New
Natural Disasters Under Changing Climate,
Edition 1 Modeling Strategies, Predictions, and ManagementEditors: Edited by Omid Rahmati, Zahra Kalantari, Carla Sofia Ferreira, Bahram Choubin and Rares Halbac-Cotoara-Zamfir
Publication Date:
01 Sep 2026
Conformance
-
PDF/UA-1
-
The publication contains a conformance statement that it meets the EPUB Accessibility 1.1, WCAG 2.1, Level AA standard. Please see https://bornaccessible.benetech.org/certified-publishers/ for further details of our compatibility testing.
-
The publication was certified on 20250625
-
Accessibility addendum
-
The certifier's credential is https://bornaccessible.benetech.org/certified-publishers/
-
For detailed accessibility information, see Elsevier’s website at https://www.elsevier.com/about/accessibility
-
Compatibility tested
-
For queries regarding accessibility information, contact [email protected]
Ways Of Reading
-
This e-publication is accessible to the full extent that the file format and types of content allow, on a specific reading device, by default, without necessarily including any additions such as textual descriptions of images or enhanced navigation.
-
All contents of the digital publication necessary to use and understanding, including any text, images (via alternative descriptions), video (via audio description) is fully accessible via suitable audio reproduction.
Navigation
-
The contents of the PDF have been tagged to permit access by assistive technologies as per PDF-UA-1 standard.
-
Page breaks included from the original print source
Additional Accessibility Information
-
All (or substantially all) textual matter is arranged in a single logical reading order (including text that is visually presented as separate from the main text flow, e.g., in boxouts, captions, tables, footnotes, endnotes, citations, etc.). Non-textual content is also linked from within this logical reading order. (Purely decorative non-text content can be ignored).
-
The language of the text has been specified (e.g., via the HTML or XML lang attribute) to optimise text-to-speech (and other alternative renderings), both at the whole document level and, where appropriate, for individual words, phrases or passages in a different language.
-
For readers with color vision deficiency, use of color (e.g., in diagrams, graphics and charts, in prompts, or on buttons inviting a response) is not the sole means of graphical distinction or of conveying information
-
Content is enhanced with ARIA roles to optimize organization and facilitate navigation
-
Where interactive content is included in the product, controls are provided (e.g., for speed, pause and resume, reset) and labelled to make their use clear.
Note
-
This product relies on 3rd party tooling which may impact the accessibility features visible in inspection copies. All accessibility features mentioned would be present in the purchased version of the title.
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
About the author
Edited by Omid Rahmati, Department of Watershed Management, Kurdistan Agricultural and Natural Resources Research and Education Center, Agricultural Research Education and Extension Organization, Iran; Zahra Kalantari, Professor, KTH Royal Institute of Technology, Sweden; Carla Sofia Ferreira, Polytechnic Institute of Coimbra, Portugal; Bahram Choubin, Assistant Professor, West Azarbaijan Agricultural and Natural Resources Research and Education Center, Urmia, Iran and Rares Halbac-Cotoara-Zamfir, Lecturer Prof. Dr. Eng. Rares Halbac-Cotoara-Zamfir Department of Overland Communication Ways, Foundations and Cadastral Survey Politehnica University Timisoara, Romania
- Natural Disasters Under Climate Change: Challenges and Issues of Modeling, Prediction and Management
- Climate Change and Agricultural Droughts: Understanding the Growing Challenge
- Dust Storms as a Climate-Driven Natural Disaster: Policy and Challenges in the Middle East
- Modeling Landslide Susceptibility Under Climate Change: Using Machine Learning in Prioritizing Landslide-Influencing Factors
- Deep Learning-Based Modeling of Land Subsidence Derived from PSInSAR Analysis of Radar Imagery
- Evaluation of Climate Change Impacts on Gully Erosion
- A Web-based Deep Learning Flood Monitoring and Forecasting Decision Support System with Streamlit Online Platform
- Vegetation drought in natural resources monitoring
- Deep Learning-Based Flood Hazard Assessment
- Vulnerability to Sea Level Rise in Coastal Coupled Social-Ecological Systems
- Investigation of climate change impacts on floods: an overview
- From Adaptation to Maladaptation: A Cognitive-Conceptual-Assessment Model for Climate Decision-Making
- Smart Reforestation for Climate-Resilient Recovery After Wildfire: A Geospatial Approach in the Osoyoos Lake Region, Canada
- Dust events and analysis of farmers' resilience measures
- Analyzing Urban Heat Island Dynamics: Insights from Machine Learning
- Towards the application of machine learning techniques for earthquake hazard prediction
- Desertification and climate change
- Land degradation due to climate change
- Impacts of climate change on groundwater level decline and land subsidence
- Supporting plants in drought conditions using superabsorbent polymers and mycorrhiza fungi
- Soil Erosion Responses to Diverse Rainfall Events Under Climate Change
- The effect of drought on the development of gully erosion
- Water Resources Crisis Management in the Agricultural Sector under Climate Change
- Monitoring Meteorological Drought Using Remote Sensing Data
- Analyzing the impact of climate change (drought) on food security
- Snow avalanche modeling using SOM and DQL models
ISBN:
9780443338793
Page Count:
752
Retail Price
:
Students in undergraduate courses on Natural Disasters