Floods;
Peaks over threshold;
Annual maximum flood;
Regional flood frequency analysis;
Australia;
Very frequent floods;
GENERALIZED LEAST-SQUARES;
NON-STATIONARITY;
VARIABILITY;
RAINFALL;
QUANTILE;
SERIES;
D O I:
10.1016/j.ejrh.2023.101407
中图分类号:
TV21 [水资源调查与水利规划];
学科分类号:
081501 ;
摘要:
Study region: Southeast Australia Study focus: Regional flood frequency analysis (RFFA) is a widely adopted statistical method to estimate design floods in ungauged catchments. Annual maximum flood (AMF) model is the most popular method in developing RFFA techniques. However, the AMF-based approaches are criticised for its limitations in the range of very frequent to frequent flood estimation. As an alternative, the peaks-over-threshold (POT) based approach has shown theoretical advantages in this flood range. POT based RFFA is currently underemployed internationally due to its complexity in modelling. This study develops POT-based RFFA techniques for south-eastern Australia using data from 151 catchments. A comparison is made between ordinary least squares (OLS) and weighted least squares (WLS) methods in developing POT-based RFFA techniques. New hydrological insights for the region: The OLS based method is found to perform better than the WLS. The median relative error values of the developed prediction equations range 31-38%. The new POT-based RFFA technique overcomes the limitations of the current Australian Rainfall and Runoff, which does not have any RFFA technique for very frequent floods. It is expected that these new POT-based RFFA technique will be used in practice in south-east Australia.
机构:
Zhejiang Univ Water Resources & Elect Power, Coll Hydraul Engn, Hangzhou 310018, Peoples R ChinaZhejiang Univ Water Resources & Elect Power, Coll Hydraul Engn, Hangzhou 310018, Peoples R China
Qin, Zipeng
Tian, Yan
论文数: 0引用数: 0
h-index: 0
机构:
Zhejiang Univ Water Resources & Elect Power, Coll Hydraul Engn, Hangzhou 310018, Peoples R ChinaZhejiang Univ Water Resources & Elect Power, Coll Hydraul Engn, Hangzhou 310018, Peoples R China
Tian, Yan
Wei, Yanji
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h-index: 0
机构:
Eastern Inst Technol, Ningbo Inst Digital Twin, Ningbo, Peoples R ChinaZhejiang Univ Water Resources & Elect Power, Coll Hydraul Engn, Hangzhou 310018, Peoples R China
Wei, Yanji
Chen, Zhenglin
论文数: 0引用数: 0
h-index: 0
机构:
Ruian Water Resources Comprehens Management Ctr, Ruian, Peoples R ChinaZhejiang Univ Water Resources & Elect Power, Coll Hydraul Engn, Hangzhou 310018, Peoples R China
Chen, Zhenglin
Zhu, Xiaoying
论文数: 0引用数: 0
h-index: 0
机构:
Ruian Water Resources Comprehens Management Ctr, Ruian, Peoples R ChinaZhejiang Univ Water Resources & Elect Power, Coll Hydraul Engn, Hangzhou 310018, Peoples R China
Zhu, Xiaoying
Chen, Qianfu
论文数: 0引用数: 0
h-index: 0
机构:
Ruian Water Conservancy Engn Construct Ctr, Ruian, Peoples R ChinaZhejiang Univ Water Resources & Elect Power, Coll Hydraul Engn, Hangzhou 310018, Peoples R China
Chen, Qianfu
Huang, Weixing
论文数: 0引用数: 0
h-index: 0
机构:
Ruian Water Resources Comprehens Management Ctr, Ruian, Peoples R ChinaZhejiang Univ Water Resources & Elect Power, Coll Hydraul Engn, Hangzhou 310018, Peoples R China
Huang, Weixing
Yu, Rong
论文数: 0引用数: 0
h-index: 0
机构:
Ruian Water Resources Comprehens Management Ctr, Ruian, Peoples R ChinaZhejiang Univ Water Resources & Elect Power, Coll Hydraul Engn, Hangzhou 310018, Peoples R China
Yu, Rong
Cheng, Xiang
论文数: 0引用数: 0
h-index: 0
机构:
Ruian Water Resources Comprehens Management Ctr, Ruian, Peoples R ChinaZhejiang Univ Water Resources & Elect Power, Coll Hydraul Engn, Hangzhou 310018, Peoples R China