The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Multivariate hydrological frequency analysis using copulas
Open accessAbstract
This article presents the modeling of multivariate extreme values using copulas. Our approach allows us to model the dependence structure independently of the marginal distributions, which is not possible with standard classical methods. The methodology has been applied on two different problems in hydrology. The first application is concerned with the combined risk in the framework of frequency analysis. Four copulas have been tested on peak flows from the watershed of Peribonka in Québec, Canada. The second application relates to the joint modeling of peak flows and volumes. Three copulas have been applied to the watershed of the Rimouski River in Québec, Canada. This approach using copulas is promising since it allows us to take into account a wide range of correlation which can happen in hydrology.
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Cites
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Cited by
Everything You Always Wanted to Know about Copula Modeling but Were Afraid to Ask
Genest, C., & Favre, A.-C. (2007) · Journal of Hydrologic Engineering · doi:10.1061/(asce)1084-0699(2007)12:4(347 · Cited by 1,618
Self-citationMultivariate Standardized Drought Index: A parametric multi-index model
Hao, Z., & AghaKouchak, A. (2013) · Advances in Water Resources · doi:10.1016/j.advwatres.2013.03.009 · Cited by 960
A review of quantification methodologies for multi-hazard interrelationships
Tilloy, A., Malamud, B. D., Winter, H., & Joly-Laugel, A. (2019) · Earth-Science Reviews · doi:10.1016/j.earscirev.2019.102881 · Cited by 364
Gräler, B., van den Berg, M. J., Vandenberghe, S., Petroselli, A., Grimaldi, S., De Baets, B., & Verhoest, N. E. C. (2013) · Hydrology and Earth System Sciences · doi:10.5194/hess-17-1281-2013 · Cited by 313
Metadata
- Authors
- Favre, A., El Adlouni, S., Perreault, L., Thiémonge, N., & Bobée, B.
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 2004-01
- Volume
- 40
- Issue
- 1
- ISSN
- 0043-1397 (ISSN-L)
- 1944-7973
- OpenAlex
- W1624356652
- Cited by
- 696
- References
- 36
- FWCI
- 18.86
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
