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基于D-S证据理论改进AHP-熵权的流域洪涝灾害评估研究

苑希民 高瑞梅 田福昌 侯玮

水资源与水工程学报2024,Vol.35Issue(1):9-16,8.
水资源与水工程学报2024,Vol.35Issue(1):9-16,8.DOI:10.11705/j.issn.1672-643X.2024.01.02

基于D-S证据理论改进AHP-熵权的流域洪涝灾害评估研究

Improved AHP-entropy weight method based on D-S evidence theory for basin flood disaster assessment

苑希民 1高瑞梅 1田福昌 1侯玮2

作者信息

  • 1. 天津大学 水利工程智能建设与运维全国重点实验室,天津 300350||天津大学 建筑工程学院,天津 300350
  • 2. 河北工程大学 矿业与测绘工程学院,河北 邯郸 056038
  • 折叠

摘要

Abstract

Based on the consideration of the risk of disaster factors,the sensitivity of the disaster environ-ment,and the vulnerability of the disaster bearing body,a flood risk assessment index system for the Xi-aoqing River Basin was constructed.An improved AHP-entropy weight method based on D-S evidence theory was proposed to calculate the index weight so as to obtain the flood risk index.Then,the natural breakpoint grading method was adopted to determine the flood risk level and the spatial distribution of flood risk in the Xiaoqing River Basin.The results show that the overall risk of flood disasters in the Xi-aoqing River Basin showed a trend of low in the south but high in the north,with high risk areas and higher risk areas accounting for 8.7% and 14.3% of the basin area,respectively,which mainly distribu-ted on toth banks of the main stream and the main tributaries of the Xiaoqing River.The evaluation re-sults obtained are consistent with the actual distribution of flood risk during the occurrence of Typhoon Le-kima,proving that the improved method is superior to individual AHP and entropy weight method.The research results can provide a technical support for the decision-making of flood control and disaster re-duction in the Xiaoqing River Basin.

关键词

D-S证据理论/AHP/熵权法/洪涝灾害评估/小清河流域

Key words

D-S evidence theory/analytic hierarchy process(AHP)/entropy weight method/flood disaster assessment/the Xiaoqing River Basin

分类

建筑与水利

引用本文复制引用

苑希民,高瑞梅,田福昌,侯玮..基于D-S证据理论改进AHP-熵权的流域洪涝灾害评估研究[J].水资源与水工程学报,2024,35(1):9-16,8.

基金项目

国家重点研发计划项目(2022YFC3202501) (2022YFC3202501)

水利部重大科技项目(SKS-2022002) (SKS-2022002)

国家自然基金委创新团队项目(51621092) (51621092)

科技部重点领域创新团队项目(2014RA4031) (2014RA4031)

水资源与水工程学报

OA北大核心CSTPCD

1672-643X

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