Extreme value flood frequency analysis at water gauging station near the Dongting lake

Author

Zisheng, Ouyang ; Xiangqun, Yang

Author_Institution

Dept. of Finance, Hunan Univ. of Commerce, Changsha, China

Volume

1

fYear

2011

Firstpage

592

Lastpage

594

Abstract

The generalized extreme value (GEV) model has been recommended by FEMA (Federal Emergency Management Agency of the United States). In this study, we choose annual maximum water levels at two water gauging stations with long history data (more than 50 years) for flood frequency analysis. The maximum likelihood estimation (MLE) method is used to estimate the parameters of the GEV model. The return level and the probability that next year´s annual maximum level exceeds all previous level are obtained.

Keywords

floods; lakes; maximum likelihood estimation; China; Dongting lake; FEMA; GEV model parameter estimation; MLE method; US Federal Emergency Management Agency; annual maximum water levels; extreme value flood frequency analysis; generalized extreme value model; maximum likelihood estimation; water gauging station; Analytical models; Floods; Frequency estimation; Lakes; Maximum likelihood estimation; Annual maximum water level; return level; the generalized extreme value distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

Water Resource and Environmental Protection (ISWREP), 2011 International Symposium on

Conference_Location

Xi´an

Print_ISBN

978-1-61284-339-1

Type

conf

DOI

10.1109/ISWREP.2011.5893076

Filename

5893076