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Elsevier

Natural Disasters Under Changing Climate

Modeling Strategies, Predictions, and Management

  • 1st Edition - September 1, 2026
  • Latest edition
  • Editors: Omid Rahmati, Zahra Kalantari, Carla Sofia Ferreira, Bahram Choubin, Rares Halbac-Cotoara-Zamfir
  • Language: English

Natural Disasters Under Changing Climate: Modeling Strategies, Predictions, and Management is an essential textbook within the natural disaster prediction domain, functi… Read more

Description

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.

Key features

  • 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

Readership

Students in undergraduate courses on Natural Disasters

Table of contents

  1. Natural Disasters Under Climate Change: Challenges and Issues of Modeling, Prediction and Management
  2. Climate Change and Agricultural Droughts: Understanding the Growing Challenge
  3. Dust Storms as a Climate-Driven Natural Disaster: Policy and Challenges in the Middle East
  4. Modeling Landslide Susceptibility Under Climate Change: Using Machine Learning in Prioritizing Landslide-Influencing Factors
  5. Deep Learning-Based Modeling of Land Subsidence Derived from PSInSAR Analysis of Radar Imagery
  6. Evaluation of Climate Change Impacts on Gully Erosion
  7. A Web-based Deep Learning Flood Monitoring and Forecasting Decision Support System with Streamlit Online Platform
  8. Vegetation drought in natural resources monitoring
  9. Deep Learning-Based Flood Hazard Assessment
  10. Vulnerability to Sea Level Rise in Coastal Coupled Social-Ecological Systems
  11. Investigation of climate change impacts on floods: an overview
  12. From Adaptation to Maladaptation: A Cognitive-Conceptual-Assessment Model for Climate Decision-Making
  13. Smart Reforestation for Climate-Resilient Recovery After Wildfire: A Geospatial Approach in the Osoyoos Lake Region, Canada
  14. Dust events and analysis of farmers' resilience measures
  15. Analyzing Urban Heat Island Dynamics: Insights from Machine Learning
  16. Towards the application of machine learning techniques for earthquake hazard prediction
  17. Desertification and climate change
  18. Land degradation due to climate change
  19. Impacts of climate change on groundwater level decline and land subsidence
  20. Supporting plants in drought conditions using superabsorbent polymers and mycorrhiza fungi
  21. Soil Erosion Responses to Diverse Rainfall Events Under Climate Change
  22. The effect of drought on the development of gully erosion
  23. Water Resources Crisis Management in the Agricultural Sector under Climate Change
  24. Monitoring Meteorological Drought Using Remote Sensing Data
  25. Analyzing the impact of climate change (drought) on food security
  26. Snow avalanche modeling using SOM and DQL models

Product details

  • Edition: 1
  • Latest edition
  • Published: September 1, 2026
  • Language: English

About the editors

OR

Omid Rahmati

Dr. Omid Rahmati is a geo-environmental researcher and Assistant Professor at the Agricultural Research, Education, and Extension Organization (AREEO) in Iran. His research focuses on applying machine learning models to natural hazard mitigation and watershed management. He has authored and co-authored over 70 articles in international peer-reviewed journals, as well as several books and book chapters. Dr. Rahmati’s publications have been cited more than 12,500 times (H-index: 56), and he has been recognized as a Highly Cited Researcher. He is ranked among the World’s Top 1% of Scientists by Web of Science (Clarivate, 2021–2022) and listed in Stanford University’s “World’s Top 2% Scientists” from 2021 to 2025. His publications over the past decade reflect a broad and significant influence in his field.
Affiliations and expertise
Department of Watershed Management, Kurdistan Agricultural and Natural Resources Research and Education Center, Agricultural Research Education and Extension Organization, Iran

ZK

Zahra Kalantari

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.

Affiliations and expertise
Professor, KTH Royal Institute of Technology, Sweden

CF

Carla Sofia Ferreira

Carla Sofia Ferreira is at Polytechnic Institute of Coimbra, Portugal
Affiliations and expertise
Polytechnic Institute of Coimbra, Portugal

BC

Bahram Choubin

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).

Affiliations and expertise
Assistant Professor, West Azarbaijan Agricultural and Natural Resources Research and Education Center, Urmia, Iran

RH

Rares Halbac-Cotoara-Zamfir

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.
Affiliations and expertise
Lecturer Prof. Dr. Eng. Rares Halbac-Cotoara-Zamfir Department of Overland Communication Ways, Foundations and Cadastral Survey Politehnica University Timisoara, Romania