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Full Description
Drought Dynamics: Modeling and Assessment to Confront a Changing Climate synthesizes the latest research findings and practical insights from leading experts in the field. The book provides the knowledge and tools necessary to understand the causes and impacts of drought, predict its occurrence, and implement practical measures to mitigate its effects. It begins with an in-depth review of fundamental drought theory followed by a closer examination of related aspects like social behavior, food security, health, climate, sediment, architecture, and education. Next, a close look at geography information systems including data assessment, models, maps, and visualizations is explored.
Additional sections explore drought management, along with community resilience, adaptation, policy, and the economy. New trends in drought studies are presented, including the latest practical technologies and the use of artificial intelligence. Lastly, a series of detailed case studies offer practical insights on data assessment, modeling, experimental studies, and climate change. The editors and contributing authors offer this resource to help build resilience and sustainability in the face of one of the most pressing environmental challenges of our time.
Contents
Section 1: Drought Concept
1. Definition, Theory, and Background
2. Bibliometry and Review
3. Drought and Social Behavior
4. Drought, Food Security and Health
5. Drought and Climate
6. Drought and Sediment
7.. Drought and Architecture
8. Drought and Education
Section 2: Geography Information System
9. Data assessment (In situ data, Satellite data, Real time data, Radar, RS, etc.)
10. Models and Approaches
11. Maps and visualization
Section 3: Drought Management
12. Resilience and Adaptation,
13. Policy and Governance
14. Health
15. Economy
Section 4: New Trends in Drought Studies
16. Practice
17. Measurement and Instruments
18. New Indices
19. Cutting Edge Technologies
20. Artificial Intelligence
Section 5: Case Studies
21. Data assessment (analysis, fusion, mining, attractors, spatiotemporal distribution, frequency, magnitude, intensity, risks, hazard, probability, return period etc.)
22. Models (Linear, Nonlinear, Machine Learning)
23. Droughts and Floods
24.. Climate and drought (Climate variability, Climate Changes, Future Droughts)
25. Local, Regional, and global cases
26. Experimental studies



