ Dev Sustain, 2020)

GlobalABC Regional Roadmap for Buildings and Construction in Africa: Towards a zero-emission, efficient and resilient buildings and construction sector - Global Alliance for Buildings and Construction; International Energy Agency; United Nations Environment Programme (2020)
Keywords: _z:class:countries; _z:class:themes

On the use of computer‐assistance to facilitate systematic mapping - Haddaway, Neal R.; Callaghan, Max W.; Collins, Alexandra M.; Lamb, William F.; Minx, Jan C.; Thomas, James; John, Denny (Campbell Systematic Reviews, 2020)
Abstract The volume of published academic research is growing rapidly and this new era of “big literature” poses new challenges to evidence synthesis, pushing traditional, manual methods of evidence synthesis to their limits. New technology developments, including machine learning, are likely to provide solutions to the problem of information overload and allow scaling of systematic maps to large and even vast literatures. In this paper, we outline how systematic maps lend themselves well to automation and computer‐assistance. We believe that it is a major priority to consolidate efforts to develop and validate efficient, rigorous and robust applications of these novel technologies, ensuring the challenges of big literature do not prevent the future production of systematic maps.
Keywords: evidence_review; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

Factors affecting the women's empowerment in disaster risk governance structure in Sri Lanka - Hemachandra, Kinkini; Amaratunga, Dilanthi; Haigh, Richard (International Journal of Disaster Risk Reduction, 2020)
Women have been disproportionately affected by natural hazards due to many reasons. Minimum representation of women in disaster decision-making has been identified as such reasons for their high vulnerabilities in disasters. Hence, women's empowerment in disaster decision-making has been proposed by researchers and many international frameworks as a strategy to address vulnerabilities. Because women's empowerment in disaster risk governance is expected to reduce their vulnerabilities and strengthen overall societal resilience to future hazards. However, limited evidence is available on how to achieve women's empowerment in disaster risk governance. Hence, this chapter aims to explore the challenges that prevent their empowerment in disaster risk governance structure as input for policy makers of Sri Lanka. Sri Lanka was selected due to its increasing risks for disasters and the status of women's empowerment within the risk governance structure. Using a semi-structured interview guideline, which was developed based on the literature review, nine semi-structured interviews were conducted with the experts in the field of the study. Interview data were analysed qualitatively to identify the challenges that limit women's empowerment in disaster risk governance structure in Sri Lanka. The identified challenges are presented in this paper with the suggestions made by experts as inputs for the policymaking process. Accordingly, twenty challenges were identified within five broad themes as legal, institutional, individual, social & cultural and nature of the job. Accordingly, three suggestions were presented to overcome the identified challenges to enhance women's empowerment in disaster risk governance structure in Sri Lanka.
Keywords: Disaster risk governance; Disasters; Governance; Sri Lanka; Women's empowerment; _z:class:countries

The sustainable development index: Measuring the ecological efficiency of human development in the anthropocene - Hickel, J. (Ecological Economics, 2020)

Global report on internal displacement - I.D.M.C. (Internal Displacement Monitoring Centre (IDMC, 2020)
Keywords: _z:class:countries

The impacts of internal displacement on education in sub-Saharan Africa. Paper commissioned for the 2020 Global Education Monitoring Report, Inclusion and Education - I.D.M.C. (UNESCO. Internal Displacement Monitoring Centre (IDMC, 2020)
Keywords: _z:class:countries

The impacts of internal displacement on education in sub-Saharan Africa. Paper commissioned for the 2020 Global Education Monitoring Report, Inclusion and Education - I.D.M.C. (UNESCO. Internal Displacement Monitoring Centre (IDMC, 2020)

Utilizing artificial neural network for prediction of occupants thermal comfort: A case study of a test room fitted with a thermoelectric air-conditioning system - Irshad, Kashif; Khan, Asif Irshad; Irfan, Sayed Ameenuddin; Alam, Md Mottahir; Almalawi, Abdulmohsen; Zahir, Md Hasan (IEEE Access, 2020)
Keywords: _z:class:countries; _z:class:themes; oa:keyword:occupants thermal comfort; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10766 Urban Heat Islands and Mitigation Strategies; oa:topic:T11529 Refrigeration Systems and Technologies; openalex:n:1; openalex:yes; selected_for:Predictive models for classroom conditions 2024

Passive cooling for thermal comfort in informal housing - Kimemia, D.; Niekerk, A.; Annegarn, H.; Seedat, M. (Journal of Energy in Southern Africa, 2020)

Warmer environments increase implicit mental workload even if learning efficiency is enhanced - Kimura, Tsukasa; Takemura, Noriko; Nakashima, Yuta; Kobori, Hirokazu; Nagahara, Hajime; Numao, Masayuki; Shinohara, Kazumitsu (Frontiers in Psychology, 2020)
Climate change is one of the most important issues for humanity. To defuse this problem, it is considered necessary to improve energy efficiency, make energy sources cleaner, and reduce energy consumption in urban areas. The Japanese government has recommended an air conditioner setting of 28◦C in summer and 20◦C in winter since 2005. The aim of this setting is to save energy by keeping room temperatures constant. However, it is unclear whether this is an appropriate temperature for workers and students. This study examined whether thermal environments influence task performance over time. To examine whether the relationship between task performance and thermal environments influences the psychological states of participants, we recorded their subjective rating of mental workload along with their working memory score, electroencephalogram (EEG), heart rate variability, skin conductance level (SCL), and tympanum temperature during the task and compared the results among different conditions. In this experiment, participants were asked to read some texts and answer questions related to those texts. Room temperature (18, 22, 25, or 29◦C) and humidity (50%) were manipulated during the task and participants performed the task at these temperatures. The results of this study showed that the temporal cost of task and theta power of EEG, which is an index for concentration, decreased over time. However, subjective mental workload increased with time. Moreover, the low frequency to high frequency ratio and SCL increased with time and heat (25 and 29◦C). These results suggest that mental workload, especially implicit mental workload, increases in warmer environments, even if learning efficiency is facilitated. This study indicates integrated evidence for relationships among task performance, psychological state, and thermal environment by analyzing behavioral, subjective, and physiological indexes multidirectionally.
Keywords: BE:RELEVANT; _z:class:countries; _z:class:themes; oa:keyword:implicit mental workload; oa:sdg:7 Affordable and clean energy; oa:topic:T10042 Neural Mechanisms of Cognitive Control and Decision Making; oa:topic:T10525 Human Interaction with Automation Systems; oa:topic:T13219 Neuroscience of Mind Wandering and Attention Lapses; openalex:n:1; openalex:yes

Roadblocks to quality education in a time of climate change - Kwauk, C. (Center for Universal Education at The Brookings Institution, 2020)
Keywords: _z:class:countries

Perceived air quality and cognitive performance decrease at moderately raised indoor temperatures even when clothed for comfort - Lan, Li; Xia, Lulu; Hejjo, Rihab; Wyon, David P.; Wargocki, Pawel (Indoor Air, 2020)
This study investigated whether adjusting clothing to remain in neutral thermal comfort at moderately elevated temperature is capable of avoiding negative effects on perceived acute subclinical health symptoms, comfort, and cognitive performance. Two temperatures were examined: 23°C and 27°C. Twelve subjects were able to remain thermally comfortable at both temperatures by adjusting their clothing. They rated the physical environment, their comfort, the intensity of acute subclinical health symptoms, and their mental load, and they performed a number of cognitive tasks. Their physiological reactions were monitored. Their performance of several tasks was significantly worse at 27°C, and they reported increased mental load at this temperature. Skin temperature and humidity and respiration rate were higher, while blood oxygen saturation (SpO2) and pNN50 were lower at this temperature, the latter indicating increased stress. It is inferred that the observed physiological responses were mainly responsible for the negative effects on performance, as the subjects did not indicate any increased intensity of acute subclinical health symptoms although perceived air quality was worse at the higher temperature. The present results suggest that moderately elevated temperatures should be avoided even if thermal comfort can be achieved, as it may lead to reduced performance.
Keywords: acute subclinical health symptoms; air temperature; elevated temperature; evidence_review; physiological responses; thermal comfort; work performance

Perceived air quality and cognitive performance decrease at moderately raised indoor temperatures even when clothed for comfort - Lan, Li; Xia, Lulu; Hejjo, Rihab; Wyon, David P.; Wargocki, Pawel (Indoor Air, 2020)
Keywords: BE:RELEVANT; C:Denmark; _z:class:countries; _z:class:themes; oa:keyword:indoor temperatures; 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

Female parliamentarians and environmental performance: the role of the income threshold - Lv, Z. (Environmental Science and Pollution Research, 2020)
Keywords: _z:class:countries

A determination of how African academics understand and maximise the existing and potential role of Indigenous knowledge and practices within their community-based research: Profiling the ecologically minded university and its contribution to sustainable development - Mbah, Marcellus; Johnson, Ane Turner (Soceity for Research into Higher Education, 2020)
Keywords: _z:class:countries; _z:class:themes; ⛔ No DOI found

Gender inequality, reproductive justice, and decoupling economic growth and emissions: a panel analysis of the moderating association of gender equality on the relationship between economic growth and CO2 emissions - McGee, J. (Environmental Sociology, 2020)
Keywords: _z:class:countries

Pre-primary and primary teacher deployment strategy 2019-2021 - MOEST (2020)
Keywords: evidence_review

Impacts of Climate Change on Ecosystem Services and Livelihoods within the Great Limpopo Transfrontier Region - Mpofu, Ephraim (University of Johannesburg, 2020)

National climate change report - National Bureau of Statistics (2020)
Keywords: evidence_review

Thermal and visual comfort of schoolchildren in air-conditioned classrooms in hot and humid climates - Noda, Lumy; Lima, Amanda VP; Souza, Jullyanne F.; Leder, Solange; Quirino, Luana M. (Building and Environment, 2020)
Keywords: BE:RELEVANT; _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:T11002 Indoor Air Quality and Health Effects; openalex:n:1; openalex:yes

Impact of a Severe Drought on Education: More Schooling but Less Learning - Nordstrom, A.; Cotton, C. (Queen’s Economics Department Working Paper No. 1430, 2020)
Keywords: _z:class:countries

Assessment of black globe thermometers employing various sensors and alternative materials - Obando Vega, Felipe Andrés; Montoya Ríos, Ana Paola; Osorio Saraz, Jairo Alexander; Vargas Quiroz, Luis Gonzalo; Alves Damasceno, Flávio (Agricultural and Forest Meteorology, 2020)
The black globe temperature (Tg) is employed in thermal comfort studies. It is mainly used to compute the Mean Radiant Temperature (MRT) required in bioclimatic analysis. A set of low cost Black Globe Thermometers (BGT) was developed to establish a suitable combination of temperature transducers, materials and globe diameters. The dynamic and static responses of the BGT were studied. A total of 18 BGT was deployed along with a data acquisition system based in the Arduino open-source platform. It was analyzed the inﬂuence of the globe material (metallic and polyethylene), globe diameter (100 mm and 67 mm for the metallic and 78 mm for polyethylene) and six types of temperature transducers (K type thermocouple, infrared temperature sensor, thermistor, RTD and two semiconductor-based transducers). It was observed that Tg estimation and response time were transducer and stimuli dependent. The BGT presents good responses for indoor measurements and it was established that the most accurate combination was achieved by the DS18B20 digital temperature sensor with a metallic globe of 67 mm of diameter.

