Urban Morphology, Climate, and Computing - Adapting the Built Environment to Future Climate Scenarios

Urban Morphology, Climate, and Computing: Adapting the Built Environment to Future Climate Scenarios examines the relationship between climate science, environmental impact, and urban planning. Through detailed climate models and AI-driven parametric studies, it offers practical insights into how urban morphology interacts with climate factors, influences environmental conditions, and threatens environmental sustainability. This book addresses the risks posed by urbanization, such as the urban heat island effect, heat stress, and extreme weather events. It also provides strategies to mitigate these impacts by employing big data engineering, modelling techniques, and AI technologies.

List of contents

I. Introduction Topic
1. Urban Challenges Topic
2. Climate Challenges Topic
3. Impact Framework of Urban Climate

II. Climate Science Topic
4. Fundamental of Climate Study Topic
5. Climate Modelling: Methodology and validation Topic
6. Climate Conditions: global, regional and local scale

III. Urban Climate Topic
7. Urban Morphology and Climate Topic
8. Urban Physics Topic
9. Urban Climate Risks - UHI and climate hazards

IV. Modifications of Urban Climate
10. Parameters of Urban Design
11. AI Parametric Study
12. Ameliorating Urban Designs

V. Future climate
13. Climate Scenario of 2100
14. The Future of Urban Climate Study

About the author

Dr. Vincent Cheng has over 30 years of research and professional experience in built environment study and an industry known expert in sustainable master planning and building design, specialising in Computational Fluid Dynamic, Air Ventilation Assessment (AVA) and microclimate analysis of urban development. He has extensive experience on project management for sustainable master planning projects and government consultancy studies, including the formulation of building regulation on Lighting and Ventilation, life cycle assessment tools and AVA assessment methodology. He has also been involved in more than 100 green and sustainable projects in East Asia region. As a building sustainability specialist, has also been involved in the Zero Carbon/Energy Buildings in the region.

He is a Director of Hong Kong Green Building council to advice the government and the professionals on sustainable building issues and also the Chairman of the advisory committee of School of Energy and Environment, the City University of Hong Kong. He was appointed by the Environment and Ecology Bureau and Financial Secretory of the Hong Kong Government to advice on policy issues of climate and green technology development.

Internally, he represents the region for Arup’s Sustainable Development leader and has involved in Arup’s development on the strategy for sustainability tools.Pater Li is a proficient specialist in urban computing technologies, including artificial intelligence, machine learning, scientific modelling, and data engineering applied to urban studies. His expertise lies particularly in urban dataset development, temporal-spatial analysis, geographical modelling, and high-resolution urban-scale climate simulation. His research interests revolve around the application of artificial intelligence, scientific modelling, and machine learning techniques in sustainable development research.
Throughout his academic career in The Chinese University of Hong Kong and The University of Hong Kong, he delved into the repercussions of extensive urbanization on urban climate and employed Shenzhen as a case study to illustrate the complete process of applying scientific modelling to urban climate analysis. His project encompassed various components, including an impact model that assessed the influence of urbanization on the atmosphere, the utilization of atmospheric physical models, the creation of high-resolution land surface datasets, large-scale cluster computing, model evaluation methods, the exploration of regulating mechanisms, and the integration of machine learning techniques. Some of his notable contributions have been published in esteemed journals such as the Science of the Total Environment and the Geoscientific Model Development.
He has also served as a visiting scholar at the National Centre for Atmospheric Research (NCAR), where he focused on urban climate modelling using the WRF Model (Weather Research and Forecasting Model) in conjunction with GIS (Geographic Information System) technology. Prior to his academic pursuits, he amassed 20 years of experience as a computer expert in the hi-tech industry. His scientific and technological innovations were recognized and honoured with distinguished awards from the Shenzhen government.Kunhui is a Marie Curie Fellow at Department of Physics, The University of Oxford. His research focuses on extreme events, climate change and climate dynamics. He has extensive experience in climate dynamics and climate modeling including recently successfully coordinating and currently leading very large-ensemble model simulations using distributed computing. After graduating from The Chinese University of Hong Kong in 2016, kunhui worked as postdoctoral researcher at Oxford University, Alfred Wegener Institute and Uppsala University between 2017 and 2023. He has published 16 papers in leading international journals and is a reviewer for Science Advances, Nature Communications, npj Climate and Atmospheric Science and many others. He has won a prestigious Marie Curie fellowship and two small grants, and has participated in various large national/international grants. He co-supervised one summer student and one master’s student, and currently leads supervision of a master’s student. He also holds an Associate Fellowship awarded by Higher Education Academy (UK) for recognizing effectiveness of practice in teaching and/or support of learning.

Product details

• Authors: Cheng Vincent S., Pater Li, Ye Kunhui
• Publisher: Elsevier
• Languages: English
• Product format: Paperback / Softback
• Release: 01.03.2027
• EAN: 9780443416125
• ISBN: 978-0-443-41612-5
• Weight: 450 g
• Subjects: Natural sciences, medicine, IT, technology > Biology > Ecology; SCIENCE / Global Warming & Climate Change, Climate Change, The environment, Science / Environmental Science, Enterprise Software, Operational research, Environmental science, engineering and technology