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Title: On seasonal and semi-annual approach for flood frequency analysis

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.
Authors:
 [1] ;  [2] ;  [1] ;  [1]
  1. Beijing Normal Univ., Beijing (China)
  2. Argonne National Lab. (ANL), Lemont, IL (United States)
Publication Date:
Grant/Contract Number:
AC02-06CH11357
Type:
Accepted Manuscript
Journal Name:
Stochastic environmental research and risk assessment
Additional Journal Information:
Journal Volume: 32; Journal Issue: 1; Journal ID: ISSN 1436-3240
Publisher:
Springer
Research Org:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org:
Ministry of Science and Technology of the People's Republic of China; USDOE
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; designed value; flood frequency; optimum distribution; quarterly and semi-annual sampling
OSTI Identifier:
1466368

Ye, Wen, Wang, Cheng, Xu, Xinyi, and Wang, Hongrui. On seasonal and semi-annual approach for flood frequency analysis. United States: N. p., Web. doi:10.1007/s00477-017-1427-7.
Ye, Wen, Wang, Cheng, Xu, Xinyi, & Wang, Hongrui. On seasonal and semi-annual approach for flood frequency analysis. United States. doi:10.1007/s00477-017-1427-7.
Ye, Wen, Wang, Cheng, Xu, Xinyi, and Wang, Hongrui. 2017. "On seasonal and semi-annual approach for flood frequency analysis". United States. doi:10.1007/s00477-017-1427-7. https://www.osti.gov/servlets/purl/1466368.
@article{osti_1466368,
title = {On seasonal and semi-annual approach for flood frequency analysis},
author = {Ye, Wen and Wang, Cheng and Xu, Xinyi and Wang, Hongrui},
abstractNote = {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.},
doi = {10.1007/s00477-017-1427-7},
journal = {Stochastic environmental research and risk assessment},
number = 1,
volume = 32,
place = {United States},
year = {2017},
month = {7}
}