Gender transformative impacts from watershed interventions: Insights from a mixed-methods study in the Bundelkhand region of India - Padmaja, R. (Transactions of the ASABE, 2020)
Keywords: _z:class:countries

Gendered Impacts of Environmental Degradation in Informal Settlements: A Comparative Analysis and Policy Implications for India, Bangladesh, and Pakistan - Patel, Amit; Lotia, Hina; Malik, Ammar A.; Mundt, Marcia D.; Lee, Hyunjung; Rafiq, Muhammad Arshed (Journal of Comparative Policy Analysis: Research and Practice, 2020)
Degraded urban environments disproportionately affect marginalized populations, and especially impoverished women in South Asia’s informal settlements, where climate change vulnerabilities and gender inequalities are extreme. A comparative analysis was conducted of three neighboring countries, India, Bangladesh, and Pakistan, where urban environments, climate risks, and gender relations exhibit significant variances. With original survey data from 12 informal settlements across New Delhi, Dhaka, Islamabad, and Lahore, it was found that women are less empowered than men in all three countries, but their determinants related to environmental degradation and climate change vary. Qualitative data from key informants reveals several explanatory mechanisms of observed differences.
Keywords: _z:class:countries; comparative analysis; environmental degradation; informal settlements; mixed methods; women’s empowerment

Conditional nationally determined contributions in the Paris Agreement: foothold for equity or Achilles heel? - Pauw, W.P. (Climate policy, 2020)

The linkages between population change and climate change in Africa - Price, R. (Institute of Development Studies, 2020)
Keywords: _z:class:countries

Lessons from African champion countries for demographic transition - Quak, E. (2020)
Keywords: _z:class:countries

CO2 and Greenhouse Gas Emissions - Ritchie, H.; Roser, M. (2020)

It’s time for the Green Human Development Index’ - Robeyns, I. (2020)

The right climate to learn: Education in a changing climate - School, Send My Friend (2020)
Keywords: _z:class:countries

CBE Thermal Comfort Tool : online tool for thermal comfort calculations and visualizations - Tartarini, F.; Schiavon, S.; Cheung, T.; Hoyt, T. (SoftwareX, 2020)

What about children? Implications from their subjective perception and the risk of overheating in schools - te Kulve, Marije; Hellwig, Runa T.; van Dijken, Froukje; Boerstra, Atze (Ecohouse Initiative Ltd., 2020)
Keywords: BE:RELEVANT; _z:class:countries; _z:class:themes; evidence_review_2; ⛔ No DOI found

Indoor temperature and health: a global systematic review - Tham, S.; Thompson, R.; Landeg, O.; Murray, K. A.; Waite, Thomas (Public Health, 2020)
Objectives: The objective of this study was to identify and appraise evidence on the direct and indirect impacts of high indoor temperatures on health; the indoor temperature threshold at which the identified health impacts are observed; and to summarise the evidence for establishing a maximum indoor temperature threshold for health. Study design: This is a systematic literature review and narrative synthesis. Methods: A review of the published literature using MEDLINE, EMBASE, Global Health, PsycINFO, Maternity and Infant Care, Cochrane Library, CINAHL and GreenFILE databases was conducted. The search criteria were kept broad to capture evidence from all countries and contexts; no date or study design limits were applied, except English language limits. We included studies that specifically measured indoor temperature and examined its effect on physical or mental health outcomes. Evidence was graded using the National Institutes of Health framework. Results: Twenty-two articles were included in the review, including 11 observational, seven cross-sectional and three longitudinal cohort studies and one prospective caseecontrol study. Eight main health effects were described: respiratory, blood pressure, core temperature, blood glucose, mental health and cognition, heat-health symptoms, physical functioning and influenza transmission. Five studies found respiratory symptoms worsened in warm indoor environments, with one reporting indoor temperatures higher than 26 C, which was associated with increased respiratory distress calls being made to paramedics (odds ratio ¼ 1.63, P ¼ 0.056). Core symptoms of schizophrenia and dementia were found to be significantly exacerbated by indoor heat (the latter above a 26 C cumulative exposure threshold). The absorption of insulin doses in people with type one diabetes was also significantly accelerated in hot indoor environments. Only five studies reported the temperatures at which health outcomes worsened, with thresholds ranging between 26 C and 32 C. However, owing to insufficient data and the heterogeneity of the included studies (design, population, setting, exposure measures, outcomes and location), metaanalysis and an upper threshold determination was not feasible. Conclusions: High indoor temperatures affect aspects of human health, with the strongest evidence for respiratory health, diabetes management and core schizophrenia and dementia symptoms. Exacerbation of symptoms in warm indoor environments has clinical relevance to at-risk groups and those caring for them. Care staff and facility managers need to be vigilant of high temperatures in care environments and should incorporate indoor overheating into their risk management and sustainability and/or climate change adaptation plans. The indoor temperature threshold at which adverse effects begin to occur remains unclear as studies seldom report the exposureeresponse relationship over a temperature continuum. Until there is extensive scientific data to support a maximum indoor temperature threshold, 26 C may be the most suitable indoor temperature for atrisk groups in keeping with the existing guidance documents. Crown Copyright © 2019 Published by Elsevier Ltd on behalf of The Royal Society for Public Health. All rights reserved.
Keywords: BE:RELEVANT; _z:class:countries; _z:class:themes; evidence_review; oa:keyword:indoor temperature; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T10190 Health Effects of Air Pollution; oa:topic:T11244 Impact of Climate Change on Human Health; openalex:n:1; openalex:yes

Human Development Report 2020 The Next Frontier Human Development and the Anthropocene - U.N.D.P. (2020)
Keywords: _z:class:countries

COVID-19 is a serious threat to aid to education recovery - U.N.E.S.C.O. (Policy Paper 41, 2020)

The impact of climate displacement on the right to education - U.N.E.S.C.O. (UNESCO Paris, 2020)

Towards an equal future: Reimagining girls’ education through STEM - U.N.I.C.E.F. (2020)

Stronger together in crises: 2019 annual results report - Wait, Education Cannot (2020)

Sample size estimation in clinical research: from randomized controlled trials to observational studies - Wang, X.; Ji, X. (Chest, 2020)

Short summary report for Realdania - Wargocki, Pawel (International Centre for Indoor Environment and Energy, 2020)
Summary of the research on how thermal, air quality, noise reduction, lighting, and daylighting improvements in classrooms benefit children’s educational attainments
Keywords: _z:class:countries; _z:class:themes

The full report of Realdania - Wargocki, Pawel; Wyon, David P (International Centre for Indoor Environment and Energy., 2020)
This report summarises published research on how children’s performance of schoolwork in primary and secondary schools and their subsequent educational attainments are affected by classroom temperature, air quality, noise, and lighting. The main conclusions (Items 1-20) are set out below as unequivocal statements that are validated by the findings of the detailed reviews of research published that form the bulk of the report, or by the findings of research published since those reviews were written and in some cases published. Bibliographic references to the original research reports are to be found in each detailed review or in the list that appears below. To each statement has been added brief comments based on other relevant findings noted in the reviews. A short list of what is NOT yet known about the effects of each indoor climate factor is then appended (Items 5, 10, 15, and 20), the implications for energy conservation (Items 21-25) and priorities for future research in this area (Items 26-30) are suggested. This report’ssummaryisprovidedseparatelywiththecurrentrecommendations and requirements of indoor environmental quality conditions in schools. Four appendixes contain detailed reviews based on which the present report was prepared.
Keywords: _z:class:countries; _z:class:themes; evidence_review_2

What difference does disaster risk reduction make? Insights from Vanuatu and tropical cyclone Pam - Webb, J. (Regional Environmental Change, 2020)

Relationship Between Classroom Physical Environment and Students’ Academic Achievement at Secondary Level - Zaman, Fakhar; Begum, Shabnam; Ullah, Mati (2020)
For fruitful teaching and learning process, physical classroom environment is very essential. The key purpose of the study was examining relationship between classroom physical environment and students’ academic achievement at Secondary Level in Southern KP. The study was descriptive in nature. The population of the study comprised of the five districts in Southern KP in which (n = 400) respondents were taken as sample of the study by applying stratified random sampling technique in which 200 were urban (100 male students and 100 female students). Similarly, 200 were rural students (100 male and 100 female). From each selected district, 05 urban and 05 rural male schools and similarly 05 urban and 05 rural female schools were randomly selected among these 05 districts. Data were collected from 20 schools. A self-developed questionnaire was used to find views of the students about their physical class room environment. Cronbach Alpha was applied. The collected data was entered into SPSS. Results and conclusions were drawn according to the nature of study. Thus, some recommendations were suggested at the end for the further improvement and future researcher.
Keywords: BE:LMIC; BE:RELEVANT; _z:class:countries; _z:class:themes; evidence_review_2

