Drought Dynamics

Modeling and Assessment to Confront a Changing Climate
Erscheinungsjahr 2026
ISBN: 978-0-443-34205-9
Verlag: Elsevier Science

Buch, Englisch, 376 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 450 g

Drought Dynamics: Modeling and Assessment to Confront a Changing Climate is a comprehensive guide that brings together cutting-edge research and practical strategies from top experts to address the growing challenge of drought in a changing world. The book equips readers with the essential knowledge to analyze drought causes and impacts, forecast future occurrences, and design effective mitigation plans. Covering both foundational theory and hands-on approaches, it explores the interconnections between climate, society, and environment. Through detailed explanations and real-world applications, this work aims to empower individuals and communities to build resilience and adapt to evolving climate conditions.

In addition to its thorough exploration of drought theory, the book examines critical areas such as social behavior, food security, health impacts, climate influences, sediment processes, architectural responses, and educational initiatives. It delves into the use of geographic information systems for data analysis and visualization, and reviews advances in drought management, policy-making, community adaptation, and economic considerations. The editors highlight emerging trends, including artificial intelligence applications and new technologies. A collection of case studies further illustrates practical solutions for data assessment, modeling, experimentation, and climate change adaptation.

Autoren/Hrsg.

Safari, Mir Jafar Sadegh

Vaheddoost, Babak

Fachgebiete

• Geowissenschaften Geologie Meteorologie, Klimatologie

Inhaltsverzeichnis

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

Über Autor(innen)

Vaheddoost, Babak
Dr. Vaheddoost exemplifies commitment to the hydrology, specializing in advanced data analysis and mining techniques encompassing both linear and non-linear systems across time and frequency domains, alongside model development methodologies. His extensive research portfolio spans groundwater hydrology, drought analysis, water-energy budgeting, model refinement, climate change impact assessments, water quality evaluations, and open channel hydraulics. Moreover, his contributions to the field of water resources are evidenced by the dissemination of over 50 peer-reviewed publications, active involvement in numerous national and international research projects, contributions to authoritative book chapters, and presentations at esteemed conferences. Additionally, Dr. Vaheddoost has significantly enriched scholarly discourse by serving as a meticulous reviewer for more than 600 academic papers, adjudicating submissions for various conferences, and editorial roles in scientific journals.

Safari, Mir Jafar Sadegh
Dr. Safari's comprehensive research portfolio centers on water resources through development of climate change adaptation strategies and analysis. His endeavors transcend conventional approaches by not only pioneering novel methodologies for comprehending and modeling water resources problems but also by innovating adaptive and integrated techniques to address the challenges posed by climate change variability and uncertainties using advanced tools such as data science including machine learning and artificial intelligence, statistical and stochastic modeling, and data-driven methodologies. Dr. Safari's past and current researches have resulted in valuable contributions in water resources with over 100 refereed papers in prestigious journals. He is an active reviewer and editor in more than 70 SCI journals. He worked in several national and international research projects as researcher and coordinator. In 2022, Dr. Safari was recognized as a top 2% scientist globally by Elsevier.