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

doi:10.3390/su11102926

	The Spatiotemporal Distribution of Flash Floods and Analysis of Partition Driving Forces in Yunnan Province
	Xiong, Junnan 1; Ye, Chongchong 1; Cheng, Weiming 2; Guo, Liang 3; Zhou, Chenghu 2; Zhang, Xiaolei 3
刊名	SUSTAINABILITY
	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
DOI	10.3390/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.
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关键词	GRAIN PRODUCTION ; RISK-ASSESSMENT ; CHINA ; PREDICTION ; VULNERABILITY ; HAZARD ; DISASTERS ; SYSTEM
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种	英语
出版者	MDPI
WOS记录号	WOS:000471010300209
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
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/59039]
专题	中国科学院地理科学与资源研究所
通讯作者	Cheng, Weiming
作者单位	1.Southwest Petr Univ, Sch Civil Engn & Architecture, Chengdu 610500, Sichuan, Peoples R China 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.China Inst Water Resources & Hydropower Res, Beijing 100038, 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.