Enhancing Physical Learning Environment for Autism - Ghazali, Roslinda; Md. Sakip, Siti Rasidah; Samsuddin, Ismail (Asian Journal of Behavioural Studies, 2019)
The designated learning environment for autism is unique and should consider sensory issues to overcome their needs. The purpose of this paper is to review related articles to gain a better understanding of autism needs regarding sensory design, sensory issues, sensory space, internal environment, and physical learning environment. This paper will outline the sensory design of the physical learning environment that would impact the sensory design towards the physical learning environment. This research paper concludes to be a guide for the designer to overcome sensory input so that autistic can learn more efficiently and develop with less stress.
Keywords: BE:LMIC; BE:RELEVANT; _z:class:countries; _z:class:themes; oa:keyword:autism; oa:keyword:physical learning environment; oa:topic:T10106 Autism Spectrum Disorders; oa:topic:T12207 Assistive Technology and Disabilities; openalex:n:1; openalex:yes

Accessibility Situation of Persons with Disabilities in South-Eastern Coast of Bangladesh in Relation to Climate Change and Disaster Management - Barua, Prabal; Molla, Morshed Hossan (2019)
The research attempts to explore the accessibility and contemporary situation of Persons with Disabilities (PWDs) in the eastern coastal belt of Bangladesh in relation to climate change and disaster management. The study was conducted with a household survey of 206 PWDs from the Southern Coast of Bangladesh. Inaccessible conditions were existing at home and homestead areas of PWDs in the whole study area. The overall findings of the report identify a lot of big gaps or undesired conditions about the accessibility of disabling peoples in the study area. At this point of views, the researchers suggested for Enumeration of Disabling Peoples, Establishment of Rights & Protection of Persons with Disabilities Act 2013, Setup ‘Accessible Spot Point’ in rural area, Strengthening of warning system Establishment of ‘Building Code’, PWDs friendly shelter centre and Strengthening of Organization of Persons with Disabilities (DPOs) for effective disaster management strategy development to PWDS in Bangladesh.
Keywords: _z:class:countries; openalex:import; openalex:yes

Environmental Education: A Tool for Creation of Awareness Onadaptation to Climate Change in Nigeria - Olatunde-Aiyedun, Tope Gloria (2019)
This study assessed the role of Environmental Education as a tool for the creation of awareness on adaptation to climate change in Nigeria. The descriptive survey research design was adopted for the study. Five research questions and five hypotheses were raised and formulated respectively for analyses and testing in the study. The population of the study comprised of all public primary, secondary, and tertiary institutions as well as rural and urban settlers in the six (6) geopolitical zones in Nigeria. The sample size comprised of 300 respondents respectively made up of 60 pupils, 60 secondary students, 60 tertiary students, 60 rural settlers and 60 urban settlersselectedrandomly from six geopolitical zones of Nigeria. The research instrument used for data collection was a 15structured questionnaireitems rated on a 4-point Likert scale, with response options of Strongly Agree (SA); Agree (A); Disagree (D); and Strongly Disagree (SD).The responses of the respondents were presentedin simple statistical table and analysed using Mean (x) and Grand Mean (gx) while Chi-Square (x2) was used to test the hypotheses, generated at 0.05 level of significance. The findings of the study revealed that Environmental Education (EE) can be used in primary, secondary and tertiary institutions as well as rural and urban settlements to create awareness on adaptation to climate change in Nigeria. Based on the findings, it was recommended that EE, which is a major tool for creation of awareness on adaptation to climate change should be taught with outdoor practical and field studies, and as a compulsory subject at all levels of education in Nigeria.
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; oa:keyword:environmental education; oa:sdg:13 Climate action; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Environmental Education: A Tool for Creation of Awareness Onadaptation to Climate Change in Nigeria - Olatunde-Aiyedun, Tope Gloria (2019)
This study assessed the role of Environmental Education as a tool for the creation of awareness on adaptation to climate change in Nigeria. The descriptive survey research design was adopted for the study. Five research questions and five hypotheses were raised and formulated respectively for analyses and testing in the study. The population of the study comprised of all public primary, secondary, and tertiary institutions as well as rural and urban settlers in the six (6) geopolitical zones in Nigeria. The sample size comprised of 300 respondents respectively made up of 60 pupils, 60 secondary students, 60 tertiary students, 60 rural settlers and 60 urban settlersselectedrandomly from six geopolitical zones of Nigeria. The research instrument used for data collection was a 15structured questionnaireitems rated on a 4-point Likert scale, with response options of Strongly Agree (SA); Agree (A); Disagree (D); and Strongly Disagree (SD).The responses of the respondents were presentedin simple statistical table and analysed using Mean (x) and Grand Mean (gx) while Chi-Square (x2) was used to test the hypotheses, generated at 0.05 level of significance. The findings of the study revealed that Environmental Education (EE) can be used in primary, secondary and tertiary institutions as well as rural and urban settlements to create awareness on adaptation to climate change in Nigeria. Based on the findings, it was recommended that EE, which is a major tool for creation of awareness on adaptation to climate change should be taught with outdoor practical and field studies, and as a compulsory subject at all levels of education in Nigeria.
Keywords: _z:class:countries; _z:class:themes; oa:keyword:environmental education; oa:sdg:13 Climate action; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Global Status Report for Buildings and Construction 2019 – Analysis - International Energy Agency (2019)
Global Status Report for Buildings and Construction 2019 - Analysis and key findings. A report by the International Energy Agency.
Keywords: evidence_review

Exploring the effects of an environmental education course on the awareness and perceptions of climate change risks among seventh and eighth grade learners in South Africa - Nkoana, Elvis Modikela (International Research in Geographical and Environmental Education, 2019)
Anthropogenic climate change caused by the release of excessive greenhouse gas (GHG) emissions into the atmosphere is the biggest challenge of the 21st century. Man-made climate change threatens the biosphere on which all forms of life depend. Climate change requires human effort to manage the impact of extreme events such as droughts, flooding, and heatwaves. As such, human decision-making processes are crucial for the successful management of climate change impacts. The decision-making process include awareness and perception of climate change risks. Awareness and perceptions of (natural) hazard risk are determinants of human response (adaptation) to environmental shocks (climate change and variability). To this end, this study explores the effects of an environmental education course on the awareness and perception of climate change risks among seventh and eighth grade learners in South Africa. This exploratory study collected primary data through the implementation of emergent participation tools in focus group discussions with learners (n = 23). These emergent participation tools are the Problem tree and the Hazard, Impact and Vulnerability matrix. Responses from a comparison group were juxtaposed with those of environmental education beneficiaries through a qualitative content analysis technique. Findings reveal that environmental awareness has an effect on perceptions of current and future climate change risks. Learners are concerned about short-term risks more than long-term risks. Short-term risks such as meeting basic needs and dealing with criminality are priorities over long-term risks such as climate change. A daily struggle to meet these basic needs represent the local context and discourse within which learners view and experience their world. Learners do perceive the causal linkages between different climatic and non-climatic risks. Drawing such causal linkages raises awareness and perception and this cause-effect relationship is necessary for behavioural change. Environmental education is necessary to raise the awareness and perceptions of learners to environmental risks such as climate change. More studies are required to explore the topic of environmental education on raising awareness and perceptions of environmental risks such as climate change with head of households.
Keywords: C:South Africa; _z:class:countries; _z:class:themes; oa:keyword:climate change risks; oa:keyword:environmental education; oa:keyword:environmental education course; oa:sdg:13 Climate action; oa:topic:T10119 Sustainability Transitions and Resilience in Social-Ecological Systems; 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

A bellweather for climate change and disability: educational needs of rehabilitation professionals regarding disaster management and spinal cord injuries - Alexander, Marcalee; Alexander, Jagger; Arora, Mohit; Slocum, Chloe; Middleton, James (Spinal Cord Series and Cases, 2019)
Cross-sectional survey. Persons with disabilities are disproportionately impacted by extreme weather disasters and climate change. Individuals with spinal cord injury (SCI) are especially at risk due to inability to control their body temperature and mobility concerns. We surveyed rehabilitation professionals in the field of SCI to determine their experiences, concerns and educational needs regarding natural disasters, climate change and sustainability and the effects on their clientele. Online survey available to an international cohort. The survey was developed by the authors and conducted in 2019. It was distributed amongst various international health care organizations whose members care for persons with SCI. Descriptive statistics and chi-square test for association were performed using Microsoft Excel 2016. Of 125 respondents, 50% were from Europe, 18% from North America, and 18% from Asia; 74% were physicians and 13% physical therapists. In total 57.6% believed climate change had impacted their client’s health and well-being. Respondents from North America were significantly less likely to report climate change had an impact on their patient’s health than those from Asia or Europe (p < 0.01). In total 82.5% of respondents thought professionals should be concerned with sustainability and 85.5% were interested in further education. Most respondents acknowledged a need for more information related to the disasters, climate change, and disability. Results underscore the need for further research, professional, and consumer education.
Keywords: _z:class:countries; openalex:import; openalex:yes

An application status review of computational intelligence algorithm in GSHP field - Zhou, Shiyu; Liu, Dawei; Cao, Shubo; Liu, Xiaoping; Zhou, Yucheng (Energy and Buildings, 2019)
Computational intelligence algorithm (CIA) has been widely applied in HVAC fields and several papers have reviewed about those researches and applications. However, their application study in GSHP system are still required to be further enriched. Since the structure of GSHP system is more complex than that of conventional HVAC system, whose operation has obvious nonlinear and dynamic characteristics. CIAs such as artificial neural network (ANN), adaptive network-based fuzzy inference system (ANFIS) and support vector machine (SVM) are suitable for the analysis of such nonlinear problems. This paper conducted a review about the researches relating to CIA applications in GSHP system up to now. These studies were divided into five sections according to the procedure from the system design to system operation of GSHP system, i.e., air conditioning load forecasting, basic design data acquisition (soil thermal properties and ground temperature), heat transfer property and design of ground heat ex-changer, system performance and optimization, together with system control and diagnosis. It has been found from the review that, for the application of CIA in GSHP field, there are some aspects’ works have been excessively done while some other areas’ works have been rarely involved or deviate from GSHP system. For example, although many CIA applications on GSHP system performance prediction and system control strategies have been done, most of them were accomplished basing on small experimental platform or software simulation, while few of CIA applications were conducted towards to actual GSHP system. Ground temperature predictions with CIA technologies were also carried out frequently, but the CIA prediction depths mainly concentrate within 100 cm, which is far from the usual buried depth of GSHP system. In summary, there are many excellent CIA models have been promoted and applied to GSHP field, but the application scope and degree should be further strengthened in the future, especially for the CIA model predictive control that can be directly applied to the actual operational GSHP system, which is the critical to the system energy conservation.
Keywords: Artificial neural network; GSHP; Intelligent algorithm; Model predictive control; _z:class:countries; _z:class:themes; oa:keyword:computational intelligence algorithm; oa:keyword:gshp field; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T11225 Geothermal Energy Technology and Applications; oa:topic:T11302 Carbon Dioxide Sequestration in Geological Formations; openalex:n:1; openalex:yes

