Springer Water

Copulas and Its Application in Hydrology and Water Resources

Authors: Chen, Lu, Guo, Shenglian

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  • 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 
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eBook 118,99 €
price for Spain (gross)
  • ISBN 978-981-13-0574-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-981-13-0573-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book presents an overview of copula theory and its application in hydrology, and provides valuable insights, useful methods and practical applications for multivariate hydrological analysis using copulas. In addition, it extends the traditional bivariate model to trivariate or multivariate models. The specific applications covered include the study of flood frequency analysis, drought frequency analysis, dependence analysis, flood coincidence risk analysis and statistical simulation using copulas. The book offers a valuable guide for researchers, scientists and engineers working in hydrology and water resources, and will also benefit graduate or doctoral students with a basic grasp of copula functions who want to learn about the latest research developments in the field.

About the authors

Dr. CHEN Lu is an Associate Professor (11/2015–present) Huazhong University of Science and Technology, Wuhan, China. She holds the Ph.D. in Hydrology and water resources from Wuhan University. Her Research Interests include:-Copula-based modelling;-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.

Table of contents (11 chapters)

Table of contents (11 chapters)
  • Introduction

    Chen, Lu (et al.)

    Pages 1-11

  • Copula Theory

    Chen, Lu (et al.)

    Pages 13-38

  • Copula-Based Flood Frequency Analysis

    Chen, Lu (et al.)

    Pages 39-71

  • Copula-Based Seasonal Design Flood Estimation

    Chen, Lu (et al.)

    Pages 73-96

  • Drought Analysis Using Copulas

    Chen, Lu (et al.)

    Pages 97-116

Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-981-13-0574-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-981-13-0573-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Copulas and Its Application in Hydrology and Water Resources
Authors
Series Title
Springer Water
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-0574-0
DOI
10.1007/978-981-13-0574-0
Hardcover ISBN
978-981-13-0573-3
Series ISSN
2364-6934
Edition Number
1
Number of Pages
X, 290
Number of Illustrations
14 b/w illustrations, 73 illustrations in colour
Topics