On seasonal and semi-annual approach for flood frequency analysis
- Beijing Normal Univ., Beijing (China)
- Argonne National Lab. (ANL), Lemont, IL (United States)
As a supplementary method to the conventional flood frequency analysis based on annual peak flows, we propose an approach in this paper to infer the flood frequency distribution on quarterly and semi-annual time scale, which are then converted to annual time scale to obtain the floods corresponding to return periods in unit of year. Two criteria for test of data independence, namely, minimum 7 and 15-day interval between two consecutive peak flows, are tested. The proposed approach was applied to Des Moines River at Fort Dodge, Iowa, USA using its 62 years of observation daily flows. The results show that the estimated floods for given return periods from quarter-annual data series are in general higher than the corresponding estimated floods from semi-annual data series, which is further larger than estimated floods from annual peak flows. In conclusion, the floods estimated from semi-annual data series agree well with the results of previous US Geological Survey study.
- Research Organization:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Organization:
- Ministry of Science and Technology of the People's Republic of China; USDOE
- Grant/Contract Number:
- AC02-06CH11357
- OSTI ID:
- 1466368
- Journal Information:
- Stochastic environmental research and risk assessment, Vol. 32, Issue 1; ISSN 1436-3240
- Publisher:
- SpringerCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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