globalchange  > 气候变化与战略
DOI: 10.1007/s11069-021-04946-9
论文题名:
Flood vulnerability assessment using the triangular fuzzy number-based analytic hierarchy process and support vector machine model for the Belt and Road region
作者: Duan Y.; Xiong J.; Cheng W.; Wang N.; Li Y.; He Y.; Liu J.; He W.; Yang G.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
语种: 英语
中文关键词: Flood ; Support vector machine ; The Belt and Road region ; Triangular fuzzy number-based analytic hierarchy process ; Vulnerability
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.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168997
Appears in Collections:气候变化与战略

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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

Recommended Citation:
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]. Natural Hazards,2021-01-01
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