Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention

The Return Period Analysis of Beijing Heavy Rainfall Based on Copula

Authors
Weihua Cao
Corresponding Author
Weihua Cao
Available Online November 2016.
DOI
https://doi.org/10.2991/rac-16.2016.63How to use a DOI?
Keywords
Heavy rainfall, Copula, Return period, Beijing
Abstract
Heavy rainfall is a serious hazard, which lead to losses of urban property and cause casualties. In this paper, based on hourly precipitation data of Guanxiangtai meteorological station of Beijing, bivariate joint distribution of heavy rainfall is established using the observed data of accumulated precipitation and duration. The joint return periods of heavy rainfall are calculated. The results show there is a significant linear relationship between factors of accumulated precipitation and duration. GEV distribution is appropriate for accumulated precipitation and duration, and the joint distribution of the two variables can be characterized by Gumbel Copula, which is more comprehensive in analyzing the frequency characteristics of heavy rainfall events. The research can provide a foundation for further applications in disaster prevention and reduction.
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Proceedings
7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
Publication Date
November 2016
ISBN
978-94-6252-242-8
DOI
https://doi.org/10.2991/rac-16.2016.63How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Weihua Cao
PY  - 2016/11
DA  - 2016/11
TI  - The Return Period Analysis of Beijing Heavy Rainfall Based on Copula
BT  - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/rac-16.2016.63
DO  - https://doi.org/10.2991/rac-16.2016.63
ID  - Cao2016/11
ER  -