Climate Resilience and Data Forecasting - Selected papers of 2025 International Conference on Climate-resilient and Low-carbon Cities

At present, phenomena such as global warming, glacier melting, sea - level rise, changes in precipitation patterns, and extreme weather events are becoming increasingly severe. Climate risks are particularly prominent in eight aspects: low - lying coastal areas, terrestrial and marine ecosystems, critical infrastructure and networks, living standards, human health, food security, water security, and safety and population movement. The Intergovernmental Panel on Climate Change (IPCC) defines resilience as the ability of a social, economic, and environmental system to deal with catastrophic events, trends, or disturbances, and to maintain its essential functions, positioning, and structure while responding or reorganizing, and to maintain its ability to adapt, learn, and transform.The Center for Climate and Energy Solutions (C2ES) refers to the ability to prepare for, recover from, and adapt to the adverse effects of climate change as "climate resilience." Climate, ecosystems and biodiversity, and human society are interdependent. The current unsustainable development model of human society will exacerbate climate change and destroy ecosystems, and the impacts and risks caused by climate change will further threaten the already stressed human economic and natural ecosystems. These risks and impacts are becoming increasingly complex, compound, and consequential, and may interact with each other, further amplifying the resulting losses and damages. For example, the melting of the Greenland ice sheet may trigger a critical shift in the Atlantic Meridional Overturning Circulation (AMOC), leading to a reduction in the heat transport from low to high latitudes in the ocean, causing sea - level rise and heat accumulation in the South Ocean, and accelerating the ice loss of the Southeast Antarctic ice sheet. Therefore, the world urgently needs to take timely and strong actions to promote comprehensive and systematic transformation and adaptation, and to seek a path of climate - resilient development.This book primarily focuses on climate resilience. The academic achievements and engineering cases presented in it are centered around climate resilience and data prediction. It mainly pays attention to two major research directions. One is the strategy of enhancing the climate resilience of urban ecosystems. The other is the application of artificial intelligence and big data in climate resilience. For the first part, we will start with urban ecosystems. We will analyze the performance and capacity of urban ecosystems under extreme weather and the increasingly severe climate change. And we will provide measures and technical solutions related to urban climate resilience. Owing to the rapid rise of artificial intelligence at present, the development of artificial intelligence has also entered the stage of scene adaptation. In terms of climate resilience and climate change prediction, artificial intelligence can provide us with more imagination and possibilities. It enables us to better predict the changes in climate, so as to choose better solutions to deal with and solve the problems. At the same time, in the relevant intelligent systems, it can achieve better early warning and reminder functions.The potential readers of this book are engineers, scholars, and Ph.D in the field of environmental engineering.

