Overview
- Presents a comprehensive collection of water management tools that address the needs of general and specialist readers
- Includes practical examples that provide a detailed and practical concept of each topic to the readers
- Incorporates in-depth definitions and concepts of each topic that will improve readers' attitudes toward future of the management related tools and improve management plans
Part of the book series: Springer Water (SPWA)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (14 chapters)
-
Front Matter
Keywords
About this book
This book describes concepts and tools needed for water resources management, including methods for modeling, simulation, optimization, big data analysis, data mining, remote sensing, geographical information system, game theory, conflict resolution, System dynamics, agent-based models, multiobjective, multicriteria, and multiattribute decision making and risk and uncertainty analysis, for better and sustainable management of water resources and consumption, thus mitigating the present and future global water shortage crisis. It presents the applications of these tools through case studies which demonstrate its benefits of proper management of water resources systems. This book acts as a reference for students, professors, industrial practitioners, and stakeholders in the field of water resources and hydrology.
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Essential Tools for Water Resources Analysis, Planning, and Management
Editors: Omid Bozorg-Haddad
Series Title: Springer Water
DOI: https://doi.org/10.1007/978-981-33-4295-8
Publisher: Springer Singapore
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-33-4294-1Published: 26 May 2021
Softcover ISBN: 978-981-33-4297-2Published: 27 May 2022
eBook ISBN: 978-981-33-4295-8Published: 25 May 2021
Series ISSN: 2364-6934
Series E-ISSN: 2364-8198
Edition Number: 1
Number of Pages: VI, 343
Number of Illustrations: 43 b/w illustrations, 35 illustrations in colour
Topics: Water, general, Optimization, Statistics, general, Data Structures and Information Theory, Artificial Intelligence