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Copulas and Its Application in Hydrology and Water Resources

  • Lu Chen
  • Shenglian Guo

Part of the Springer Water book series (SPWA)

Table of contents

  1. Front Matter
    Pages i-x
  2. Lu Chen, Shenglian Guo
    Pages 1-11
  3. Lu Chen, Shenglian Guo
    Pages 13-38
  4. Lu Chen, Shenglian Guo
    Pages 39-71
  5. Lu Chen, Shenglian Guo
    Pages 73-96
  6. Lu Chen, Shenglian Guo
    Pages 97-116
  7. Lu Chen, Shenglian Guo
    Pages 237-271
  8. Lu Chen, Shenglian Guo
    Pages 273-290

About this book

Introduction

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.

Keywords

Copula theory Application in hydrology and water resources Hydrological frequency analysis Risk analysis Stochastic simulation Dependence analysis of hydrological variables

Authors and affiliations

  • Lu Chen
    • 1
  • Shenglian Guo
    • 2
  1. 1.School of Hydropower & Information EngineeringHuazhong University of Science and TechnologyWuhanChina
  2. 2.State Key Laboratory of Water Resources and Hydropower Engineering ScienceWuhan UniversityWuhanChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-0574-0
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-981-13-0573-3
  • Online ISBN 978-981-13-0574-0
  • Series Print ISSN 2364-6934
  • Series Online ISSN 2364-8198
  • Buy this book on publisher's site