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The Spatiotemporal Distribution of Flash Floods and Analysis of Partition Driving Forces in Yunnan Province

文献类型：期刊论文

作者Xiong, Junnan2; Ye, Chongchong2; Cheng, Weiming3; Guo, Liang1; Zhou, Chenghu3; Zhang, Xiaolei1
刊名SUSTAINABILITY
出版日期2019-05-02
卷号11期号:10页码:18
关键词flash flood driving factor sensitivity analysis subregion of landcover Yunnan Province
ISSN号2071-1050
DOI10.3390/su11102926
通讯作者Cheng, Weiming(chengwm@lreis.ac.cn)
英文摘要Flash floods are one of the most serious natural disasters, and have a significant impact on economic development. In this study, we employed the spatiotemporal analysis method to measure the spatial-temporal distribution of flash floods and examined the relationship between flash floods and driving factors in different subregions of landcover. Furthermore, we analyzed the response of flash floods on the economic development by sensitivity analysis. The results indicated that the number of flash floods occurring annually increased gradually from 1949 to 2015, and regions with a high quantity of flash floods were concentrated in Zhaotong, Qujing, Kunming, Yuxi, Chuxiong, Dali, and Baoshan. Specifically, precipitation and elevation had a more significant effect on flash floods in the settlement than in other subregions, with a high r (Pearson's correlation coefficient) value of 0.675, 0.674, 0.593, 0.519, and 0.395 for the 10 min precipitation in 20-year return period, elevation, 60 min precipitation in 20-year return period, 24 h precipitation in 20-year return period, and 6 h precipitation in 20-year return period, respectively. The sensitivity analysis showed that the Kunming had the highest sensitivity (S = 21.86) during 2000-2005. Based on the research results, we should focus on heavy precipitation events for flash flood prevention and forecasting in the short term; but human activities and ecosystem vulnerability should be controlled over the long term.
WOS关键词GRAIN PRODUCTION ; RISK-ASSESSMENT ; CHINA ; PREDICTION ; VULNERABILITY ; HAZARD ; DISASTERS ; SYSTEM
资助项目Strategic Priority Research Program of Chinese Academy of Sciences[XDA20030302] ; China Geological Survey Project[DD20190637] ; Open Subject of Big Data Institute of Digital Natural Disaster Monitoring in Fujian[NDMBD2018003] ; Southwest Petroleum University of Science and Technology Innovation Team Projects[2017CXTD09] ; National Flash Flood Investigation and Evaluation Project[SHZH-IWHR-57]
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000471010300209
出版者MDPI
资助机构Strategic Priority Research Program of Chinese Academy of Sciences ; China Geological Survey Project ; Open Subject of Big Data Institute of Digital Natural Disaster Monitoring in Fujian ; Southwest Petroleum University of Science and Technology Innovation Team Projects ; National Flash Flood Investigation and Evaluation Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/59039]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Cheng, Weiming
作者单位1.China Inst Water Resources & Hydropower Res, Beijing 100038, Peoples R China
2.Southwest Petr Univ, Sch Civil Engn & Architecture, Chengdu 610500, Sichuan, Peoples R China
3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Xiong, Junnan,Ye, Chongchong,Cheng, Weiming,et al. The Spatiotemporal Distribution of Flash Floods and Analysis of Partition Driving Forces in Yunnan Province[J]. SUSTAINABILITY,2019,11(10):18.
APA Xiong, Junnan,Ye, Chongchong,Cheng, Weiming,Guo, Liang,Zhou, Chenghu,&Zhang, Xiaolei.(2019).The Spatiotemporal Distribution of Flash Floods and Analysis of Partition Driving Forces in Yunnan Province.SUSTAINABILITY,11(10),18.
MLA Xiong, Junnan,et al."The Spatiotemporal Distribution of Flash Floods and Analysis of Partition Driving Forces in Yunnan Province".SUSTAINABILITY 11.10(2019):18.

入库方式： OAI收割

来源：地理科学与资源研究所

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