Ten principles to integrate the water-energy-land nexus with climate services for co-producing local and regional integrated assessments - Cremades, Roger; Mitter, Hermine; Tudose, N; Sánchez-Plaza, Anabel; Graves, Anil; Broekman, Annelies; Bender, Steffen; Giupponi, Carlo; Koundouri, Phoebe; Khairulbahri, Muhamad; Cheval, Sorin; Cortekar, Jörg; et al. (Science of The Total Environment, 2019)
The water-energy-land nexus requires long-sighted approaches that help avoid maladaptive pathways to ensure its promise to deliver insights and tools that improve policy-making. Climate services can form the foundation to avoid myopia in nexus studies by providing information about how climate change will alter the balance of nexus resources and the nature of their interactions. Nexus studies can help climate services by providing information about the implications of climate-informed decisions for other economic sectors across nexus resources. First-of-its-kind guidance is provided to combine nexus studies and climate services. The guidance consists of ten principles and a visual guide, which are discussed together with questions to compare diverse case studies and with examples to support the application of the principles.
Keywords: openalex:import; openalex:related

A review of the applications of artificial intelligence and big data to buildings for energy-efficiency and a comfortable indoor living environment - Mehmood, Muhammad Uzair; Chun, Daye; Zeeshan; Han, Hyunjoo; Jeon, Gyuyeob; Chen, Kuan (Energy and Buildings, 2019)
After decades of evolution and improvements, Artificial Intelligence (AI) is now taking root in our daily lives, and is starting to profoundly influence the fields of architecture and sustainability. The applications of AI to sustainable architecture include energy-efficient building design, forecasting and minimizing energy consumption, strategizing for mitigating impacts on environment and climate, and enhancements in the safety and comfort of the living environment. Due to the significant increases in internet speed and accessibility and the drops in computer prices and data storage costs in recent years, Big Data (BD) nowadays plays an important supplementary role to AI. Algorithms and computer codes have been developed for data mining and analysis. BD rejuvenates AI methods and applications in many areas, including sustainable architecture. The present paper starts with an introduction to AI history and techniques. This is followed by a discussion on how AI and BD can be used to design and operate energy–efficient commercial buildings and residential houses, followed by a review of recent applications of AI and BD to energy-efficient buildings with an emphasis on the use of machine learning (ML) and large databases. Future research topics are suggested at the end of this paper. It is reemphasized in the present paper that AI, when combined with BD, can tremendously increase the energy efficiency and cost effectiveness of buildings which are designed to provide occupants with a comfortable indoor living environment.
Keywords: Artificial intelligence; Big data; Green buildings; Sustainable architecture; _z:class:countries; _z:class:themes; oa:topic:T10121 Building Energy Efficiency and Thermal Comfort Optimization; oa:topic:T11954 Energy Efficiency in Manufacturing and Industry Sector; oa:topic:T11963 Impact of Nighttime Light Data on Various Fields; openalex:n:1; openalex:yes

Sustainability and spinal cord injury: attending to climate change and disability - Alexander, Marcalee (Spinal Cord Series and Cases, 2019)
Keywords: _z:class:countries; openalex:import; openalex:yes

Gendered attitudes toward climate change among geography students at University Namibia - Shikangalah, Rosemary (2019)
Students are considered to be a key to dealing with climate change. Their knowledge influences their attitudes, which affects their actions. The degree to which students are likely to engage with climate change depends on their attitude towards climate change. This study investigated gendered attitudes towards climate change of geography students at the University of Namibia. Using a 14-item questionnaire, a total of 56 male and 64 female students from the University of Namibia were surveyed. The results show that students have a generally positive attitude towards climate change. There is, however, a slight difference in the gendered attitudes with regards to the concern over the occurrence of climate change; on how well they think they are informed; who should be responsible for fixing climate change; and whether or not the students felt personally responsible for the occurrence of the phenomenon. It is recommended that the education system be purposely designed to influence students’ attitude for better future decision making in relation to climate change because a person’s attitude forms a fundamental framework for a meaningful way of thinking.
Keywords: C:Namibia; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:gendered attitudes; 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

Inclusion of persons with disabilities in the climate change and disaster management related rules and policies of Bangladesh: An empirical study - Molla, Morshed Hossan; Shahjahan, Mohammad; Barua, Prabal; Samia, Rokeya (2019)
The aim of the study is to investigate the inclusion of persons with disabilities (PwDs) in the climate change and disaster management related rules and policies in the coastal belt of Bangladesh. The perceptual or field data have been collected through field survey based on semi-structured questionnaire. A total 385 questionnaires were equally distributed among five study areas. The study reviewed that nearly fifteen (15) types of rules and policies have been identified among which eight (8) types of rules and policies are directly addressing the inclusion of PwDs in climate change and disaster management issues in Bangladesh. The study found that only 20 percent PwDs are included in disaster management committee in the national, district, metropolitan, municipal, upazila and union or ward levels. Although the maximum inclusion has been identified at the union level, the reason of execution is unaware of the rules of PwDs. In these circumstances, they do not get the security at shelter level and not priority during relief and rehabilitation in emergency period. While 60% of the PwDs believe that they have the ability to play roles or give an opinion in these committees. In order to, they argued that proper participation of PwDs at every planning process could ensure their dignity, security, priority and safer livelihood in coastal areas of Bangladesh.
Keywords: _z:class:countries; openalex:import; openalex:yes

Climate change resilient agricultural practices: A learning experience from indigenous communities over India - Aich, Amitava; Roy, Arindam; Dey, Dipayan (2019)
The impact of climate change on agricultural practices is rising question marks on future food security of billions of people in tropical and sub-tropical region. Recently introduced, Climate Smart Agriculture (CSA) techniques encourages the practices of sustainable agriculture, increasing adaptive capacity and resilience to shocks at multiple levels. However, in reality, it is extremely difficult to develop a single framework for climate change resilient agricultural practices for different agrarian production landscape. Agriculture accounts for nearly 30% of Indian Gross Domestic Product (GDP) and provide livelihood of nearly two-third of the population of the country. With 60% of the agricultural land still depends on rain-fed irrigation, agrarian production economy of India has become extremely vulnerable to the monsoonal anomaly, heat stress, pest invasion and increasing rate of extreme events in upcoming decades. Due to their close relationship with environment and resources, indigenous people are considered as one of the most vulnerable community due to the changing climate. In the milieu of the climate emergency, we have selected multiple indigenous tribes from different agro-ecological zones over India in the present study to explore the adaptive potential of Indigenous Traditional Knowledge (ITK) based agricultural practices against climate change. The selected tribes are inhabitants of eastern Himalaya (Apatani), western Himalaya (Lahaulas), Eastern Ghat (Dongria-Gondh) and Western Ghat (Irular) representing rainforest, cold desert, moist upland and rain shadow landscape respectively. The effect of climate change over the respective regions has been identified using different IPCC scenario and agricultural practices resilient to climate change are quantified. Primary results indicate moderate to extreme susceptibility and preparedness of the tribes against climate change due to the exceptionally adaptive ITK based agricultural practices. A policy brief has been prepared where knowledge exchange and technology transfer among the indigenous tribes have been suggested to achieve complete climate change resiliency.
Keywords: C:India; _z:class:countries; _z:class:themes; oa:keyword:indigenous communities; oa:keyword:resilient agricultural practices; oa:sdg:2 Zero hunger; oa:topic:T10439 Adaptation to Climate Change in Agriculture; openalex:import; openalex:yes

Transformative Learning for Global Change? Reflections on the Wascal Master Programme in Climate Change and Education in the Gambia - Eguavoen, Irit; Tambo, Erick (2019)
African universities could be appropriate settings to start a process of creative rethinking about alternative economic and climate-friendly development pathways that lead to socially inclusive growth and the alleviation of poverty. Education, capacity building, and a transformative learning agenda have come into academic and political focus. This chapter begins with a brief conceptual overview of the current research and work streams on climate change communication and education, followed by an introduction to climate change activities in The Gambia that sets the stage for an empirical examination of a master programme training West African students in ‘Climate Change and Education’ at the University of The Gambia. The findings illustrate practical challenges, students’ backgrounds and motivations, contestations over the curriculum, as well as the university’s restricted bargaining power due to its dependency on a single foreign donor. While embracing inter- and transdisciplinarity, the transformative learning agenda called for by European scholars has not yet been taken up.
Keywords: C:Gambia; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:global change; oa:topic:T12345 Transformative Learning Theory and Practice; oa:topic:T13839 Volunteer Tourism and Global Development Impacts; openalex:import; openalex:n:1; openalex:yes

Can grassroots organisations (GROs) replace government policy towards creating a sustainable climate change education programme in Singapore? - Wi, Andy (2019)
Keywords: C:Singapore; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T13228 Multiculturalism and Social Control in Singapore; openalex:import; openalex:yes

