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
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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 |
DOI | 10.3390/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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