气候变化领域集成服务门户(CCPortal): Flood vulnerability assessment using the triangular fuzzy number-based analytic hierarchy process and support vector machine model for the Belt and Road region

CCPortal

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 Y.; Xiong J.; Cheng W.; Wang N.; Li Y.; He Y.; Liu J.; He W.; Yang G.
发表日期	2021
ISSN	0921030X
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 km2 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. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.
关键词	Flood Support vector machine The Belt and Road region Triangular fuzzy number-based analytic hierarchy process Vulnerability
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206198
作者单位	School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu, 640500, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Aerospace Information Research Institute, CAS, Beijing, 100094, China
推荐引用方式 GB/T 7714	Duan Y.,Xiong J.,Cheng W.,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],2021.
APA	Duan Y..,Xiong J..,Cheng W..,Wang N..,Li Y..,...&Yang G..(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.
MLA	Duan Y.,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).