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Drought Dynamics

Modeling and Assessment to Confront a Changing Climate

  • 1st Edition - February 27, 2026
  • Latest edition
  • Editors: Mir Jafar Sadegh Safari, Babak Vaheddoost
  • Language: English

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 bo… Read more

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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.

Key features

  • Advances drought dynamic understanding as well as climate change adaptation strategies via interdisciplinary perspectives
  • Examines recent revolutionary approaches for drought modeling to give readers insights on progress in the field
  • Illustrates the implementation of different approaches for drought analysis through a variety of case studies
  • Recommends practical and actionable adaptation strategies to enhance resilience in dealing with climate change-induced droughts

Readership

Graduate students, faculty, researchers, and professionals in Atmospheric Science, Climatology, Environmental Science, Geography, Hydrology, Agricultural Science, Water Resources Engineering

Table of contents

  • List of contributors

  • Section I Drought concept

    1. Background and drought indices

      • Gokmen Tayfur

      • 1.1 Background

      • 1.2 Drought assessment methods

      • 1.3 Discussion and conclusions

      • References

    2. Bibliometry and Review

      • Mustafa Utku Yilmaz and Hulya Yilmaz

      • 2.1 Introduction

      • 2.2 Results of bibliometric analysis

      • 2.3 Trending topics and emerging themes in drought-related research

      • 2.4 The most commonly used datasets in drought-related research

      • 2.5 The most commonly used methods and indices for drought prediction

      • 2.6 Conclusion

      • AI disclosure

      • References

    3. An overview of drought indices

      • Ismail Dabanli, Furkan Sencer Kaçar, Abdullah Emin Demircioğlu, Cemre Erbil and Mehmet Şerif Kayaalp

      • 3.1 Introduction

      • 3.2 Characterization of drought

      • 3.3 Drought indices

      • 3.4 Conclusion

      • Acknowledgment

      • References

    4. Application of General Circulation Models’ outputs in the analysis of extreme climatic events

      • Mustafa Nuri Balov, Farzad Rotbee and Maryam Khalilzadeh Poshtegal

      • 4.1 Introduction

      • 4.2 General Circulation Models—an overview

      • 4.3 Emission scenarios

      • 4.4 Downscaling

      • 4.5 Uncertainty issue

      • 4.6 Extreme climatic events

      • 4.7 Case study: Drought Assessment

      • 4.8 Conclusion

      • References

    5. Drought in arid and semiarid regions

      • Gokmen Tayfur

      • 5.1 Learning and knowledge outcomes

      • 5.2 Introduction

      • 5.3 Methods

      • 5.4 Application

      • 5.5 Discussion

      • 5.6 Conclusions

      • References

    6. Drought propagation from meteorological to agricultural to hydrological

      • Gokmen Tayfur

      • 6.1 Introduction

      • 6.2 Drought types

      • 6.3 Widely employed index for each drought

      • 6.4 Drought propagation

      • 6.5 Discussion and conclusions

      • References

    7. Drought and architecture

      • Meysam Soleimani and Furkan Kavak

      • 7.1 Introduction

      • 7.2 The concept of climatic architecture

      • 7.3 Traditional architecture in the hot and arid climate

      • 7.4 Contemporary design inspired by traditional architecture

      • 7.5 Conclusion

      • References

    8. The psychological toll of drought in a changing climate

      • Mahsa Vaheddoost

      • 8.1 Introduction

      • 8.2 Methodology

      • 8.3 Psychological effects of drought

      • 8.4 Drought and eco-anxiety

      • 8.5 The link between drought and eco-anxiety

      • 8.6 Drought coping mechanisms

      • 8.7 Conclusion

      • AI disclosure

      • References

  • Section II Drought management

    1. Policy and governance in drought studies

      • Mustafa Utku Yilmaz and Hulya Yilmaz

      • 9.1 Introduction

      • 9.2 Developing a framework for effective drought governance

      • 9.3 The MICMAC method

      • 9.4 Identifying factors influencing drought governance

      • 9.5 Classification of factors using MICMAC

      • 9.6 Challenges and barriers to effective drought governance

      • 9.7 Conclusion and policy recommendations

      • AI disclosure

      • References

    2. Water demand management and behavior change in agriculture

      • Pelin Atakan and Cihat Günden

      • 10.1 Introduction

      • 10.2 What farmers are expected to do

      • 10.3 How farmers are encouraged to do what they are expected to do

      • 10.4 Understanding why farmers do what they do

      • 10.5 Designing policies to promote behavior change in irrigation under water scarcity

