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.
Section I Drought concept
Background and drought indices
Bibliometry and Review
An overview of drought indices
Application of General Circulation Models outputs in the analysis of extreme
climatic events
Drought in arid and semiarid regions
Drought propagation from meteorological to agricultural to hydrological
Drought and architecture
The psychological toll of drought in a changing climate
Section II Drought management
Policy and governance in drought studies
Water demand management and behavior change in agriculture
The states efforts for effective water storage management: case studies from
Bursa District
Section III New trends in drought studies
Meteorological drought modeling using recurrent neural networks and LSTM
Data assimilation technologies
Section IV Case studies
Models (linear, nonlinear, machine learning)
Climate and drought (climate variability, climate changes, future droughts)
A regional case study of meteorological drought trend using SPI and
MannKendall test
Spatiotemporal analysis of temperature rise impact on snow drought in
Erzurum, Türkiye
CMIP6-based frequency analysis of extreme precipitation events in Virginia,
USA
Integrated modeling, prediction, and analysis of climate drought and
groundwater quality: Iran
Historical fluctuations of water storage in response to drought: Iran case
study
Index
Dr. Mir Jafar Sadegh Safari is a hydrologist and associate professor at Yaar University, and currently a research associate at Toronto Metropolitan University. His comprehensive research portfolio centers on water resources, hydrological modeling, environmental systems, and hydraulics. His interdisciplinary work integrates AI, GIS, and hydrological modeling for sustainable water management. His endeavors transcend conventional approaches by innovating adaptive and integrated techniques to address the challenges posed by climate change variability and uncertainties. Dr. Babak Vaheddoost serves as an associate professor at Bursa Technical University, Türkiye. His work reflects a sustained scholarly commitment to hydrological sciences, particularly through the application of sophisticated data analysis and mining approaches to both linear and nonlinear systems, examined across temporal and spectral domains. His research activities encompass a wide array of topics, including groundwatersurface water interactions, drought and flood characterization, water-energy budget, climate change implications, water quality assessment, and flow dynamics.
