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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 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 state's 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 Mann-Kendall 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
