Testing the Multivariate Hüsler–Reiss Model as a Practical Parametric Approach for Multiple River Flood Risk Assessment Using d4PDF Data: A Case Study in Kyushu Island, Japan-Reference-Cited by-同舟云学术

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Testing the Multivariate Hüsler–Reiss Model as a Practical Parametric Approach for Multiple River Flood Risk Assessment Using d4PDF Data: A Case Study in Kyushu Island, Japan

Published:2024-06 Issue:3 Volume:29 Page:
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Tanaka Tomohiro¹^ORCID,Kitano Toshikazu²

Affiliation:

1. Professor, Graduate School of Engineering, Kyoto Univ., Kyoto-Daigaku-Katsura, Nishikyo-ku, Kyoto 615-8510, Japan (corresponding author). ORCID: .

2. Professor, Dept. of Architecture, Civil Engineering and Industrial Management Engineering, Nagoya Institute of Technology, Nagoya, Aichi 466-8555, Japan.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JHYEFF.HEENG-6065

Reference39 articles.

1. A mixture model for multivariate extremes

2. Centre for Ecology and Hydrology. 1999. Flood estimation handbook. Wallingford, UK: Centre for Ecology and Hydrology.

3. Modeling extreme multivariate events;Coles S. G.;J. R. Stat. Soc. B,1991

4. The pairwise beta distribution: A flexible parametric multivariate model for extremes

5. Dey, D. K., and J. Yan. 2016. Extreme value modeling and risk analysis—Methods and applications. Boca Raton, FL: CRC Press.

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