CLC number: TV125
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2015-02-10
Cited: 2
Clicked: 5403
Citations: Bibtex RefMan EndNote GB/T7714
Qian Zhu, Xiao Xu, Chao Gao, Qi-hua Ran, Yue-ping Xu. Qualitative and quantitative uncertainties in regional rainfall frequency analysis[J]. Journal of Zhejiang University Science A, 2015, 16(3): 194-203.
@article{title="Qualitative and quantitative uncertainties in regional rainfall frequency analysis",
author="Qian Zhu, Xiao Xu, Chao Gao, Qi-hua Ran, Yue-ping Xu",
journal="Journal of Zhejiang University Science A",
volume="16",
number="3",
pages="194-203",
year="2015",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1400123"
}
%0 Journal Article
%T Qualitative and quantitative uncertainties in regional rainfall frequency analysis
%A Qian Zhu
%A Xiao Xu
%A Chao Gao
%A Qi-hua Ran
%A Yue-ping Xu
%J Journal of Zhejiang University SCIENCE A
%V 16
%N 3
%P 194-203
%@ 1673-565X
%D 2015
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1400123
TY - JOUR
T1 - Qualitative and quantitative uncertainties in regional rainfall frequency analysis
A1 - Qian Zhu
A1 - Xiao Xu
A1 - Chao Gao
A1 - Qi-hua Ran
A1 - Yue-ping Xu
J0 - Journal of Zhejiang University Science A
VL - 16
IS - 3
SP - 194
EP - 203
%@ 1673-565X
Y1 - 2015
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1400123
Abstract: Uncertainty exists widely in hydrological analysis, and this makes the process of uncertainty assessment very important for making robust decisions. In this study, uncertainty sources in regional rainfall frequency analysis are identified for the first time. The numeral unite spread assessment pedigree (NUSAP) method is introduced and is first employed to quantify qualitative uncertainty in regional rainfall frequency analysis. A pedigree matrix is particularly designed for regional rainfall frequency analysis, by which the qualitative uncertainty can be quantified. Finally, the qualitative and quantitative uncertainties are combined in an uncertainty diagnostic diagram, which makes the uncertainty evaluation results more intuitive. From the integrated diagnostic diagram, it can be determined that the uncertainty caused by the precipitation data is the smallest, and the uncertainty from different grouping methods is the largest. For the downstream sub-region, a generalized extreme value (GEV) distribution is better than a generalized logistic (GLO) distribution; for the south sub-region, a Pearson type III (PE3) distribution is the better choice; and for the north sub-region, GEV is more appropriate.
How to take qualitative uncertainty into account is a very difficult task in hydrological analysis. This manuscript identified the key uncertainty sources in regional rainfall frequency analysis, and introduced NUSAP Method to quantify qualitative and quantitative uncertainties simultaneously. Meanwhile, a Pedigree matrix is particularly designed for regional frequency analysis and by which the qualitative uncertainty can be quantified in a reasonable way. Finally, a diagnostic diagram is used to combine the quantitative and qualitative uncertainty. The final results demonstrated the effectiveness of NUSAP Method in evaluating both the quantitative and qualitative uncertainty in regional rainfall frequency analysis. This study presented a novel and useful application of the use of NUSAP Method in regional frequency analysis. Such method is recommended for further use in hydrological analysis and decision making under uncertainty for water management.
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