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

doi:10.1016/j.atmosres.2019.104629

	A modified regional L-moment method for regional extreme precipitation frequency analysis in the Songliao River Basin of China
	Hu, Chen 3,4; Xia, Jun 1,3,4; She, Dunxian 3,4; Xu, Chongyu 3,5; Zhang, Liping 3,4; Song, Zhihong 3,4; Zhao, Lin 2
刊名	ATMOSPHERIC RESEARCH
	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
DOI	10.1016/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.
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关键词	RAINFALL EXTREMES ; NORTHEAST CHINA ; CLIMATE-CHANGE ; DROUGHT ; TRENDS
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
出版者	ELSEVIER SCIENCE INC
WOS记录号	WOS:000513176300008
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
内容类型	期刊论文
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, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China 3.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China 4.Wuhan Univ, Hubei Prov Key Lab Water Syst Sci Sponge City Con, Wuhan 430072, Peoples R China 5.Univ Oslo, Dept Geosci, N-0316 Oslo, Norway
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.