气候变化领域集成服务门户(CCPortal): A modified regional L-moment method for regional extreme precipitation frequency analysis in the Songliao River Basin of China

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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 C.; Xia J.; She D.; Xu C.; Zhang L.; Song Z.; Zhao L.
发表日期	2019
ISSN	0169-8095
卷号	230
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. © 2019 Elsevier B.V.
英文关键词	A comprehensive index; L-moments method; Regional frequency analysis; The Songliao River Basin; Xie-Benn index
语种	英语
scopus关键词	Method of moments; Precipitation (meteorology); Risk assessment; Risk perception; Rivers; Watersheds; Comprehensive indices; L-moments; Regional frequency analysis; River basins; Xie-Benn index; Uncertainty analysis; extreme event; frequency analysis; precipitation assessment; precipitation intensity; regional climate; uncertainty analysis; China; Songliao Basin
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/162087
作者单位	State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China; Hubei Provincial Key Laboratory of Water System Science for Sponge City Construction, Wuhan University, Wuhan, 430072, China; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; Department of Geosciences, University of Oslo, Oslo, N-0316, Norway; School of Resource and Environmental Science, Wuhan University, Wuhan, 430072, China
推荐引用方式 GB/T 7714	Hu C.,Xia J.,She D.,et al. A modified regional L-moment method for regional extreme precipitation frequency analysis in the Songliao River Basin of China[J],2019,230.
APA	Hu C..,Xia J..,She D..,Xu C..,Zhang L..,...&Zhao L..(2019).A modified regional L-moment method for regional extreme precipitation frequency analysis in the Songliao River Basin of China.Atmospheric Research,230.
MLA	Hu C.,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).