      • 10.6 Conclusion

      • References

    3. The state’s efforts for effective water storage management: case studies from Bursa District

      • Murat Can

      • 11.1 Introduction

      • 11.2 Applications and Practices

      • 11.3 Further Applications and Investments

      • 11.4 Sum Up

      • 11.5 Future Projections

      • References

  • Section III New trends in drought studies

    1. Meteorological drought modeling using recurrent neural networks and LSTM

      • Ali Danandeh Mehr, Hiba Alkubaisi and Rifat Tur

      • 12.1 Introduction

      • 12.2 Methods

      • 12.3 Drought data gathering for central Iraq

      • 12.4 Selection of predictors and performance indices

      • 12.5 Results

      • 12.6 Conclusion

      • AI disclosure

      • References

    2. Data assimilation technologies

      • Samira Sadat Soltani

      • 13.1 Introduction

      • 13.2 Emerging methods for drought monitoring

      • 13.3 Data assimilation in agricultural drought monitoring

      • 13.4 Remote sensing in drought monitoring

      • 13.5 Conclusions and future perspectives

      • References

  • Section IV Case studies

    1. Models (linear, nonlinear, machine learning)

      • Babak Mohammadi

      • 14.1 Introduction

      • 14.2 Materials and methods

      • 14.3 Results and discussion

      • 14.4 Conclusions

      • AI disclosure

      • References

    2. Climate and drought (variability, changes, future droughts)

      • Mohammad Jamali and Saeid Eslamian

      • 15.1 Introduction

      • 15.2 Climate variability

      • 15.3 Climate change

      • 15.4 Climate change models and scenarios

      • 15.5 Drought

      • 15.6 Future of drought and forecasting techniques

      • 15.7 Conclusion

      • References

    3. Regional case study using SPI and Mann–Kendall test

      • Saeid Eslamian and Yaser Sabzevari

      • 16.1 Introduction

      • 16.2 Case study

      • 16.3 Results and discussion

      • 16.4 Conclusion

      • References

    4. Spatiotemporal analysis of temperature rise impact on snow drought in Erzurum, Türkiye

      • Egemen Aras, Muhammet Savas, Babak Vaheddoost and Damla Yılmaz Çelik

      • 17.1 Introduction

      • 17.2 Materials and methods

      • 17.3 Drought indices

      • 17.4 Results

      • 17.5 Discussion

      • 17.6 Conclusions

      • Authorship contribution statement

      • Data availability

      • Declaration of competing interest

      • Acknowledgments

      • Statements and declarations

      • AI disclosure

      • References

    5. CMIP6-based frequency analysis of extreme precipitation in Virginia, USA

      • Sura Dhiyaa Hussein and Mustafa Nuri Balov

      • 18.1 Introduction

      • 18.2 Study area and data collection

      • 18.3 Methodology

      • 18.4 Results and discussions

      • 18.5 Conclusion

      • References

    6. Integrated modeling of climate drought and groundwater quality in Iran

      • Soroosh Sharifi and Saeed Azimi

      • 19.1 Introduction

      • 19.2 Background

      • 19.3 Materials and methods

      • 19.4 Results and discussion

      • 19.5 Conclusions

      • References

      • Further reading

    7. Historical fluctuations of water storage in response to drought: Iran case study

      • Behnam Khorrami

      • 20.1 Introduction

      • 20.2 Study area

      • 20.3 Data preparation and analysis

      • 20.4 GRACE and GRACE-FO data

      • 20.5 Standardized precipitation index

      • 20.6 Wetness percentile index

      • 20.7 Reconstruction of missing GRACE data

      • 20.8 Seasonality assessment

      • 20.9 Trend analysis

      • 20.10 Results and discussion

      • 20.11 Seasonal dynamics of water storage

      • 20.12 Variations of standardized precipitation index

      • 20.13 Associations between water storage variations and drought indices

      • 20.14 Conclusion

      • References

Product details

  • Edition: 1
  • Latest edition
  • Published: February 27, 2026
  • Language: English

About the editors

MS

Mir Jafar Sadegh Safari

Dr. Mir Jafar Sadegh Safari is a hydrologist and associate professor at Yaşar 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.

Affiliations and expertise
Yasar University, Turkey

BV

Babak Vaheddoost

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 groundwater–surface water interactions, drought and flood characterization, water-energy budget, climate change implications, water quality assessment, and flow dynamics.

Affiliations and expertise
Bursa Technical University, Turkey

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