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A modified regional L-moment method for regional extreme precipitation frequency analysis in the Songliao River Basin of China

文献类型：期刊论文

作者Hu, Chen2,3; Xia, Jun1,2,3; She, Dunxian2,3; Xu, Chongyu2,4; Zhang, Liping2,3; Song, Zhihong2,3; Zhao, Lin5
刊名ATMOSPHERIC RESEARCH
出版日期2019-12-01
卷号230页码:11
关键词Regional frequency analysis L-moments method A comprehensive index Xie-Benn index The Songliao River Basin
ISSN号0169-8095
DOI10.1016/j.atmosres.2019.104629
通讯作者Xia, Jun(xiajun666@whu.edu.cn) ; She, Dunxian(shedunxian@whu.edu.cn)
英文摘要The regional frequency analysis (RFA) is a widely used method in analyzing the changes of extreme precipitation (EP). The uncertainties in the identification of homogeneous subregions and the selection of optimal regional frequency distributions can largely influence the results of the RFA. In this study, the fuzzy c-means method combined with the extended Xie-Benn index (FCXB) is used to help determine the optimal division of subregions. In addition, we introduce a new comprehensive index (CI) to overcome the shortcomings of present measures and reduce the uncertainty in regional frequency distribution selection. The changes of EP at 93 meteorological stations in the Songliao River Basin (SRB) during 1960 to 2016 is analyzed. The main results show that: (1) FCXB can effectively identify the optimum number of homogeneous subregions automatically, and the corresponding subregion division is proven to be reasonable and reliable; (2) compared with the single goodness-of-fit measure, the developed CI can reduce the uncertainties in distribution selection and determine the optimal regional distribution in a reliable way; (3) the estimated EP under different return periods both decrease from the south to the north of the SRB, which indicates the risk of high-intensity EP events in the southern SRB is relatively higher. These findings can provide technical support for local policymakers to formulate effective measures to lessen the damages of the EP on ecosystem and society.
WOS关键词RAINFALL EXTREMES ; NORTHEAST CHINA ; CLIMATE-CHANGE ; DROUGHT ; TRENDS
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23040304] ; Research Council of Norway (FRINATEK Project)[274310] ; Fundamental Research Funds for the Central Universities[2042018kf0222]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000513176300008
出版者ELSEVIER SCIENCE INC
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; Research Council of Norway (FRINATEK Project) ; Fundamental Research Funds for the Central Universities
源URL[http://ir.igsnrr.ac.cn/handle/311030/132883]  
专题中国科学院地理科学与资源研究所
通讯作者Xia, Jun; She, Dunxian
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
3.Wuhan Univ, Hubei Prov Key Lab Water Syst Sci Sponge City Con, Wuhan 430072, Peoples R China
4.Univ Oslo, Dept Geosci, N-0316 Oslo, Norway
5.Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China
推荐引用方式
GB/T 7714		 Hu, Chen,Xia, Jun,She, Dunxian,et al. A modified regional L-moment method for regional extreme precipitation frequency analysis in the Songliao River Basin of China[J]. ATMOSPHERIC RESEARCH,2019,230:11.
APA Hu, Chen.,Xia, Jun.,She, Dunxian.,Xu, Chongyu.,Zhang, Liping.,...&Zhao, Lin.(2019).A modified regional L-moment method for regional extreme precipitation frequency analysis in the Songliao River Basin of China.ATMOSPHERIC RESEARCH,230,11.
MLA Hu, Chen,et al."A modified regional L-moment method for regional extreme precipitation frequency analysis in the Songliao River Basin of China".ATMOSPHERIC RESEARCH 230(2019):11.

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来源：地理科学与资源研究所

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