Multivariate Frequency Analysis of Hydro-Meteorological Variables
A Copula-Based Approach
- 1st Edition - November 16, 2022
- Imprint: Elsevier
- Author: Fateh Chebana
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 5 9 0 8 - 7
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 9 0 7 - 0
Multivariate Frequency Analysis of Hydro-Meteorological Variables: A Copula-Based Approach provides comprehensive and detailed descriptions of the approaches and technique… Read more
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Request a sales quoteMultivariate Frequency Analysis of Hydro-Meteorological Variables: A Copula-Based Approach provides comprehensive and detailed descriptions of the approaches and techniques used in multivariate frequency analysis (including, but not limited to copula functions), with illustrative examples and real-life case studies provided. The book presents all background material and new developments in one place, presenting the material in a homogeneous and pedagogical way in order to allow students, engineers and researchers to access and efficiently use all information surrounding this topic.
This reference can be used as a guide to apply the available and recent approaches to evaluate hydro-meteorological risks, to design hydraulic structures, in teaching (faculty members), and as a literature review to go to the next steps in research projects (graduate students and postdocs).
- Presents methods for analysis of hydro-meteorological risks followed by illustrative examples based on real life data sets
- Provides definitions throughout on all new topics and key terms
- Includes case studies and real-life examples covering a variety of situations and showing how this work can be applied in the reader’s own work
Hydrologists at researcher level and above Meteorologists, Statisticians and Civil-Engineers
- Cover image
- Title page
- Table of Contents
- Copyright
- Acknowledgments
- Chapter 1. Introduction
- Abstract
- 1.1 Context
- 1.2 Purpose and aims
- 1.3 Readership
- 1.4 Structure and content
- 1.5 How to read this book?
- 1.6 Final points
- References
- Chapter 2. Multivariate hydrological frequency analysis, overview
- Abstract
- 2.1 General aims of hydrological frequency analysis
- 2.2 From univariate to multivariate hydrological frequency analysis
- 2.3 Hydrological events and their main features
- References
- Chapter 3. Multivariate preliminary analysis
- Abstract
- 3.1 Context and motivation
- 3.2 Visualization
- 3.3 Cross-dependence measures
- 3.4 Outliers
- 3.5 Location measures
- 3.6 Scale measures
- 3.7 Asymmetry
- 3.8 Kurtosis
- References
- Chapter 4. Checking basic assumptions for multivariate hydrological frequency analysis
- Abstract
- 4.1 Introduction and general considerations
- 4.2 Stationarity
- 4.3 Homogeneity
- 4.4 Serial independence
- 4.5 Complete illustrative example
- References
- Chapter 5. Modeling in multivariate hydrological frequency analysis with copula
- Abstract
- 5.1 Introduction
- 5.2 Description of copula models
- 5.3 Classes of copula
- 5.4 Dependence measures
- 5.5 Copula parameter estimation
- 5.6 Copula selection
- References
- Chapter 6. Multivariate return period and quantile
- Abstract
- 6.1 Risk assessment in hydrology
- 6.2 Multivariate return periods and multivariate quantile: generalities
- 6.3 Methods to select combinations
- References
- Chapter 7. Multivariate nonstationary frequency analysis
- Abstract
- 7.1 Nonstationary hydrological frequency analysis
- 7.2 Multivariate nonstationary hydrological frequency analysis literature
- 7.3 Multivariate nonstationary models
- 7.4 Illustrative example
- References
- Chapter 8. Multivariate regional frequency analysis
- Abstract
- 8.1 Regional hydrological frequency analysis
- 8.2 Multivariate regional frequency analysis
- 8.3 Delineation
- 8.4 Multivariate estimation (index-flood model)
- 8.5 Discussion
- References
- Appendix A. Ties in the copula-based framework and in hydrology
- Appendix B. Statistical depth functions
- Appendix C. Multivariate L-moments
- Appendix D. p-Value computation
- Index
- Edition: 1
- Published: November 16, 2022
- Imprint: Elsevier
- No. of pages: 216
- Language: English
- Paperback ISBN: 9780323959087
- eBook ISBN: 9780323959070
FC
Fateh Chebana
Fateh Chebana’s background is in statistics and since 2005 his interests have been focused on application, adaptation and development of statistical approaches for hydro-meteorological phenomena. Having experience and background in both areas (hydro-meteorological and statistics) allows Chebana to present solid material well theoretically justified, and with applied orientations in terms of problematic, understanding of data, and interpretation of the results as well as indicating their usefulness. Several of his papers and professional activities are closely connected to the topic of the proposed book, in particular two chapters, as a lead author of a community paper about the Legacy of STAHY (international statistical hydrology commission), organised sessions in international conferences, Chair of the STAHY2016 workshop, co-chair of the international CRM–CANSSI 2014 Workshop on New Horizons in Copula Modeling, Invited National Webinar by Canadian Water Resources Association.
Affiliations and expertise
Full Professor, Centre Eau Terre Environnement (ETE), Institut national de la recherche scientifique (INRS), University of Quebec, CanadaRead Multivariate Frequency Analysis of Hydro-Meteorological Variables on ScienceDirect