Inhaltsverzeichnis

Chapter 1. Research on Sponge City Construction in Lin an District during the 14th Five-Year Plan Period.- Chapter 2. Impact of Photovoltaic System Construction on Ecological Environment.- Chapter 3. Remote Sensing Monitoring for Carbon Neutrality: High-Precision Tracking of Greenhouse Gas Emissions and Carbon Sink Dynamics.- Chapter 4. Spatial Distribution Patterns and Interrelationships of Soil Organic Matter and pH in Cultivated Lands of Nenjiang City, Heilongjiang Province,- Chapter 5. Current Status and Ecological Characteristics of Grassland Resources in Heilongjiang Province: A Comprehensive Analysis Based on the 2021 Grassland Resource Survey and Monitoring.- Chapter 6. The Causes and Risk Management of Abnormal Temperature Phenomena in China in Early 2025 under the Background of Global Warming: A Comparative Analysis with the Snow Disaster in Southern China in Early 2008.- Chapter 7. Characteristics and Change Trend of Atmospheric Compound Pollution in Hebei Province.- Chapter 8. Analysis of PMV-PPD Indicators for Indoor Public Activity Spaces in Kindergartens Under Sunny, Cloudy and Dusty Weather Conditions.- Chapter 9. Spatiotemporal Dynamics of Vegetation Transpiration and Its Response to Greenhouse Gas Emissions in China.- Chapter 10. The Multi-Scale Driving Mechanism of Spatio-Temporal Evolution of urban Greenland on Carbon Storage: A Case Study of Nanjing.- Chapter 11. Quantifying Non-Carbon Benefits and Designing Tiered Ecological Compensation: Evidence from Forest Carbon Sink Projects in Qingyuan, China.- chapter 12. Comparative Study on the Freeze - Thaw Characteristics of Meteorological and Seasonal Frozen Soils around Lakes A Case Study of the Area around Xingkai Lake.- Chapter 13. Monitoring and Evaluation of the Natural Forest Protection Project in the Upper Reaches of the Yangtze River.- Chapter 14. Ecological Compensation Accounting for the Hanjiang River water source area of South-to-North Water Diversion Central Route Based on Ecosystem Service Value.- Chapter 15. Progress of Carbon Sinks Assessment and Carbon Sequestration Technology of Urban Green Space Networks (UGSNs) Based on Bibliometric Analysis.- Chapter 16. Revealing Hidden Ecological Surplus: A Novel UECC-UEPI Framework for Semi-Arid Urban Sustainability.- Chapter 17. Coupling Coordination Dynamic of Tourism-Driven Urbanization and Ecosystem Health in Karst Regions: Evidence from Sustainable Development Innovation Demonstration Zone Guilin, China.- Chapter 18. Spatio-Temporal Optimization of Seismic Resilience: Quantifying Vulnerability Hotspots in BRI Urban Frontiers.- Chapter 19. Study on the Characteristics and Prediction Technology of Maximum Snow Depth in Shihezi Area from 1960 to 2024.- Chapter 20. Evaluation and Optimization Strategies of Lake Urban Breezes Circulations under Planning Scenarios: A Case Study of Xiong an New Area.- chapter 21. Morphological Resilience Assessment in Historic Districts: A Framework Integrating Urban Form and Case Application in Jinan Historic Commercial District.- chapter 22. Dynamic Air Quality Benefits of Green Roofs: Enhanced Particulate Removal during Calm Nights Revealed by Paired Monitoring.- chapter 23. Integrating Allometric Equations and Three-Dimensional Structural Data for Accurate Estimation of Mangrove Community Carbon Storage.- Chapter 24. Simulation Analysis of Carbon Tax Policy on CO2 and Air Pollutants Reduction Effects in China's Freight Transportation Sector.- Chapter 25. Under the Dual Carbon Background, a Systematic Solution for Zero Carbon Parks - Taking the Foshan Maintenance Center of Southern Power Grid as an Example.- Chapter 26. Quantifying and Improving Building Energy Flexibility with Coordinated PV-Battery Systems: A Data-Driven Model-Based Approach.- chapter 27. The Impact of the Pilot Policies for Low-Carbon Cities on Environmental Pollution Control: Taking the Second-Batch Pilot Cities as an Example.- Chapter 28. Joint Deca

Über den Autor / die Autorin

Bao-Jie HE is a Professor of Urban Climate and Sustainable Built Environment and the leader of the Centre for Climate-Resilient and Low-Carbon Cities at Chongqing University, China. Baojie is also the Adjunct Associate Professor at University of Queensland (Australia) and the Research Fellow at NERPS, Hiroshima University (Japan). Baojie He was a Postdoc Research Fellow, Research Associate, PhD researcher, at UNSW Sydney, Australia. Baojie is working on the technologies of Cool Cities and Communities and Net Zero Carbon Built Environment. Baojie has published more than 200 peer-reviewed papers in high-ranking journals. Baojie has been invited to act Editor-in-Chief, Associate Editors, and Conference Chair of several reputable international journals and conferences. Baojie received the Highly Cited Researcher Title (Clarivate) in 2022, 2023, and 2024, the Green Talents Award (Germany) in 2021, and the Top 2% Scientists by the Stanford University from 2020 onwards.
Ming MA is a senior researcher in Smart City Research Institute of Chongqing University (SCRIC), National Registered Architect and urban Planner. Prof. Ma has been dedicated to the practice and theoretical study in sustainable urban design and architecture. His interest is mainly on the built environment and public health, urban resilience and healthcare infrastructure. He has published more than fifteen journal papers and a book. He is also in charge of two national research projects.
 
