中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Clustering Daily Extreme Precipitation Patterns in China

文献类型:期刊论文

作者Huang, Hefei; Cui, Huijuan4; Singh, Vijay P.
刊名WATER
出版日期2023-10-01
卷号15期号:20页码:3651
关键词climate change extreme precipitation statistical distribution characteristics China clustering
DOI10.3390/w15203651
产权排序1
文献子类Article
英文摘要Different regions exhibit significant differences in the characteristics of extreme precipitation, and the differentiation of such characteristics is not reported for all regions. To distinguish the characteristics of extreme precipitation in different regions in China, we extracted the distribution characteristics of extreme precipitation from daily precipitation data at 649 stations in China, 1961-2017, spatially grouped them by cluster analysis, and, finally, evaluated the effectiveness of zoning by a homogeneity test. Results showed that China can be divided into 33-35 extreme precipitation zones. Our map exhibits better homogeneity than the conventional climate map and other methods reported in the literature and better characterizes the regional distribution characteristics of extreme precipitation. It is noted that long-duration extreme precipitation has a more significant regional distribution consistency than short-duration extreme precipitation. Further, the western and northern regions of China are more prone to sudden, high-intensity extreme precipitation events, whereas the southeastern region is more vulnerable to frequent, high-intensity extreme precipitation events.
WOS关键词REGIONAL FREQUENCY-ANALYSIS ; RIVER-BASIN ; RAINFALL
WOS研究方向Environmental Sciences & Ecology ; Water Resources
WOS记录号WOS:001095208800001
源URL[http://ir.igsnrr.ac.cn/handle/311030/199469]  
专题陆地表层格局与模拟院重点实验室_外文论文
作者单位1.Singh, Vijay P.] Texas A&M Univ, Zachry Dept Civil Engn, 321 Scoates Hall,2117 TAMU, College Stn, TX 77843 USA
2.Singh, Vijay P.] Texas A&M Univ, Dept Biol & Agr Engn, 321 Scoates Hall,2117 TAMU, College Stn, TX 77843 USA
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Key Lab Land Surface Patterns & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Huang, Hefei,Cui, Huijuan,Singh, Vijay P.. Clustering Daily Extreme Precipitation Patterns in China[J]. WATER,2023,15(20):3651.
APA Huang, Hefei,Cui, Huijuan,&Singh, Vijay P..(2023).Clustering Daily Extreme Precipitation Patterns in China.WATER,15(20),3651.
MLA Huang, Hefei,et al."Clustering Daily Extreme Precipitation Patterns in China".WATER 15.20(2023):3651.

入库方式: OAI收割

来源:地理科学与资源研究所

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