Sociographic analysis of climate change awareness and pro-environmental behaviour of secondary school teachers and students in Nsukka Local Government Area of Enugu State, Nigeria - Eze, Emmanuel (International Research in Geographical and Environmental Education, 2019)
This study examined students’ and teachers’ awareness of climate change and their willingness to adopt pro-environmental behaviour in Nsukka Local Government Area of Enugu State Nigeria, using sociographical variables. Participants were drawn from Senior Secondary 1–3 students, as well as their teachers, all from secondary schools across the rural and urban geographical divide. Sociographical factors that have considerable effects on awareness of climate change and willingness to adopt pro-environmental behaviour were ascertained using the instrument “Awareness of Climate Change and Pro-Environmental Behaviour Willingness Questionnaire (ACCPEBWQ),” made up of 44 items on a 4-point Likert type format. A sample of 312 students and 56 teachers was used for the study with descriptive, mean, t test, ANOVA statistics, and correlation techniques employed in data analysis. Gender of students shows a significant difference in awareness of climate change and willingness to embrace pro-environmental behaviour, with male students showing both higher awareness and willingness to engage in pro-environmental behaviour. For teachers, though no significant effects were established for different variables tested in the study, they had a significantly higher awareness of climate change mean scores than students. There was a high positive and significant relationship between the level of awareness of climate change and the level of willingness to adopt pro-environmental behaviour. The study calls for increased dissemination of climate change information among females and the association of climate change issues pto prevalent environmental conditions, for better comprehension by art students.
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; oa:keyword:climate change awareness; 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; ⛔ No DOI found

Implementation of Curriculum and Its Contribution to Awareness of Climate Change Among Teachers and Learners in Secondary Schools in Githunguri Sub-County, Kiambu County, Kenya - Kariuki, Charles Ndiritu (Strategic Journal of Business & Change Management, 2019)
This study sought to the extent to which implementation of the curriculum contributed to awareness of climate change among teachers and students in secondary schools in Githunguri Sub-county of Kiambu County in Kenya. To achieve the set objectives, the study adopted a descriptive survey research design. The study adopted purposive, stratified and simple random sampling techniques to compose a representative sample. Using stratified sampling technique, schools were divided into either boys, girls or mixed before selecting a sample of 10 schools. From the sampled schools, stratified sampling was used to divide teachers into departments before employing simple random sampling technique to select a sample of 8 teachers from each of the sampled schools making a total sample of 80 teachers. Purposive sampling technique was used to select form four students before employing simple random sampling to select a sample of 10 students from each of the schools making a total of 100 students as part of the sample. Purposive sampling was also used to select a sample of 8 subjects for content analysis. Purposive sampling technique was also employed to select 8 respondents from the curriculum developer in Kenya. The study used a thematic area content analysis template to undertake content analysis on sampled subjects. Data from teachers and students was obtained using different questionnaires for each of the categories. An interview guide was used to collect data from sampled Kenya Institute of Curriculum Development officers. Quantitative data collected was analysed using inferential statistics while qualitative data was analysed through descriptions and narratives. Statistical Package for Social Science and Minitab programs were utilised to enhance quality analysis. On the relationship between implementation of curriculum and awareness among teachers, the chi-square value was greater than the significant value, 0.794>0.659, and therefore the relationship was not significant. Results of this study were likely to be beneficial in policy, practical and theoretical dimensions. Key Words: Climate Change, Curriculum implementation CITATION: Implementation of curriculum and its contribution to awareness of climate change among teachers and learners in secondary schools in Githunguri Sub-County, Kiambu County, Kenya. The Strategic Journal of Business & Change Management, 6 (3), 703 – 715.
Keywords: C:Kenya; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Influence of Physiological Variability on Thermal Comfort: A Numerical Evaluation - Walther, Edouard; Mishra, Asit; Forcadell, Vincent (2019)
Thermal comfort indexes based on physiological models are generally based on the morphology of an average , male individual. The present work explores the effects of physiological variability on the calculation of thermal comfort using the Standard Effective Temperature (SET *). A semi-probabilistic approach is used for the study, with French population demo-graphics as input. Parameters in the physiological model behind the SET * index that vary with human physiology were generated according to probabilistic laws and data from the literature. The results demonstrate that the temperature acceptability range determined by the model is exceeded for this population. However, standard deviations obtained proved to be relatively low compared to field data from literature. A sensitivity analysis showed that the most influential parameters of the model are sex, age, height and BMI.

Comparison of grey-box model and artificial neural network – prediction of surface condensation in residential space - Ju, E. J.; Lee, J. H.; Park, S. H.; Park, C. S.; Yeo, M. S. (IOP Conference Series: Materials Science and Engineering, 2019)
To apply real-time predictive control using automated devices for minimizing the risk of surface condensation in a residential space, the authors first developed a nodal network model that simulates the flow of moist air and the thermal behavior of a target area with the given boundary conditions of a space. The lumped model was enhanced using a parameter estimation technique based on the measured temperature, humidity, and schedule data. However, the humidity model prediction performance was still outside the valid range. A data-driven model was then developed using an artificial neural network (ANN) with the measured data that was formerly used to enhance the lumped model. Taking into consideration the possible uncertain characteristics of moist air, it was found that the data-driven model was a more suitable option for predicting the condensation as compared to the physics-based and grey-box models. With a stable range of errors between the simulation outputs and measured data, the ANN model could be useful for model predictive control.
Keywords: _important; _z:class:countries; _z:class:themes; oa:keyword:surface condensation; oa:sdg:11 Sustainable cities and communities; 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

Climate change and adolescents in South Africa: The role of youth activism and the health sector in safeguarding adolescents’ health and education - Chersich, Matthew; Scorgie, Fiona; Wright, Caradee Y.; Mullick, Saiqa; Mathee, Angela; Hess, Jeremy; Richter, Marlise; Rees, Helen (South African Medical Journal, 2019)
Keywords: C:South Africa; _z:class:countries; _z:class:themes; oa:keyword:adolescents; oa:keyword:youth activism; oa:sdg:13 Climate action; oa:topic:T10119 Sustainability Transitions and Resilience in Social-Ecological Systems; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T11336 Indoor Air Pollution in Developing Countries; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Seeking a disability lens within climate change migration discourses, policies and practices - Bell, Sarah; Tabe, Tammy; Bell, Stephen (Disability & Society, 2019)
Around 15% of the global population is estimated to live with disability. With the Millennium Development Goals failing to recognise disability issues, the Sustainable Development Goals seek to promote a stronger focus on the alleviation of poverty and inequality amongst disabled people. Since then, the vulnerability of disabled people has been highlighted within international climate change agreements. Yet a critical disability lens is largely lacking from broader aspects of climate change adaptation planning. Focusing primarily on examples from the Asia-Pacific region (a region including low-lying coastal areas and islands that are frequently highlighted as exemplars of communities on the front line of climate change), this article discusses the need to integrate critical insights from disability studies into current understandings of climate change adaptation and mobility if we are to facilitate more inclusive, democratic and equitable adaptation in the face of climate change.
Keywords: _z:class:countries; openalex:import; openalex:yes

Good practices & knowledge repository (2019)
The GCTF The Hague Good Practices on the Nexus between Transnational Organized Crime and Terrorism (Nexus Good Practices) are non-binding practices developed by UNICRI as part of the Nexus Initiative. The Nexus Good Practices have been developed following different regional consultations and are intended to provide GCTF Members and other interested stakeholders with a non-exhaustive list of recommendations to assist them in developing policies and strategies to counter different manifestations of the nexus between transnational organized crime and terrorism.
Keywords: openalex:import; openalex:related

A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings - Chaudhuri, Tanaya; Soh, Yeng Chai; Li, Hua; Xie, Lihua (Applied Energy, 2019)
Building air-conditioning and mechanical ventilation (ACMV) systems are responsible for significant energy consumption and yet, dissatisfaction with the thermal environment is prevalent among the occupants, revealing a widespread disparity between energy-efficiency and indoor thermal-comfort in buildings. This paper presents an indoor-climate control framework that bridges this gap between energy and comfort. The framework comprises two main components: a thermal-comfort prediction model, and an optimization algorithm termed as the optimal air temperature (OAT) algorithm; they collectively act as an intelligent mediator between the occupant and the ACMV system. Firstly, the ACMV energy consumption is modelled as a function of air temperature, and three operating frequencies of cooling components using a feedforward neural network. Secondly, the thermal-comfort prediction model predicts the thermal state index (TSI: Cool-Discomfort/Comfort/Warm-Discomfort). Thirdly, depending on the predicted TSI, the OAT algorithm locates the optimal operating state such that Comfort state is achieved using the minimum ACMV energy consumption. Proposed framework exhibits an energy saving potential of 36.5%. It is found that 25 °C is the ideal air temperature for desired comfort with minimum energy expense in the tropical buildings. Additionally, six different TSI predictive models including two general and four personal comfort models are implemented to validate the framework. The study is substantiated with extensive real human experiments in controlled thermal environment. The proposed method is scalable for its applicability with any comfort-prediction model, and adaptive for its data-driven architecture. It exhibits the potential to achieve both occupant-comfort and energy-saving through integration with the Internet-of-Things for realizing comfort-energy balanced buildings.
Keywords: Artificial neural network; Building ACMV energy; Energy saving; Indoor climate control; Machine learning; Thermal comfort; _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:T10766 Urban Heat Islands and Mitigation Strategies; oa:topic:T11529 Refrigeration Systems and Technologies; openalex:n:1; openalex:yes

A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings - Chaudhuri, Tanaya; Soh, Yeng Chai; Li, Hua; Xie, Lihua (Applied Energy, 2019)
Building air-conditioning and mechanical ventilation (ACMV) systems are responsible for significant energy consumption and yet, dissatisfaction with the thermal environment is prevalent among the occupants, revealing a widespread disparity between energy-efficiency and indoor thermal-comfort in buildings. This paper presents an indoor-climate control framework that bridges this gap between energy and comfort. The framework comprises two main components: a thermal-comfort prediction model, and an optimization algorithm termed as the optimal air temperature (OAT) algorithm; they collectively act as an intelligent mediator between the occupant and the ACMV system. Firstly, the ACMV energy consumption is modelled as a function of air temperature, and three operating frequencies of cooling components using a feedforward neural network. Secondly, the thermal-comfort prediction model predicts the thermal state index (TSI: Cool-Discomfort/Comfort/Warm-Discomfort). Thirdly, depending on the predicted TSI, the OAT algorithm locates the optimal operating state such that Comfort state is achieved using the minimum ACMV energy consumption. Proposed framework exhibits an energy saving potential of 36.5%. It is found that 25 °C is the ideal air temperature for desired comfort with minimum energy expense in the tropical buildings. Additionally, six different TSI predictive models including two general and four personal comfort models are implemented to validate the framework. The study is substantiated with extensive real human experiments in controlled thermal environment. The proposed method is scalable for its applicability with any comfort-prediction model, and adaptive for its data-driven architecture. It exhibits the potential to achieve both occupant-comfort and energy-saving through integration with the Internet-of-Things for realizing comfort-energy balanced buildings.
Keywords: Artificial neural network; Building ACMV energy; Energy saving; Indoor climate control; Machine learning; Thermal comfort; _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:T10766 Urban Heat Islands and Mitigation Strategies; oa:topic:T11529 Refrigeration Systems and Technologies; openalex:n:1; openalex:yes