Scientia Professor Deo PRASAD AO FTSE is an international authority and recognised as a national leader in the field of sustainable buildings and cities and among the leading advocates for sustainability in Australia. Elected as a Fellow of the Royal Australian Institute of Architects in 1991, he has been a highly influential, driving force for sustainable design in both academia and professional practise and in 2006 he received the Royal Australian Institute of Architect's National Education Award for contribution to `sustainability education, research and design'. In 2004, he received the NSW State Government's individual GreenGlobe Award for `leadership and commitment to the supply of renewable energy'. He also won the Federal Government's national award for `outstanding contribution to energy related research'. Deo has published in excess of 400 key publications on the sustainable built environment and is a regular keynote invited speaker at conferences globally.
 
Ali CHESHMEHZANGI is the World’s top 2% field leader, recognised by Stanford University. He is a Professor and Head of the School of Architecture, Design and Planning (ADP) at the University of Queensland, Australia. He is among the top 30 global scholars in urban sustainability. Prior to joining UQ, Ali held several strategic leadership and senior managerial roles, such as Vice-President for International Engagement and Global Partnership, Founding Director/Head of the Center for Innovation in Education and Research, Head of the Department of Architecture and Built Environment, and Founding Director of the Urban Innovation Lab. So far, Ali has published over 500 journal papers, articles, conference papers, book chapters, and reports. He also has 33 other academic books, three of which have received awards at the national, provincial, and municipal levels. Ali is also globally known for his extended work on urban sustainability research, and particular as the Editor-in-Chief of Springer’s Urban Sustainability (US) book series.

Zusammenfassung

Global warming and extreme weather events are becoming increasingly severe, and climate risks are particularly prominent. The current unsustainable development model of human society will exacerbate climate change and destroy ecosystems, and the impacts and risks caused by climate change will further threaten the already stressed human economic and natural ecosystems. These risks and impacts are becoming increasingly complex, compound, and consequential, and may interact with each other, further amplifying the resulting losses and damages.
Resilience is the ability of a social, economic, and environmental system to deal with catastrophic events, trends, or disturbances, and to maintain its essential functions, positioning, and structure while responding or reorganizing, and to maintain its ability to adapt, learn, and transform. The world urgently needs to take timely and strong actions to promote comprehensive and systematic transformation and adaptation, and to seek a path of climate - resilient development.
This book focuses on two major research directions on climate resilience. One is the enhancement of the climate resilience of urban ecosystems. The other is the application of artificial intelligence and big data. The first part starts with urban ecosystems by analyzing the performance and capacity of urban ecosystems under extreme weather and the increasingly severe climate change and providing measures and technical solutions related to urban climate resilience. The second part presents the integration of artificial intelligence into climate resilience and climate change prediction which enables people to better predict the changes in climate and choose better solutions to deal with and solve the problems. The intelligent systems also enable decision makers to better deliver early warning and adaptation functions. The potential readers of this book are engineers, scholars, and Ph.D in the field of environmental engineering and urban planning.

Produktdetails

• Mitarbeit: Ali Cheshmehzangi (Herausgeber), Ali Cheshmehzangi et al (Herausgeber), Bao-Jie He (Herausgeber), Ming Ma (Herausgeber), Deo Prasad (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Fester Einband
• Erscheint: 14.03.2026
• EAN: 9783032119094
• ISBN: 978-3-0-3211909-4
• Seiten: 490
• Illustration: X, 490 p. 129 illus., 99 illus. in color.
• Serie: Environmental Science and Engineering
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Geowissenschaften > Sonstiges; Klimawandel, Ökologie, Biosphäre, Künstliche Intelligenz, Artificial Intelligence, Stadt- und Gemeindeplanung und -politik, Extreme Weather, Urban Ecology, Climate Sciences, Climate Change Ecology, Prediction, Intelligent System, Climate Resilience, Urban ecosystem