Natural Disasters Under Changing Climate : Modeling Strategies, Predictions, and Management
Language: English
Published by Elsevier LTD Sep 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 149.54
Quantity: 2 available
Add to basketItem description from seller
Neuware - Natural Disasters Under Changing Climate: Modeling Strategies, Predictions, and Management is an essential textbook within the natural disaster prediction domain, functioning as a comprehensive book on natural disasters, and focusing on floods, landslides, earthquakes, dust storms, land subsidence, wildfire, sea level rise, drought, snow avalanches, debris flow, desertification, sand dune migration, and heatwaves. In addition to taking a range of natural disasters into account, it covers novel approaches in artificial intelligence and remote sensing and provides an overview of the different concepts of natural disasters perception and how geo-environmental, topo-hydrological, and edaphic variables are connected with their occurrences.The initial chapters of the book shed light on the main principles and mechanisms of disasters prediction and the application of artificial intelligence algorithms in natural disasters domain. They discuss the applicability of the predictive models in the natural hazards domain and how the understanding of disaster management can happen with the help of disaster susceptibility maps. The book then pivots into landslide susceptibility modeling under climate change and details the use of DInSAR as a powerful tool for studying the effects of earthquakes in various regions. Following that, dust storm frequency and intensity, and how these are impacted by climatic factors, as well as water and land use management, is discussed at length.…
Seller Inventory # 9780443338793
- Title
- Natural Disasters Under Changing Climate : Modeling Strategies, Predictions, and Management
- Author
- Carla Sofia Ferreira
- Publisher
- Elsevier LTD Sep 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0443338795
- ISBN 13
- 9780443338793
- Item weight
- 1,540 grams
- Dimensions
- 233x190x36 mm
The initial chapters of the book shed light on the main principles and mechanisms of disasters prediction and the application of artificial intelligence algorithms in natural disasters domain. They discuss the applicability of the predictive models in the natural hazards domain and how the understanding of disaster management can happen with the help of disaster susceptibility maps. The book then pivots into landslide susceptibility modeling under climate change and details the use of DInSAR as a powerful tool for studying the effects of earthquakes in various regions. Following that, dust storm frequency and intensity, and how these are impacted by climatic factors, as well as water and land use management, is discussed at length.
- Functions as a comprehensive textbook on natural disasters, focusing on floods, landslides, earthquakes, dust storms, land subsidence, wildfire, sea level rise, drought, snow avalanches, debris flow, and desertification
- Provides unique and cutting-edge research on natural disaster prediction
- Explores novel approaches in the field of artificial intelligence and remote sensing
- Presents scientific frameworks for the spatial prediction of a wide suite of natural disaster types, with a focus on their specific triggers and processes
- Offers study questions and case studies for students and instructors
"Synopsis" may belong to another edition of this title.
About the Author
Zahra Kalantari has successfully led and carried out interdisciplinary research with focus on understanding of earth and human systems to develop science, technology and innovation solutions to planet’s most pressing environmental challenges associated with the combined effects of changes in climate, land-use and water-use in terrestrial environments.
Carla Sofia Ferreira is at Polytechnic Institute of Coimbra, Portugal
Bahram Choubin is an Assistant Professor at the West Azarbaijan Agricultural and Natural Resources Research and Education Center in Urmia, Iran. He has been working at this center since 2019. Before that, he was a Postdoctoral Researcher at the University of Tehran from 2018 to 2019. He has published more than 50 articles in JCR-indexed journals and is a scientific reviewer for more than 80 ISI journals. According to Elsevier's World Scientists Rankings, he is among the top 2% of scientists in the world. Choubin's primary research interests encompass hydrometeorology, natural hazard prediction, forecasting in ungauged basins (PUB), advanced machine learning techniques, and cutting-edge radar/remodeling applications in hazard assessment. As a prolific co-author of numerous peer-reviewed research articles and book chapters within these fields, Choubin has been recognized with several prestigious awards for his scientific contributions (e.g., from Iran's National Elites Foundation).
Dr. Eng. Rares Halbac-Cotoara-Zamfir is Lecturer and PhD supervisor at Politehnica University of Timisoara, Faculty of Civil Engineering. He has a MSc in Environment Protection and a PhD in Civil Engineering (integrating also elements of environment and sustainable development). In 2016, Dr. Eng. Halbac-Cotoara-Zamfir Rares successfully defended his habilitation thesis “land reclamation and improvement works and sustainable land management in the context of climatic changes. He spent fifteen years in academia as PhD candidate, Assistant Professor and Lecturer with teaching and transnational project research responsibilities in civil engineering (land reclamation and improvement, sustainable land management, water resources management), sustainable development, environment protection natural hazards, climate change adaptation. Dr. Eng. Rares Halbac-Cotoara-Zamfir was and is currently involved in EEA, Horizon, COST and EUKI projects.
"About the title" may belong to another edition of this title.
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