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The Tamil Nadu government actively supports farmer development through frequent training programs. These programs, incorporating both classroom sessions and field visits, are targeted towards farmer members of Farmer Producer Organizations (FPOs) and conducted at regular intervals. Recognizing the importance of understanding farmers' motivations and preferences, the training centers conducted a study involving 80 FPO farmer respondents from Coimbatore and Nilgiris districts. Using rank-based...
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Abstract This paper explores teachers' conceptions of climate change knowledge, contributing to the growing body of work on the geographies of climate change. The paper focuses on the data generated through in‐depth semi‐structured interviews with a sample of 48 teachers in India to address the research question: What discourses about climate change knowledge are being constructed by teachers in India? We argue that teachers' lesson planning and searches for information are at the forefront...
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Climate change anxiety refers to negative cognitive, emotional, behavioural, and functional responses to experiences of climate change and has implications on mental health. The current study sought to determine how climate change anxiety relates to cognitive-emotional and functional impairments as well as with experience of climate change and behavioural engagement in youths. The study surveyed 388 youths (aged 13-24 years) in high schools in Kwale County, Kenya. Data were analysed in...
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This research explores climate change adaptation practices, strategies and policies implemented internationally that could be adopted to support the sustainable development of cities and towns across Australia. Adaptation strategies focus on reducing the impact of climate change effects while promoting sustainable development.Adaptation is framed as a shared responsibility between governments at all levels, businesses, communities and individuals. Within this overarching framework, each...
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This research explores climate change adaptation practices, strategies and policies implemented internationally that could be adopted to support the sustainable development of cities and towns across Australia. Adaptation strategies focus on reducing the impact of climate change effects while promoting sustainable development.Adaptation is framed as a shared responsibility between governments at all levels, businesses, communities and individuals. Within this overarching framework, each...
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Churches can serve as platforms for environmental education, fostering a sense of responsibility towards the environment among their congregations.This study examined the influence of religious affiliation and attendance on climate change awareness, perception, action and perceived role of the church through environmental education in Nigeria. Churchgoers from Catholic, Anglican, and Pentecostal churches from the six geopolitical zones of Nigeria completed the Climate Change Awareness...
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Thermal comfort prediction is vital in achieving a good indoor environment and efficient energy management. However, thermal comfort is strongly nonlinear and dynamically changing over time, making it difficult to predict thermal comfort accurately. Two real-time thermal comfort prediction models on multi-time scales are proposed based on deep learning algorithms. The indirect prediction model for thermal comfort integrates the bidirectional long and short-term memory network to predict...
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The aim of this study is to present a novel data-driven approach developed for space heating energy demand calculation of the whole EU building stock. To develop a computationally efficient bottom-up model that takes into account building physics parameters and details of the building stock make-up, an artificial neural network (ANN) is trained on a dataset of precise building-physics models. For this purpose, 2025 building energy simulations were performed in this study, ensuring...
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With increasing energy consumption, how to achieve the energy-saving operation of air-conditioning systems is crucial for improving the energy efficiency of buildings. The accurate and reliable energy consumption prediction of air-conditioning systems can be useful for optimizing the energy supply and equipment operation strategies. However, most existing studies focus on the prediction of the long-term energy consumption of air-conditioning systems, which usually exceeds the individual...
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Climate change is the greatest challenge of the 21st century. It is threatening all aspects of societal life. The right to education of children is negatively impacted by these climate-induced challenges. This chapter presents findings of a study on the effects of climate change on the education of the younger generation. The study used a mixed research design method and was done within Kisii Municipality, Kenya. The findings were that climate change and its effects have brought about...
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The effects of climate change are a major global concern. In Kenya, the impact of climate change has been felt in perennial droughts which sometimes result into conflict as communities fight for pasture and water. In a bid to address climate change issues, Kenya has developed policies that focus on mitigation and adaptation measures borrowed from ideas outlined in global climate change strategies. One such strategy is the employment of education as a tool to create awareness on climate...
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With the increasing incidence of power blackouts attributed to climate change, climate-resilient load forecasting is increasingly necessary to enable timely network reconfiguration during extreme weather events. This paper proposes a generalised multi-factor Deep Learning (DL) model to forecast electricity load in Distribution Networks (DNs) during extreme climate periods. We optimise factors that affect forecast accuracy, including input matrix structures, calendar effects, and...
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With the increasing incidence of power blackouts attributed to climate change, climate-resilient load forecasting is increasingly necessary to enable timely network reconfiguration during extreme weather events. This paper proposes a generalised multi-factor Deep Learning (DL) model to forecast electricity load in Distribution Networks (DNs) during extreme climate periods. We optimise factors that affect forecast accuracy, including input matrix structures, calendar effects, and...
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Deep learning models have been increasingly applied in the field of solar radiation prediction. However, the characteristics of a deep learning black box model restrict its application in practical scenarios such as model predictive control. Because energy system controllers may be unable to make final decisions based solely on the predictions of a black-box model. This study considers both the temporal and spatial dependencies of solar radiation predictions through unfolding sequences and...
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Individuals globally spend about 88–92% of their entire time in the indoor environment. The implementation of regularly scheduled systems operation is common in many commercial and residential building types. Occupant Behavior (OB) is highly stochastic, making it difficult to depict the human factor using simple schedules. In the present work, window-opening tendencies were found to be highest in summer and transition seasons and lowest during winter. The Air Changes per Hour (ACH) value...
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This qualitative study aims to investigate the outlook of geography educators in Pakistan. It involves a group of around twelve participants, primarily aiming to understand their viewpoints regarding the goals of climate change education; it also explores how these viewpoints influence their teaching approaches, especially when dealing with contentious topics in geography education. The research delves into the complex educational landscape related to climate change education in Pakistan....
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The farmer field school (FFS) has been promoted as an approach for educating farmers on making adaptive farming decisions. In Malawi, the FFS has been used to enhance food security within the context of adaptation to climate change. Monitoring, evaluation and learning (MEL) extends the learning cycle from the core of the FFS to the project level to facilitate learning and adaptation for improvement of interventions. This study’s objectives were to test the utility of a MEL framework for the...
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Artificial Intelligence
(17)
- ... in Sub-Saharan Africa (1)
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- Education and climate change (28)
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