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

Authors:
; ; ;
Publication Date:
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
OSTI Identifier:
1413500
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article
Journal Name:
Stochastic environmental research and risk assessment
Additional Journal Information:
Journal Volume: 32; Journal Issue: 1; Journal ID: ISSN 1436-3240
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
Quarterly and semi-annual sampling; Optimum distribution; Flood frequency; Designed value

Citation Formats

Ye, Wen, Wang, Cheng, Xu, Xinyi, and Wang, Hongrui. On seasonal and semi-annual approach for flood frequency analysis. United States: N. p., 2017. 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. Thu . "On seasonal and semi-annual approach for flood frequency analysis". United States. doi:10.1007/s00477-017-1427-7.
@article{osti_1413500,
title = {On seasonal and semi-annual approach for flood frequency analysis},
author = {Ye, Wen and Wang, Cheng and Xu, Xinyi and Wang, Hongrui},
abstractNote = {},
doi = {10.1007/s00477-017-1427-7},
journal = {Stochastic environmental research and risk assessment},
issn = {1436-3240},
number = 1,
volume = 32,
place = {United States},
year = {2017},
month = {7}
}

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