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.
1. 3.1 Introduction - p. 41 2. 3.2 Characterization of drought - p. 42 3. 3.3 Drought indices - p. 45 4. 3.4 Conclusion - p. 103 5. Acknowledgment - p. 103 6. References - p. 103 7. Chapter four. Application of General Circulation Models’ outputs in the analysis of the extreme climatic events - p. 109 8. Chapter five. Drought in arid and semiarid regions - p. 133 9. Chapter six. Drought propagation from meteorological to agricultural to hydrological - p. 149 10. Chapter seven. Drought and architecture - p. 161 11. Chapter eight. The psychological toll of drought in a changing climate - p. 197 12. Section II: Drought management - p. S215 13. Chapter nine. Policy and governance in drought studies - p. 217 14. Chapter ten. Water demand management and behavior change in agriculture - p. 245 15. Chapter eleven. The state’s efforts for effective water storage management to enhance resilience against droughts: case studies from the Bursa District - p. 265 16. Section III: New trends in drought studies - p. S279 17. Chapter twelve. Meteorological drought modeling using recurrent neural network and long short-term memory - p. 281 18. Chapter Thirteen. Data assimilation technologies - p. 295 19. Section IV: Case studies - p. S333 20. Chapter fourteen. Models (linear, nonlinear, machine learning) - p. 335 21. Chapter fifteen. Climate and drought (climate variability, climate changes, future droughts) - p. 353 22. Chapter sixteen. A regional case study of investigation of the meteorological drought trend using the SPI index and the Mann–Kendall test - p. 375 23. Chapter seventeen. Spatiotemporal analysis of temperature rise impact on snow drought in Erzurum, Türkiye - p. 395 24. Chapter eighteen. A CMIP6-based frequency analysis of the extreme precipitation events in Virginia, USA - p. 417 25. Chapter nineteen. Integrated modeling, prediction, and analysis of climate drought and groundwater quality: a comprehensive study of 609 sites in Iran - p. 445 26. Chapter TWENTY. Historical fluctuations of water storage in response to drought: a study of Iran - p. 491 27. Index - p. 511
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.
1. 3.1 Introduction - p. 41 2. 3.2 Characterization of drought - p. 42 3. 3.3 Drought indices - p. 45 4. 3.4 Conclusion - p. 103 5. Acknowledgment - p. 103 6. References - p. 103 7. Chapter four. Application of General Circulation Models’ outputs in the analysis of the extreme climatic events - p. 109 8. Chapter five. Drought in arid and semiarid regions - p. 133 9. Chapter six. Drought propagation from meteorological to agricultural to hydrological - p. 149 10. Chapter seven. Drought and architecture - p. 161 11. Chapter eight. The psychological toll of drought in a changing climate - p. 197 12. Section II: Drought management - p. S215 13. Chapter nine. Policy and governance in drought studies - p. 217 14. Chapter ten. Water demand management and behavior change in agriculture - p. 245 15. Chapter eleven. The state’s efforts for effective water storage management to enhance resilience against droughts: case studies from the Bursa District - p. 265 16. Section III: New trends in drought studies - p. S279 17. Chapter twelve. Meteorological drought modeling using recurrent neural network and long short-term memory - p. 281 18. Chapter Thirteen. Data assimilation technologies - p. 295 19. Section IV: Case studies - p. S333 20. Chapter fourteen. Models (linear, nonlinear, machine learning) - p. 335 21. Chapter fifteen. Climate and drought (climate variability, climate changes, future droughts) - p. 353 22. Chapter sixteen. A regional case study of investigation of the meteorological drought trend using the SPI index and the Mann–Kendall test - p. 375 23. Chapter seventeen. Spatiotemporal analysis of temperature rise impact on snow drought in Erzurum, Türkiye - p. 395 24. Chapter eighteen. A CMIP6-based frequency analysis of the extreme precipitation events in Virginia, USA - p. 417 25. Chapter nineteen. Integrated modeling, prediction, and analysis of climate drought and groundwater quality: a comprehensive study of 609 sites in Iran - p. 445 26. Chapter TWENTY. Historical fluctuations of water storage in response to drought: a study of Iran - p. 491 27. Index - p. 511
