Title :
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
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;
Conference_Titel :
Water Resource and Environmental Protection (ISWREP), 2011 International Symposium on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-339-1
DOI :
10.1109/ISWREP.2011.5893076