Climate Change Education for Sustainable Development: Lessons for Nigeria - Mailumo, Daniel; Igbe, Simeon; Mailumo, Pius (2019)
Keywords: C:Nigeria; _z:class:countries; _z:class:themes; _z:no_pdf; _z:not_duplicate; oa:keyword:climate change; oa:keyword:climate change education; oa:keyword:sustainable development; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T13530 Climate Change and Environmental Impact; oa:topic:T14296 Climate Change and Sustainable Development; openalex:import; openalex:n:1; openalex:yes

Climate Change Mainstreaming in Extension Agents Training Curricula: A Case of Mopani and Vhembe District, Limpopo Province, South Africa - Zikhali, Zafezeka Mbali; Mafongoya, Paramu; Mudhara, Maxwell; Jiri, Obert (Journal of Asian and African Studies, 2019)
This study assessed the provision of informal training offered by the Limpopo Department of Agriculture, South Africa, to agricultural extension officers (AEOs). The study used surveyed 90 public extension officers purposively sampled. There were statistically significant differences in extension officers’ exposure to climate change between their education levels and in the provision of climate change training between extension officers’ work experience ( P⩽0.05). The study concluded that the majority of AEOs have not been fully exposed to climate information prior to their employment. This suggests that the information gap in Agricultural Extension and Advisory Services (AEAS) stems from the slow mainstreaming and integration of climate change information.
Keywords: C:South Africa; _z:class:countries; _z:class:themes; oa:keyword:climate change mainstreaming; oa:keyword:extension agents training curricula; oa:sdg:13 Climate action; oa:topic:T10367 Agricultural Innovation and Livelihood Diversification; oa:topic:T10439 Adaptation to Climate Change in Agriculture; oa:topic:T12904 Agricultural Education and School Gardening Research; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Indigenous Knowledge Systems and the Teaching of Climate Change in Zimbabwean Secondary Schools - Tanyanyiwa, Vincent Itai (SAGE Open, 2019)
Indigenous African education grew out of the immediate environment, real or imaginary, where people had knowledge of the environment. Indigenous education inculcated a religious attitude that imbued courtesy, generosity, and honesty. At colonization, Africans were thought of as primitive although they had their own systems, contents, and methods of education. Colonialism signified the decline in the importance of indigenous knowledge systems (IKS). By shifting focus in the core curriculum from teaching/learning based on Western science to teaching/learning through IKS as a foundation for all education, it is anticipated that all forms of knowledge, ways of knowing, and world views be acknowledged as equally valid, adaptable, and complementary to one another in equally valuable ways. The uniqueness of indigenous people and their knowledge is inextricably connected to their lands, which are situated primarily at the social-ecological margins of human habitation such as tropical forests and desert margins. It is at these margins that the consequences of climate change manifest themselves in the following sectors: agriculture, pastoralism, fishing, hunting and gathering, and other subsistence activities, including access to water. Government policies in Zimbabwe often limit options and thus undermine indigenous peoples’ efforts to adapt. IKS is very important for community-based adaptation and mitigation actions in the agricultural sector for maintenance of resilience of social-ecological systems at a local level. This article, through interviews, document analysis, and personal observations, proposes that it is best for Zimbabwe to develop her own climate change curricula and modes of delivery that incorporates IKS.
Keywords: C:Zimbabwe; _z:class:countries; _z:class:themes; oa:sdg:13 Climate action; oa:topic:T12160 Decolonizing Education in African Context; oa:topic:T12635 Struggle for National Identity in Zimbabwean History; oa:topic:T13504 Ethiopia-Eritrea Relations and Society; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Institutional Change through Social Learning: Climate Change Policy Gaming in Kenya - Onencan, Abby Muricho (2019)
Complex and uncertain societal problems cannot be addressed by technical solutions that rely solely on predictions. Institutions that entirely rely on predictions, repeat the same actions (routine), with little reflection on the impact of these technological solutions upon the socio-technical system. Though routine is beneficial for stability and continuity of any institution, it may stifle reflection and make it harder for change. When an institution does not change, it cannot innovate nor adapt to changing circumstances. Social learning (SL) has been proposed to facilitate institutional change. SL is a change in societal understanding, achieved through social interactions, which eventually gets situated within broader social networks. In principle, SL holds a promise in addressing the problem of routinised, non-adaptive institutions. Nevertheless, there is limited evidence on whether SL does indeed lead to institutional change. This PhD research uses policy gaming to assess whether SL can lead to institutional change in the Nzoia River Basin. The results indicate that SL has the potential to change routine-based institutions and generate adaptive capacity. The outcomes also indicate the need for the following profound institutional changes in Nzoia River Basin: Artefacts: Replace current WRM structures with configurations that respect the river, and support the sustainable management of the drainage basin, as a whole. Values: Value water more than spatial, agricultural and energy-production plans and make water the structuring element within the Nzoia River Basin. This means that any proposed laws, regulations, practices and norms that intend to utilise the scarce water resources unsustainably should not be supported. Underlying Assumptions: Question underlying assumptions, and make transformations to existing laws, regulations, values, norms and actor-networks to build adaptive capacity.
Keywords: C:Kenya; _z:class:countries; _z:class:themes; oa:keyword:climate change policy gaming; oa:keyword:kenya; oa:topic:T10119 Sustainability Transitions and Resilience in Social-Ecological Systems; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

The relationship between classroom temperature and children’s performance in school - Wargocki, Pawel; Porras-Salazar, Jose Ali; Contreras-Espinoza, Sergio (Building and Environment, 2019)
The present paper reports a meta-analysis of published evidence on the effects of temperature in school classrooms on children's performance in school. The data from 18 studies were used to construct a relationship between thermal conditions in classrooms and children's performance in school. Psychological tests measuring cognitive abilities and skills, school tasks including mathematical and language-based tasks, rating schemes, and tests used to assess progress in learning including end-of-year grades and the examination results were considered as indicators of children's performance Due to the lack of complete measurements, thermal conditions were characterized by measured classroom temperatures. To create the relationship, the fractional change in performance of psychological tests and school tasks was regressed against the average temperature at which the change was recorded; all published data were used regardless of whether the change in learning outcome changed significantly with temperature. For other learning outcomes, no relationship was created because the data were insufficient. The relationship derived in the analysis shows that the performance of psychological tests and school tasks can be expected to increase on average by 20% if classroom temperatures are lowered from 30 °C to 20 °C and that the temperature for optimal performance is lower than 22 °C. The relationship is valid only for temperate climates. It requires verification for other climates and extensions to temperatures lower than 20 °C and higher than 30 °C.
Keywords: BE:Annotated; BE:RELEVANT; BE:temperature; Children; Cognitive performance; Elementary schools; Learning; Temperature; Thermal environment; _z:class:countries; _z:class:themes; evidence_review_2; oa:keyword:classroom temperature; 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; type:meta-analysis

The relationship between classroom temperature and children’s performance in school - Wargocki, Pawel; Porras-Salazar, Jose Ali; Contreras-Espinoza, Sergio (Building and Environment, 2019)
The present paper reports a meta-analysis of published evidence on the effects of temperature in school classrooms on children's performance in school. The data from 18 studies were used to construct a relationship between thermal conditions in classrooms and children's performance in school. Psychological tests measuring cognitive abilities and skills, school tasks including mathematical and language-based tasks, rating schemes, and tests used to assess progress in learning including end-of-year grades and the examination results were considered as indicators of children's performance Due to the lack of complete measurements, thermal conditions were characterized by measured classroom temperatures. To create the relationship, the fractional change in performance of psychological tests and school tasks was regressed against the average temperature at which the change was recorded; all published data were used regardless of whether the change in learning outcome changed significantly with temperature. For other learning outcomes, no relationship was created because the data were insufficient. The relationship derived in the analysis shows that the performance of psychological tests and school tasks can be expected to increase on average by 20% if classroom temperatures are lowered from 30 °C to 20 °C and that the temperature for optimal performance is lower than 22 °C. The relationship is valid only for temperate climates. It requires verification for other climates and extensions to temperatures lower than 20 °C and higher than 30 °C.
Keywords: BE:Annotated; BE:RELEVANT; BE:temperature; Children; Cognitive performance; Elementary schools; Learning; Temperature; Thermal environment; _z:class:countries; _z:class:themes; oa:keyword:classroom temperature; 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; type:meta-analysis

What Do Tanzanian Parents Want from Primary Schools—and What Can Be Done about It? - Solomon, Samuel; Zeitlin, Andrew (Research on Improving Systems of Education (RISE), 2019)
Key Points RISE researchers ran a ‘discrete choice’ experiment among parents of school-aged children. They find: • Parents’ choices are driven by proximity and learning quality, with little additional role for class sizes or infrastructure quality. • Parents’ willingness to walk for learning outcomestheir tradeoff between distance and quality—varies widely by region. • Regional variation in willingness to walk for learning is not reflected in the mix of services provided by the school system.
Keywords: C:Tanzania; _genre:PR-primary_research; _z:class:countries; _z:class:themes; evidence_review_2

Battle for the thermostat: Gender and the effect of temperature on cognitive performance - Chang, Tom Y.; Kajackaite, Agne (PLoS ONE, 2019)
This paper studies differences in the effect of temperature on cognitive performance by gender in a large controlled lab experiment (N = 543). We study performance in math, verbal and cognitive reflection tasks and find that the effects of temperature vary significantly across men and women. At higher temperatures, women perform better on a math and verbal task while the reverse effect is observed for men. The increase in female performance in response to higher temperature is significantly larger and more precisely estimated than the corresponding decrease in male performance. In contrast to math and verbal tasks, temperature has no impact on a measure of cognitive reflection for either gender. Our findings suggest that gender mixed workplaces may be able to increase productivity by setting the thermostat higher than current standards.
Keywords: _z:class:countries; _z:class:themes; oa:topic:T10315 Behavioral Economics and Decision Making; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T11244 Impact of Climate Change on Human Health; openalex:n:1; openalex:yes

