
eBook - ePub
Modeling and Mitigation Measures for Managing Extreme Hydrometeorological Events Under a Warming Climate
- 340 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Modeling and Mitigation Measures for Managing Extreme Hydrometeorological Events Under a Warming Climate
About this book
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 eventsâprimarily floods and droughtsâhave 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.
- Discusses the impacts of climate change on the management of water resources
- Provides flood and drought adaptation measures and strategies
- Covers the latest research carried out in the modeling of extreme hydrometeorological variables
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Yes, you can access Modeling and Mitigation Measures for Managing Extreme Hydrometeorological Events Under a Warming Climate by Kasiviswanathan KS,Soundharajan Dr.,Sandhya Patidar,Jianxun He,C.S.P. Ojha in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Environmental Science. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- 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 1980â2021
- 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
- Chapter 3: Nonstationarity analyses of design rainfall using Bayesian approaches
- Chapter 4: Satellite image-based spectral indices for assessing linkage of land use/land cover change and land surface temperature
- Chapter 5: A comparative evaluation of machine learning and ARIMA models for forecasting relative humidity over Odisha districts
- Chapter 6: A system-based probing of the effects of climate and societal perturbations on water resources management
- Chapter 7: Flood susceptibility mapping of the Peddavagu River Basin using GIS-AHP techniques
- Chapter 8: From science to policyâToward an approach linking extreme rainfall events to climate resilience and policy development: A case study from Kerala, India
- Chapter 9: A comparison between partial duration series and annual maximum series modeling for flood frequency analysis
- Chapter 10: Exploring the potential of data-driven models for streamflow simulation in Himalayan region
- Chapter 11: Modeling gated recurrent unit (GRU) neural network in forecasting surface soil wetness for drought districts of Odisha
- Chapter 12: Understanding the link between groundwater system and climate change: An assessment of groundwater vulnerability
- Chapter 13: Analyses of drought severity and frequency in Afghanistan
- 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
- Chapter 15: An optimization approach for reducing the bias in standard plotting position methods
- Index