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Modeling and Mitigation Measures for Managing Extreme Hydrometeorological Events Under a Warming Climate

1st Edition - May 10, 2023

Editors: Kasiviswanathan KS, Soundharajan Dr., Sandhya Patidar, Jianxun He, C.S.P. Ojha

Paperback ISBN:

9 7 8 - 0 - 4 4 3 - 1 8 6 4 0 - 0

eBook ISBN:

9 7 8 - 0 - 4 4 3 - 1 8 6 4 1 - 7

Modeling and Mitigation Measures for Managing Extreme Hydrometeorological Events Under a Warming Climate explores the most recent computational tools, modeling frameworks, and… Read more

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Modeling and Mitigation Measures for Managing Extreme Hydrometeorological Events Under a Warming Climate explores the most recent computational tools, modeling frameworks, and critical data analysis measures for managing extreme climate events. Extreme climate events—primarily floods and droughts—have had major consequences in terms of loss of life and property around the world. Managing extreme occurrences, reducing their effects, and establishing adaptation strategies requires significant policy and planning improvements. This practical guide explores the latest research literature, recent advanced modeling approaches, and fundamental ideas and concepts to provide a variety of solutions for managing extreme events.

Cover image
Title page
Table of Contents
Series Page
Copyright
Contributors
Preface
Acknowledgments
Chapter 1: Spatiotemporal rainfall variability and trend analysis over all the districts of West Bengal during 1980–2021
Abstract
1: Introduction
2: Material and methodology
3: Methodology
4: Results and discussion
5: Conclusions
Appendix
References
Chapter 2: Rice cultivation and water sustainability in peninsular India: Examining the challenges of climate change through extreme rainfall events with the Markov chain approach
Abstract
1: Introduction
2: Materials and methods
3: Result and discussion
4: Conclusion
Acknowledgment
References
Chapter 3: Nonstationarity analyses of design rainfall using Bayesian approaches
Abstract
1: Introduction
2: Data and method
3: Results and discussion
4: Summary and conclusion
Declaration of competing interest
Funding statement
Authors’ contribution
Availability of data and material
Code availability
Ethics approval
Consent to participate
Consent for publication
References
Chapter 4: Satellite image-based spectral indices for assessing linkage of land use/land cover change and land surface temperature
Abstract
1: Introduction
2: Study area and data used
3: Methodology
4: Results and discussion
5: Conclusions
Acknowledgments
References
Further reading
Chapter 5: A comparative evaluation of machine learning and ARIMA models for forecasting relative humidity over Odisha districts
Abstract
1: Introduction
2: Research area and data sourcing
3: Methodology
4: Results and discussion
5: Conclusions
Declarations
Funding
Availability of data and material
Code availability
References
Chapter 6: A system-based probing of the effects of climate and societal perturbations on water resources management
Abstract
1: Introduction
2: Conceptual review
3: Methodology
4: Case of study
5: Results
6: Conclusions
References
Chapter 7: Flood susceptibility mapping of the Peddavagu River Basin using GIS-AHP techniques
Abstract
1: Introduction
2: Description of data and study area
3: Methodology
4: Results and discussion
5: Summary and conclusion
Acknowledgment
Funding
Availability of data and materials
Declarations
Competing interests
References
Chapter 8: From science to policy—Toward an approach linking extreme rainfall events to climate resilience and policy development: A case study from Kerala, India
Abstract
1: Introduction
2: Description of the study area
3: Kerala climatology
4: Severe weather in Kerala
5: EREs of 2018 and 2019
6: Impacts of EREs in the regional context
7: Policy responses
8: Summary
References
Further reading
Chapter 9: A comparison between partial duration series and annual maximum series modeling for flood frequency analysis
Abstract
1: Introduction
2: Methodology
3: Description of data and study area
4: Results and discussion
5: Conclusions
References
Chapter 10: Exploring the potential of data-driven models for streamflow simulation in Himalayan region
Abstract
1: Introduction
2: Description of study area and models
3: Description of models used
4: Methodology
5: Results and discussion
6: Conclusion
References
Chapter 11: Modeling gated recurrent unit (GRU) neural network in forecasting surface soil wetness for drought districts of Odisha
Abstract
1: Introduction
2: Research regions and dataset sources
3: Procedural summary
4: Results and discussion
5: Conclusions
Declarations
Funding
Availability of data and material
Code availability
References
Chapter 12: Understanding the link between groundwater system and climate change: An assessment of groundwater vulnerability
Abstract
1: Introduction
2: Major threats to groundwater
3: The concept of groundwater vulnerability
4: Purpose of groundwater vulnerability assessments
5: Groundwater vulnerability assessment methods
6: Comparison of existing groundwater vulnerability assessment methods
7: Drawbacks of existing groundwater vulnerability-assessment methods
8: Opportunities of existing groundwater vulnerability-assessment methods
9: Conclusion
References
Further reading
Chapter 13: Analyses of drought severity and frequency in Afghanistan
Abstract
1: Introduction
2: Materials and methods
3: Results and discussion
4: Conclusion
References
Further reading
Chapter 14: SRM-based quantification of snowmelt runoff in the Beas River Basin of the Himalayan region with the aid of MODIS/TERRA snow cover data products
Abstract
1: Introduction
2: Study area and data sets
3: Methodology
4: Results
5: Discussion and conclusions
References
Chapter 15: An optimization approach for reducing the bias in standard plotting position methods
Abstract
1: Introduction
2: History of plotting position methods
3: Proposed method
4: Results and discussion
5: Conclusion
References
Index

