Flash Flood Susceptibility Assessment Based on Geodetector, Certainty Factor, and Logistic Regression Analyses in Fujian Province, China

doi:10.3390/ijgi9120748

	Flash Flood Susceptibility Assessment Based on Geodetector, Certainty Factor, and Logistic Regression Analyses in Fujian Province, China
	Cao, Yifan 4; Jia, Hongliang 4; Xiong, Junnan 1,4; Cheng, Weiming 1,2; Li, Kun 4; Pang, Quan 4; Yong, Zhiwei 3
刊名	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
	2020-12-01
卷号	9 期号:12 页码:22
关键词	flash flood susceptibility GIS Geodetector certainty factor logistic regression Fujian Province
DOI	10.3390/ijgi9120748
通讯作者	Xiong, Junnan(Xiongjn@swpu.edu.cn)
英文摘要	Flash floods are one of the most frequent natural disasters in Fujian Province, China, and they seriously threaten the safety of infrastructure, natural ecosystems, and human life. Thus, recognition of possible flash flood locations and exploitation of more precise flash flood susceptibility maps are crucial to appropriate flash flood management in Fujian. Based on this objective, in this study, we developed a new method of flash flood susceptibility assessment. First, we utilized double standards, including the Pearson correlation coefficient (PCC) and Geodetector to screen the assessment indicator. Second, in order to consider the weight of each classification of indicator and the weights of the indicators simultaneously, we used the ensemble model of the certainty factor (CF) and logistic regression (LR) to establish a frame for the flash flood susceptibility assessment. Ultimately, we used this ensemble model (CF-LR), the standalone CF model, and the standalone LR model to prepare flash flood susceptibility maps for Fujian Province and compared their prediction performance. The results revealed the following. (1) Land use, topographic relief, and 24 h precipitation (H24_100) within a 100-year return period were the three main factors causing flash floods in Fujian Province. (2) The area under the curve (AUC) results showed that the CF-LR model had the best precision in terms of both the success rate (0.860) and the prediction rate (0.882). (3) The assessment results of all three models showed that between 22.27% and 29.35% of the study area have high and very high susceptibility levels, and these areas are mainly located in the east, south, and southeast coastal areas, and the north and west low mountain areas. The results of this study provide a scientific basis and support for flash flood prevention in Fujian Province. The proposed susceptibility assessment framework may also be helpful for other natural disaster susceptibility analyses.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20030302] ; Key R&D project of Sichuan Science and Technology Department[21QYCX0016] ; Science and Technology Project of Xizang Autonomous Region[XZ201901-GA-07] ; National Flash Flood Investigation and Evaluation Project[SHZH-IWHR-57] ; Southwest Petroleum University of Science and Technology Innovation Team Projects[2017CXTD09]
WOS关键词	LANDSLIDE SUSCEPTIBILITY ; SPATIAL PREDICTION ; FREQUENCY RATIO ; RIVER-BASIN ; MODEL ; AREAS ; RISK ; VULNERABILITY ; OPTIMIZATION ; WEIGHT
WOS研究方向	Physical Geography ; Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000601967500001
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; Key R&D project of Sichuan Science and Technology Department ; Science and Technology Project of Xizang Autonomous Region ; National Flash Flood Investigation and Evaluation Project ; Southwest Petroleum University of Science and Technology Innovation Team Projects
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/137602]
专题	中国科学院地理科学与资源研究所
通讯作者	Xiong, Junnan
作者单位	1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Southwest Petr Univ, Sch Geosci & Technol, Chengdu 610500, Peoples R China 4.Southwest Petr Univ, Sch Civil Engn & Geomat, Chengdu 610500, Peoples R China
推荐引用方式 GB/T 7714	Cao, Yifan,Jia, Hongliang,Xiong, Junnan,et al. Flash Flood Susceptibility Assessment Based on Geodetector, Certainty Factor, and Logistic Regression Analyses in Fujian Province, China[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2020,9(12):22.
APA	Cao, Yifan.,Jia, Hongliang.,Xiong, Junnan.,Cheng, Weiming.,Li, Kun.,...&Yong, Zhiwei.(2020).Flash Flood Susceptibility Assessment Based on Geodetector, Certainty Factor, and Logistic Regression Analyses in Fujian Province, China.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,9(12),22.
MLA	Cao, Yifan,et al."Flash Flood Susceptibility Assessment Based on Geodetector, Certainty Factor, and Logistic Regression Analyses in Fujian Province, China".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 9.12(2020):22.