Battle for the thermostat: Gender and the effect of temperature on cognitive performance - Chang, Tom Y.; Kajackaite, Agne (PLoS ONE, 2019)
This paper studies differences in the effect of temperature on cognitive performance by gender in a large controlled lab experiment (N = 543). We study performance in math, verbal and cognitive reflection tasks and find that the effects of temperature vary significantly across men and women. At higher temperatures, women perform better on a math and verbal task while the reverse effect is observed for men. The increase in female performance in response to higher temperature is significantly larger and more precisely estimated than the corresponding decrease in male performance. In contrast to math and verbal tasks, temperature has no impact on a measure of cognitive reflection for either gender. Our findings suggest that gender mixed workplaces may be able to increase productivity by setting the thermostat higher than current standards.
Keywords: _z:class:countries; _z:class:themes; oa:topic:T10315 Behavioral Economics and Decision Making; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T11244 Impact of Climate Change on Human Health; openalex:n:1; openalex:yes

The Level of Climate Change Science Literacy among Teachers in Seychelles: Implications for the Blue Economy - Anyanwu, Raymond Ndubisi (Asian Journal of Interdisciplinary Research, 2019)
Climate change poses a serious threat to the ocean on which the Seychelles economy depends for resources and services. To address this concern, the Seychelles National Climate Change Response Strategy recommends education about climate change in all levels of the education system to nurture young people with the capacity to address climate change impacts. This quantitative, descriptive, cross-sectional survey measures the level of climate change science literacy among teachers in Seychelles on a five-point summated scale (Extremely Low, Low, Medium, High, and Extremely High). Data was collected with a 15-item Climate Change Science Literacy Questionnaire (CCSLQ) from 572 participants representing 42.62% of the population of teachers in public schools at the time of the survey. Ethical considerations relating to access, informed consent, anonymity, and confidentiality were fulfilled. Collected data was analysed statistically with descriptive techniques (percentage, means, standard error of measurement and confidence interval) and inferential technique with the Fisher’s Exact Chi-Square test. Statistical operation was performed with the Statistical Package for the Social Science (SPSS). Results indicate that the majority of the participants (37.4%, n=214) have medium literacy regarding climate change science with misconceptions on all three domains of climate change science: causes, impacts, and solutions. Educational interventions to enhance teachers’ knowledge and understanding of climate change are recommended; otherwise the teachers will transfer inaccurate concepts to the learners. Without young Seychellois with the capacity to take action on climate change, it may be wearisome for Seychelles to achieve a smooth transition to a blue economy.
Keywords: C:Seychelles; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:climate change science literacy; oa:sdg:4 Quality education; 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

The Level of Climate Change Science Literacy among Teachers in Seychelles: Implications for the Blue Economy - Anyanwu, Raymond Ndubisi (Asian Journal of Interdisciplinary Research, 2019)
Climate change poses a serious threat to the ocean on which the Seychelles economy depends for resources and services. To address this concern, the Seychelles National Climate Change Response Strategy recommends education about climate change in all levels of the education system to nurture young people with the capacity to address climate change impacts. This quantitative, descriptive, cross-sectional survey measures the level of climate change science literacy among teachers in Seychelles on a five-point summated scale (Extremely Low, Low, Medium, High, and Extremely High). Data was collected with a 15-item Climate Change Science Literacy Questionnaire (CCSLQ) from 572 participants representing 42.62% of the population of teachers in public schools at the time of the survey. Ethical considerations relating to access, informed consent, anonymity, and confidentiality were fulfilled. Collected data was analysed statistically with descriptive techniques (percentage, means, standard error of measurement and confidence interval) and inferential technique with the Fisher’s Exact Chi-Square test. Statistical operation was performed with the Statistical Package for the Social Science (SPSS). Results indicate that the majority of the participants (37.4%, n=214) have medium literacy regarding climate change science with misconceptions on all three domains of climate change science: causes, impacts, and solutions. Educational interventions to enhance teachers’ knowledge and understanding of climate change are recommended; otherwise the teachers will transfer inaccurate concepts to the learners. Without young Seychellois with the capacity to take action on climate change, it may be wearisome for Seychelles to achieve a smooth transition to a blue economy.
Keywords: _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:climate change science literacy; oa:sdg:4 Quality education; 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

Integrating Climate Change Issues in the Upper Basic Schools of the Gambia: A Test Case of the Upper Basic School Curriculum. - Owa, Olalekan (2019)
The study reported here focuses on integrating climate change issues in School curriculum in The Gambia. The objectives are to determine the extent to which climate-related themes presently feature in the Upper Basic (lower secondary) schools of The Gambia; propose an integration plan for enhanced climate themes in the school curriculum; and identify suitable teaching methods for conveying climate change information to students. A curriculum audit of two subject areas in the Upper Basic School where Climate issues could be taught was done. Also, a determination of suitable teaching methods for climate change themes was done with a set of questionnaires administered to 104 teachers and educators. Literature review was used to determine suitable themes for integration in the school curriculum and to obtain appropriate teaching methods. The Likert scale was used to rate the suitability of the various methods. The findings revealed that there are gaps in the curriculum in relation to climate change. For example, they showed an insufficient explanation of the impacts of climate change on human health and an omission of climate change impacts on the ecosystem. Of the 14 teaching methods which constituted the items included in the questionnaire, 12 were considered appropriate for teaching climate change themes. There was no significant difference between the mean responses of educators and teachers on the appropriate methods for teaching climate change topics. The study recommends inclusion of themes such as renewable energy sources into the school curriculum.
Keywords: C:Gambia; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:climate change issues; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Climate Change, Environment and Development: The Situation of Persons with Disabilities in the Anglophone Caribbean - Morris, Floyd (The Journal of Caribbean Environmental Sciences and Renewable Energy, 2019)
The world has been experiencing significant development and as it develops, there are concerns as it relates to the impact on the environment. Research studies have shown major changes in climates around the world and they have major implications for vulnerable groups. One such vulnerable group is that of persons with disabilities (PWDs). Their vulnerability makes them susceptible to varied environmental hazards. However, these individuals are resilient by nature and are able to overcome challenges but non-disabled persons continue to place obstacles in their pathways, thus impacting on their resilience. It is within this context that a study on the situation in the Caribbean as it related to PWDs and climate change was conducted. Issues of legislation, education, access to information and information communication technologies for PWDs were examined to bolster their resilience to withstand the vagaries of climate change. Two Caribbean countries, Jamaica and Guyana were selected for this analysis. Even though some progress has been made to provide services for PWDs in the region, significant work needs to be done to bolster the resilience of these individuals and bring the Caribbean to adequate preparation for PWDs to withstand the challenges of climate change.
Keywords: Climate change; Guyana; Jamaica; _z:class:countries; development; openalex:import; openalex:yes; persons with disabilities; resilience

Pro-Environmental Behaviors and Ecological Responsibilities: An Evaluation of Pakistani University Students’ Behavioral Intentions Towards Climate Change - Butt, Abdul Rahman; Hussain, Mudassar; Butt, Hirra Pervez; Ahmed, Adeel; Yousaf, Balal; Azfar, Aqsa (International Journal of Sciences: Basic and Applied Research, 2019)
Rapid and devastating changes in climate and environment have affected individuals from all around the globe to indulge in climate change mitigation and adaptation. The aim of this research is to evaluate the role of students in climate change mitigation and adaptation by analyzing their behavioral intentions. We incorporated the theory of planned behavior in evaluating the environmental knowledge among university students in Pakistan. The results implicated that the attitudes, societal norms and perceived behavioral control contributes significantly in an individual’s pro-environmental behavioral intentions. Additionally, education was found to be contributing merely in building attitudes towards pro-environmental behaviors. However the societal norms and individual’s perceived behavioral control were found to be less influenced by the educational background of individuals. This research provides strategic policy suggestions in face of formulating encouraging engagement in deliberative discussions, interaction with scientists, and formulation of community projects to induce education, resources and opportunities which can be beneficial in changing behaviors of individuals on a larger scale in society.
Keywords: C:Pakistan; _z:class:countries; _z:class:themes; oa:keyword:ecological responsibilities; oa:sdg:13 Climate action; oa:topic:T10880 Drivers and Impacts of Green Consumer Behavior; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; oa:topic:T11488 Perceptions and Communication of Climate Change; openalex:import; openalex:yes; ⛔ No DOI found

