Urban Computing and Artificial Intelligence: A Data-Driven Tool for Urban Heat Mitigation - Softcover

Softcover

ISBN 10: 0443141681 ISBN 13: 9780443141683

Publisher: Elsevier, 2029

Synopsis

Urban Computing and Artificial Intelligence: A Data-Driven Tool for Urban Heat Mitigation is the first full synthesis of modern scientific and applied research on climate change, urban warming, and the future of resilient cities. The book helps city governments better understand how to plan for the effects of climate change and impending natural disasters. It compiles the concepts, strategies, and technologies associated with resilient cities, and provides an outline of what constitutes climate change and its behavior relating to urban systems. Finally, the book develops a comprehensive concept for the future resiliency of cities related to hydro-climatology and extreme events.

Next, it explains the physical principles governing the formation of distinct hydro-climatology and resilient cities, and then illustrates how this knowledge can be applied to moderate the undesirable consequences of swift and haphazard urban development (energy, peak electricity demand, health, comfort, economy, and environment) and help to create more sustainable and resilient cities for the future. With urban climate science now a fully-fledged growing field, this timely book fulfils the need to bring together the disparate parts of urban climate research in global cities into a coherent framework. It is an ideal resource for students, researchers, and policymakers in the fields of urban climate, urban architecture and planning, environmental engineering, urban design, and redevelopment.

• Instructs on the incorporation of urban data, urban climate, and meteorological data into the design, planning, and operation of urban areas in order to make them safer, healthier, and more sustainable cities
• Discusses solutions for a broad range of problems such as spatial and temporal variations in peak electricity demand, the impact of extreme urban heat on public health, the societal and economic costs of urban extreme urban heat, the impact of urbanization on diurnal rainfall and the environment, the impacts of adaptation measures on urban climate, and more
• Facilitates communications with policymakers and end-users of urban data and urban meteorological and climatological data

About this title

About the Authors

Dr. Khan is an Assistant Professor of Geography at Lalbaba College, Howrah, India. His research incorporates simulation and numerical modeling of global climatic events including urban climate and microclimatic variation using the state-of-the-art Weather Research and Forecasting (WRF) model and Regional Climate Model (RegCM). A key focus of his research is searching for appropriate mitigation strategies and technologies to decrease the overheating of tropical urban areas while also decreasing energy consumption and protecting health. He has commendable expertise in handling data and implementing models in many software platforms. His research contribution has been recognized by some leading researchers in the domain of urban climate research.

Mat Santamouris is the Anita Lawrence Professor of High Performance Architecture in the University of New South Wales in Australia. He is a past a professor at the University of Athens, Greece and visiting Professor at the Cyprus Institute, Metropolitan University of London, Tokyo Polytechnic University, Bolzano University, Brunnel University and National University of Singapore. Past President of the National Center of Renewable and Energy Savings of Greece. Editor and author of 15 international books on topics related to heat island, solar energy and energy conservation in buildings published by Earthscan, Springer, etc. Guest editor of twelve special issues of various scientific journals. Scientific coordinator of many international research programs and author of almost 290 scientific papers published in peer reviewed international scientific journals. Reviewer of research projects in 15 countries including USA, UK, France, Germany, Canada, Sweden, etc. Expert in various International Research Institutions. Highly Cited researcher according to Clarivate in 2017 and 2018.

Dev Niyogi is Dave P. Carelton Centennial Professor in the Department of Geological Sciences at Jackson School of Geosciences, and Department of Civil, Architectural, and Environmental Engineering in the University of Texas at Austin, USA. He was the most recent chair of the American Meteorological Society (AMS) Board of Urban Environment and elected advisory board member of the International Association of Urban Climate. He is currently serving on the AMS Committee on Applied Climatology, and has previously served on AMS Committee on Agriculture and Forest Meteorology, invited member FGDC Spatial Climate Working Group, Member of the Weather Research and Forecast (WRF) model WG-14 (land surface models), and Member of the AGU Biogeochemistry meetings group/spring meeting student awards chair. He has provided invited testimonies to the National Academy study group, planning summer meetings, and Senate Working groups.

From the Back Cover

Urban Computing and Artificial Intelligence: A Data-Driven Tool for Urban Heat Mitigation is the first full synthesis of modern scientific and applied research on climate change, urban warming, and the future of resilient cities in a single frame. It helps city governments better understand how to plan for the effects of climate change and impending natural disasters through rational urban planning. This book compiles the concepts, strategies, and technologies associated with resilient cities that are applicable in global cities.

The book begins with an outline of what constitutes climate change and its behaviour relating to urban systems. It develops a comprehensive concept for the future resiliency of cities related to hydro-climatology and extreme events. It explains the physical principles governing the formation of distinct hydro-climatology and resilient cities, and it then illustrates how this knowledge can be applied to moderate the undesirable consequences of swift and haphazard urban development (energy, peak electricity demand, health, comfort, economy, and environment) and help to create more sustainable and resilient cities for the future.

With urban climate science now a fully-fledged growing field, this timely book fulfils the need to bring together the disparate parts of urban climate research in global cities into a coherent framework. It is an ideal resource for students, researchers, and policymakers in the fields of urban climate, urban architecture and planning, environmental engineering, urban design, and redevelopment.

Edition details

• Publisher: Elsevier
• Publication date: 2029
• Language: English
• ISBN 10: 0443141681
• ISBN 13: 9780443141683
• Binding: Paperback
• Edition number: 1
• Number of pages: 225
• Editor: Khan Ansar, Santamouris Mattheos, Niyogi Dev