Flood vulnerability assessment using the triangular fuzzy number-based analytic hierarchy process and support vector machine model for the Belt and Road region

doi:10.1007/s11069-021-04946-9

	Flood vulnerability assessment using the triangular fuzzy number-based analytic hierarchy process and support vector machine model for the Belt and Road region
	Duan, Yu 2; Xiong, Junnan 2,3; Cheng, Weiming 1,3; Wang, Nan 1,3; Li, Yi 4; He, Yufeng 2; Liu, Jun 2; He, Wen 2; Yang, Gang 2
刊名	NATURAL HAZARDS
	2021-07-25
页码	26
关键词	Flood Vulnerability Triangular fuzzy number-based analytic hierarchy process Support vector machine The Belt and Road region
ISSN号	0921-030X
DOI	10.1007/s11069-021-04946-9
通讯作者	Xiong, Junnan(xiongjn@swpu.edu.cn)
英文摘要	Flood is one of the most serious natural disasters in the world. Flood losses in the developing countries throughout the Belt and Road region are more than twice the global average. However, to date, the extent of the vulnerability of the Belt and Road region remains poorly understood. Therefore, this study sought to address this knowledge gap. In this study, we presented a vulnerability assessment model based on triangular fuzzy number-based analytic hierarchy process (TFN-AHP) and support vector machine (SVM) model. Firstly, a geospatial database including 11 flood conditioning factors was built. Secondly, the exposure and disaster reduction capability were calculated based on TFN-AHP and SVM, respectively. Finally, the spatial distribution of vulnerability throughout the Belt and Road region was generated. According to the results, the exposure and disaster reduction capability in most areas are extremely low, accounting for 86.45% and 80.53%, respectively. Meanwhile, the vulnerability of 47,105,300 km(2) areas is low or extremely low, accounting for 93% of the Belt and Road region. The high-vulnerable areas (accounting for 3.54%) are primarily concentrated in the southern and eastern parts of China, northern India, most areas of Bangladesh, the Indus Valley in Pakistan, the Nile River Basin in Egypt, and the central region of Indonesia. Obviously, these regions with high vulnerability are characterized by frequent economic activities and dense populations. As suggested of these results, this study provides scientific and technological evidence for the prevention and mitigation of flood disasters in the countries along the Belt and Road region.
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[2021YFQ0042] ; National Flash Flood Investigation and Evaluation Project[SHZHIWHR-57] ; National Key R&D Program of China[2020YFD1100701] ; Science and Technology Project of Xizang Autonomous Region[XZ201901-GA-07] ; Science and Technology Bureau of Altay Region in Yili Kazak Autonomous Prefecture
WOS关键词	RISK-ASSESSMENT ; SOCIAL VULNERABILITY ; LANDSLIDE SUSCEPTIBILITY ; RIVER-BASIN ; DISASTER VULNERABILITY ; NATURAL DISASTERS ; HAZARD ASSESSMENT ; CLIMATE-CHANGE ; FLASH FLOODS ; GIS
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences ; Water Resources
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000678236100002
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; Key R&D project of Sichuan Science and Technology Department ; National Flash Flood Investigation and Evaluation Project ; National Key R&D Program of China ; Science and Technology Project of Xizang Autonomous Region ; Science and Technology Bureau of Altay Region in Yili Kazak Autonomous Prefecture
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/164833]
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.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Southwest Petr Univ, Sch Civil Engn & Geomat, Chengdu 640500, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China
推荐引用方式 GB/T 7714	Duan, Yu,Xiong, Junnan,Cheng, Weiming,et al. Flood vulnerability assessment using the triangular fuzzy number-based analytic hierarchy process and support vector machine model for the Belt and Road region[J]. NATURAL HAZARDS,2021:26.
APA	Duan, Yu.,Xiong, Junnan.,Cheng, Weiming.,Wang, Nan.,Li, Yi.,...&Yang, Gang.(2021).Flood vulnerability assessment using the triangular fuzzy number-based analytic hierarchy process and support vector machine model for the Belt and Road region.NATURAL HAZARDS,26.
MLA	Duan, Yu,et al."Flood vulnerability assessment using the triangular fuzzy number-based analytic hierarchy process and support vector machine model for the Belt and Road region".NATURAL HAZARDS (2021):26.