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Natural Disasters Under Changing Climate

Modeling Strategies, Predictions, and Management

Paperback Engels 2026 9780443338793
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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.

Specificaties

ISBN13:9780443338793
Taal:Engels
Bindwijze:Paperback
Herdrukdatum:1-9-2026

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Inhoudsopgave

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

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        Natural Disasters Under Changing Climate