Integrating Climate Change Issues in the Upper Basic Schools of the Gambia: A Test Case of the Upper Basic School Curriculum - Oluwatobi, O. O.; Adesina, Francis; Jammeh, B. L. J. (Journal of Environment and Earth Science, 2019)
The study reported here focuses on integrating climate change issues in School curriculum in The Gambia. The objectives are to determine the extent to which climate-related themes presently feature in the Upper Basic (lower secondary) schools of The Gambia; propose an integration plan for enhanced climate themes in the school curriculum; and identify suitable teaching methods for conveying climate change information to students. A curriculum audit of two subject areas in the Upper Basic School where Climate issues could be taught was done. Also, a determination of suitable teaching methods for climate change themes was done with a set of questionnaires administered to 104 teachers and educators. Literature review was used to determine suitable themes for integration in the school curriculum and to obtain appropriate teaching methods. The Likert scale was used to rate the suitability of the various methods. The findings revealed that there are gaps in the curriculum in relation to climate change. For example, they showed an insufficient explanation of the impacts of climate change on human health and an omission of climate change impacts on the ecosystem. Of the 14 teaching methods which constituted the items included in the questionnaire, 12 were considered appropriate for teaching climate change themes. There was no significant difference between the mean responses of educators and teachers on the appropriate methods for teaching climate change topics. The study recommends inclusion of themes such as renewable energy sources into the school curriculum. Keywords: Climate Change, Teaching Methods, Curriculum, Integration, Upper Basic School DOI : 10.7176/JEES/9-4-05 Publication date : April 30 th 2019
Keywords: C:Gambia; _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:climate change issues; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Integrating Climate Change Issues in the Upper Basic Schools of the Gambia: A Test Case of the Upper Basic School Curriculum - Oluwatobi, O. O.; Adesina, Francis; Jammeh, B. L. J. (Journal of Environment and Earth Science, 2019)
The study reported here focuses on integrating climate change issues in School curriculum in The Gambia. The objectives are to determine the extent to which climate-related themes presently feature in the Upper Basic (lower secondary) schools of The Gambia; propose an integration plan for enhanced climate themes in the school curriculum; and identify suitable teaching methods for conveying climate change information to students. A curriculum audit of two subject areas in the Upper Basic School where Climate issues could be taught was done. Also, a determination of suitable teaching methods for climate change themes was done with a set of questionnaires administered to 104 teachers and educators. Literature review was used to determine suitable themes for integration in the school curriculum and to obtain appropriate teaching methods. The Likert scale was used to rate the suitability of the various methods. The findings revealed that there are gaps in the curriculum in relation to climate change. For example, they showed an insufficient explanation of the impacts of climate change on human health and an omission of climate change impacts on the ecosystem. Of the 14 teaching methods which constituted the items included in the questionnaire, 12 were considered appropriate for teaching climate change themes. There was no significant difference between the mean responses of educators and teachers on the appropriate methods for teaching climate change topics. The study recommends inclusion of themes such as renewable energy sources into the school curriculum. Keywords: Climate Change, Teaching Methods, Curriculum, Integration, Upper Basic School DOI : 10.7176/JEES/9-4-05 Publication date : April 30 th 2019
Keywords: _z:class:countries; _z:class:themes; oa:keyword:climate change; oa:keyword:climate change issues; oa:sdg:13 Climate action; oa:topic:T10898 Factors Influencing Pro-environmental Behavior; openalex:import; openalex:n:1; openalex:yes; ⛔ No DOI found

Outreach in the International Research Training Group "ArcTrain - Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic" - Walter, Maren; Madaj, Lina; Kučera, Michal; Stein, Rüdiger; Vernal, Anne de (EGU General Assembly Conference Abstracts, 2019)
Keywords: _z:class:countries; _z:class:themes; oa:keyword:canadian arctic; oa:keyword:climate change; oa:keyword:international research training group; oa:sdg:13 Climate action; oa:topic:T11588 Global Methane Emissions and Impacts; oa:topic:T12432 Arctic Shipping and Governance; oa:topic:T13193 Geological Evolution of the Arctic Region; openalex:import; openalex:yes; ⛔ No DOI found

A manifesto for climate responsive design - Clegg, Peter; Sandeman, Isabel (Enabel, 2019)
Although countries in East-Africa seem to have a perfect climate, people are not fully benefiting or making efficient use of its potential. They suffer from insufficient daylight or overheating and live on sites that are not coherently organized nor efficiently utilised. Energy is wasted. Trees are considered an abundant energy provider, especially for cooking purposes or for burning bricks. The Forum on ‘Raising Awareness for Climate Responsive Design in East Africa’ took place in Kampala (Uganda) on 27th and 28th February 2019. It was organized by Enabel, the Belgian development agency, and the Construction Management Unit of the Ministry of Education and Sports. Enabel (until 2018 called ‘BTC’ or Belgian Technical Cooperation) has been active in Uganda since 2005 mainly in the Education and Healthcare sectors. The group of organizers and speakers at the Forum decided to sustain momentum and set up a platform that would bring together a community of professionals from private and public sectors, to work towards a higher positive impact on our environment and communities. This document is the first step in this process. The topics of the Forum cover both hard and soft issues that contribute to improving people’s living conditions and environment. They include participation, using local and durable materials, passive ventilation and natural daylighting, sustainable landscapes, and water and waste-management. Architects and engineers must learn to identify the constraints and opportunities of each project site and help local communities to develop their full potential. We hope this document will achieve the critical mass necessary to instigate lasting behavioural change in the way we are living in our environment.
Keywords: evidence_review

Climate Responsive Design - Clegg, Peter; Sandeman, Isabel (Enabel, 2019)
Although countries in East-Africa seem to have a perfect climate, people are not fully benefiting or making efficient use of its potential. They suffer from insufficient daylight or overheating and live on sites that are not coherently organized nor efficiently utilised. Energy is wasted. Trees are considered an abundant energy provider, especially for cooking purposes or for burning bricks. The Forum on ‘Raising Awareness for Climate Responsive Design in East Africa’ took place in Kampala (Uganda) on 27th and 28th February 2019. It was organized by Enabel, the Belgian development agency, and the Construction Management Unit of the Ministry of Education and Sports. Enabel (until 2018 called ‘BTC’ or Belgian Technical Cooperation) has been active in Uganda since 2005 mainly in the Education and Healthcare sectors. The group of organizers and speakers at the Forum decided to sustain momentum and set up a platform that would bring together a community of professionals from private and public sectors, to work towards a higher positive impact on our environment and communities. This document is the first step in this process. The topics of the Forum cover both hard and soft issues that contribute to improving people’s living conditions and environment. They include participation, using local and durable materials, passive ventilation and natural daylighting, sustainable landscapes, and water and waste-management. Architects and engineers must learn to identify the constraints and opportunities of each project site and help local communities to develop their full potential. We hope this document will achieve the critical mass necessary to instigate lasting behavioural change in the way we are living in our environment.

Frontiers in data analytics for adaptation research: Topic modeling - Lesnikowski, Alexandra; Belfer, Ella; Rodman, Emma; Smith, Julie; Biesbroek, Robbert; Wilkerson, John; Ford, James D.; Berrang‐Ford, Lea (WIREs Climate Change, 2019)
Rapid growth over the past two decades in digitized textual information represents untapped potential for methodological innovations in the adaptation governance literature that draw on machine learning approaches already being applied in other areas of computational social sciences. This Focus Article explores the potential for text mining techniques, specifically topic modeling, to leverage this data for large‐scale analysis of the content of adaptation policy documents. We provide an overview of the assumptions and procedures that underlie the use of topic modeling, and discuss key areas in the adaptation governance literature where topic modeling could provide valuable insights. We demonstrate the diversity of potential applications for topic modeling with two examples that examine: (a) how adaptation is being talked about by political leaders in United Nations Framework Convention on Climate Change; and (b) how adaptation is being discussed by decision‐makers and public administrators in Canadian municipalities using documents collected from 25 city council archives. This article is categorized under: Vulnerability and Adaptation to Climate Change > Institutions for Adaptation
Keywords: openalex:cites; openalex:import; selected_for:effects of climate ch...on learning...LMICs 2024; tagged

A hybrid building thermal modeling approach for predicting temperatures in typical, detached, two-story houses - Cui, Borui; Fan, Cheng; Munk, Jeffrey; Mao, Ning; Xiao, Fu; Dong, Jin; Kuruganti, Teja (Applied Energy, 2019)
Within the residential building sector, the air-conditioning (AC) load is the main target for peak load shifting and reduction since it is the largest contributor to peak demand. By leveraging its power flexibility, residential AC is a good candidate to provide building demand response and peak load shifting. For realization of accurate and reliable control of AC loads, a building thermal model, which characterizes the properties of a building’s envelope and its thermal mass, is an essential component for accurate indoor temperature or cooling/heating demand prediction. Building thermal models include two types: “Forward” and “Data-Driven”. Due to time-saving and cost-effective characteristics, different data-driven models have been developed in a number of research studies. However, few developed models can predict temperatures in respective zones of a multiple-zone building with an open air path between zones e.g., an open stairwell connecting two floors of a home. In this research, a novel hybrid modeling approach is proposed to predict the average indoor air temperatures of both the upstairs and downstairs. This “hybrid” solution integrates both gray-box, i.e. RC model and black-box models. A developed RC model is used to predict the building mean temperature, and black-box model, in which the supervised machine learning algorithms are leveraged, is used to predict the temperature difference between the downstairs and upstairs. Compared with the measured data from a real house, the results obtained have acceptable/satisfactory accuracy. The method proposed in this study integrates the advantages of black-box and gray-box modeling. It can be used as a reliable alternative to predict the average temperatures in respective floors of typical detached two-story houses.
Keywords: Building demand management; Data-driven model; Particle swarm optimization; Supervised machine learning; _z:class:countries; _z:class:themes; oa:keyword:thermal modeling approach; 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; ⛔ No DOI found

A hybrid building thermal modeling approach for predicting temperatures in typical, detached, two-story houses - Cui, Borui; Fan, Cheng; Munk, Jeffrey; Mao, Ning; Xiao, Fu; Dong, Jin; Kuruganti, Teja (Applied Energy, 2019)
Within the residential building sector, the air-conditioning (AC) load is the main target for peak load shifting and reduction since it is the largest contributor to peak demand. By leveraging its power flexibility, residential AC is a good candidate to provide building demand response and peak load shifting. For realization of accurate and reliable control of AC loads, a building thermal model, which characterizes the properties of a building’s envelope and its thermal mass, is an essential component for accurate indoor temperature or cooling/heating demand prediction. Building thermal models include two types: “Forward” and “Data-Driven”. Due to time-saving and cost-effective characteristics, different data-driven models have been developed in a number of research studies. However, few developed models can predict temperatures in respective zones of a multiple-zone building with an open air path between zones e.g., an open stairwell connecting two floors of a home. In this research, a novel hybrid modeling approach is proposed to predict the average indoor air temperatures of both the upstairs and downstairs. This “hybrid” solution integrates both gray-box, i.e. RC model and black-box models. A developed RC model is used to predict the building mean temperature, and black-box model, in which the supervised machine learning algorithms are leveraged, is used to predict the temperature difference between the downstairs and upstairs. Compared with the measured data from a real house, the results obtained have acceptable/satisfactory accuracy. The method proposed in this study integrates the advantages of black-box and gray-box modeling. It can be used as a reliable alternative to predict the average temperatures in respective floors of typical detached two-story houses.
Keywords: Building demand management; Data-driven model; Particle swarm optimization; Supervised machine learning; _z:class:countries; _z:class:themes; oa:keyword:thermal modeling approach; 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; ⛔ No DOI found