Kasiviswanathan KS

Dr. Kasiviswanathan K S is an Assistant Professor at the Indian Institute of Technology (IIT) Roorkee's Department of Water Resources Development and Management. Quantification of uncertainty in hydrological models was the focus of his PhD thesis. Reservoir operation, flood forecasting, geographic data analysis, multi-objective optimization, uncertainty, and risk quantification are among his current research interests at IIT Roorkee. He has received numerous prestigious awards, including the American Geophysical Union's Berkner Fellowship, the International Association of Hydrological Sciences' Sivapalan Young Scientist Award, the Department of Science and Technology's Early Career Research Award, and the University of Calgary's Eyes High Postdoctoral Fellowship.

Affiliations and expertise

Assistant Professor, Department of Water Resources Development and Management, Indian Institute of Technology, Roorkee, India

Soundharajan Dr.

Dr. Soundharajan is an Associate Professor of Water Resources Management at Amrita Vishwa Vidyapeetham's Civil Engineering Department. His research focuses on water resources system analysis, planning, and management, as well as the behavior of water supply reservoirs and the creation of effective reservoir management and planning tools. Dr. Soundharajan has worked on water resources projects in Asia, Europe, and Africa for over ten years.

Affiliations and expertise

Associate Professor, Department of Civil Engineering, Amrita Vishwa Vidyapeetham, India

Sandhya Patidar

Dr. Sandhya Patidar is an Associate Professor at Heriot-Watt University's Institute for Infrastructure and Environment's School of Energy, Geoscience, Infrastructure, and Society (EGIS). Her primary research focus is on the inter-disciplinary applications of mathematical/statistical tools to real-world problems, particularly in the fields of climate change, the built environment, energy, severe events, and flood risk management. Hidden-Markov Modelling, Stochastic Processes, Time series modeling, Uncertainty and Data Analysis, Complex Networks, Non-Linear Dynamical Systems, Bifurcation Analysis, and Chaos are some of the multidisciplinary research projects she has led and contributed to. She has won numerous awards, including the Best Paper Award in Climate Change, the Best Presentation Award, and the Sir David Wallace Prize for Best Presentation at Loughborough University.

Affiliations and expertise

Associate Professor, Institute for Infrastructure and Environment School of Energy, Geoscience, Infrastructure and Society (EGIS) Heriot-Watt University, UK

Jianxun He

Dr. Jianxun (Jennifer) He is an Associate Professor at the University of Calgary's Schulich School of Engineering's Department of Civil Engineering. Climate change implications on surface water resources, sustainable urban water resource management, surface water quality monitoring and assessment/modeling, flood modeling and forecasting, and hydrological extremes are just a few of Dr. He’s research interests. Her research focuses on field monitoring, statistical analysis, and both physically based and data-driven modeling to improve understanding of physical mechanisms.

Affiliations and expertise

Associate Professor, Department of Civil Engineering Schulich School of Engineering, University of Calgary, Canada

C.S.P. Ojha

Dr. Chandra Shekhar Prasad Ojha is a Professor at the Indian Institute of Technology Roorkee's Department of Civil Engineering. Water Resources Management under Climate Change, Environmental & Fluvial Hydraulics, Surface Water and Ground Water Hydrology, and Flow and Contaminant Transport are among Prof Ojha's research interests. He has been awarded a number of research fellowships, including the Alexander von Humboldt Research Fellowship Award, the Japan Society for Promotion of Science Invitation Fellowship, and the Common Wealth Research Scholarship Award. He is a visiting professor at Purdue University in Indiana, United States of America.

Affiliations and expertise

Professor, Department of Civil Engineering, Indian Institute of Technology, Roorkee, India