Authors:
- Shares the latest studies on the concept and methods of copulas for multivariate hydrological analysis
- Enriches readers’ understanding of determining the input for artificial neural networks for flood forecasting using the copula entropy method
- Covers various applications of flood frequency analysis, drought frequency analysis, dependence analysis, and flood coincidence risk analysis
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
Authors and Affiliations
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School of Hydropower & Information Engineering, Huazhong University of Science and Technology, Wuhan, China
Lu Chen
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State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, China
Shenglian Guo
About the authors
-Entropy-based modeling;
-Stochastic modeling;
-Streamflow forecasting;
-Hydrology modelling;
Her research projects include:
-Risk analysis of multi-reservoir flood control operation considering multiple uncertainties (financially supported by National Natural Science Foundation of China)
-Design flood and risk analysis for Cascade reservoir systems. (financially supported by National Natural Science Foundation of China)
-Flood coincidence risk analysis in cascade reservoir systems and its impact on downstream area. (financially supported by Natural Science Foundation of Hubei province)
Professor GUO Shenglian is a professor at Dept. of Hydrology and Water Resources Engineering, Wuhan University. Since 2005, he is Vice Governor, People’s Government of Hubei Province.
Bibliographic Information
Book Title: Copulas and Its Application in Hydrology and Water Resources
Authors: Lu Chen, Shenglian Guo
Series Title: Springer Water
DOI: https://doi.org/10.1007/978-981-13-0574-0
Publisher: Springer Singapore
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-13-0573-3Published: 12 July 2018
Softcover ISBN: 978-981-13-4454-1Published: 29 December 2018
eBook ISBN: 978-981-13-0574-0Published: 28 June 2018
Series ISSN: 2364-6934
Series E-ISSN: 2364-8198
Edition Number: 1
Number of Pages: X, 290
Number of Illustrations: 14 b/w illustrations, 73 illustrations in colour
Topics: Geoengineering, Foundations, Hydraulics, Hydrology/Water Resources, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences