Ansar Khan – författare

Urban Heat Island Modeling for Tropical Climates takes into account the different urban physics in tropical environments, presenting a way of UHI scaling for tropical cities. Topics include measuring, modeling and proper mitigation strategies, which account for the surface energy balance of tropics. Tropical cities are more susceptible to the effects of projected global warming because of conditions in tropical climates and the rapid growth of so many cities in this zone. The need for research on measuring, modeling and mitigation of UHI effects in tropical cities is of growing importance.

This book walks through the basics of Urban Heat Islands, including causes, measurement and analysis then expands upon issues as well as the novel techniques that can be used to address issues specific to the region.

Reviews topics related to understanding the fundamentals of modeling and impacts of urban heat islands Covers many techniques, from remote sensing, to numerical modeling and then applying them to urban climate studies in general, and in tropical cities Describes the scaling of urban heat islands based on long-term seasonal thermal parameters as feature-based classification systems using a probabilistic and fuzzy logic approach, unlike local climate zones (LCZs)

Global Urban Heat Island Mitigation provides a comprehensive picture of global UHI micro-thermal interaction in different built environments. The book explains physical principles and how to moderate undesirable consequences of swift and haphazard urban development to create more sustainable and resilient cities. Sections provide extensive discussion on numerous UHI mitigation technologies and their effectiveness in cities around the globe. In addition, the book proposes novel UHI mitigation technologies and strategies while also assessing the effectiveness and suitability of UHI mitigation interventions in various climates and urban forms. Adopts a multidisciplinary approach, bridging theoretical and applied urban climatology with urban heat mitigation Compiles disparate urban climate research concepts and technologies into a coherent framework Includes contributions from leaders in fields from around the globe

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.

As such, geoscientists are called upon to analyze the coastal hazards by anticipating the changes in and impacts of extreme weather hazards on the Bay of Bengal coasts as a result of global climate change and local sea-level change.