Editors:
- Offers a comprehensive overview of hydrological modeling
- Discusses in detail the challenges in hydrological modeling
- Is of interest for researchers, practitioners, and decision-makers alike
Part of the book series: Springer Water (SPWA)
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Table of contents (11 chapters)
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Front Matter
About this book
This book offers a comprehensive overview of the challenges in hydrological modeling. Hydrology, on both a local and global scale, has undergone dramatic changes, largely due to variations in climate, population growth and the associated land-use and land-cover changes. Written by experts in the field, the book provides decision-makers with a better understanding of the science, impacts, and consequences of these climate and land-use changes on hydrology. Further, offering insights into how the changing behavior of hydrological processes, related uncertainties and their evolution affect the modeling process, it is of interest for all researchers and practitioners using hydrological modeling.
Editors and Affiliations
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Hydrological Processes, National Institute of Water and Atmospheric Research, Christchurch, New Zealand
Shailesh Kumar Singh
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Department of Civil Engineering, Indian Institute of Technology (IIT) Delhi, New Delhi, India
C.T. Dhanya
Bibliographic Information
Book Title: Hydrology in a Changing World
Book Subtitle: Challenges in Modeling
Editors: Shailesh Kumar Singh, C.T. Dhanya
Series Title: Springer Water
DOI: https://doi.org/10.1007/978-3-030-02197-9
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-02196-2Published: 04 March 2019
eBook ISBN: 978-3-030-02197-9Published: 18 February 2019
Series ISSN: 2364-6934
Series E-ISSN: 2364-8198
Edition Number: 1
Number of Pages: VI, 253
Number of Illustrations: 20 b/w illustrations, 72 illustrations in colour
Topics: Earth System Sciences, Hydrology/Water Resources, Climate Change, Natural Hazards, Monitoring/Environmental Analysis, Simulation and Modeling