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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...
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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...
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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...
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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...
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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...
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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...
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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....
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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...
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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...
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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...
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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...
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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...
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