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基于权重合成-TOPSIS法的重庆公路洪灾危险性评价研究 被引量:1

Study on Highway Flood Hazard Assessment of Chongqing Based on Compounded Weight with TOPSIS Method
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摘要 【目的】针对重庆市公路洪灾特点,对重庆市公路洪灾危险性进行评价研究。【方法】选取重庆市38个区、县城市年均降雨量、公路沿线人口密度、洪水重现期、淹没面积和淹没天数共5个致灾因子作为评价指标建立危险性评价指标体系,构建了基于熵权法和复相关系数法的权重合成模型,得到了各评价指标的合成权重,并运用TOPSIS法对致灾因子进行了评价。【结果】极高、高、中、低和微度危险5个危险区面积比重分别为22.53%,28.6%,7.24%,18.09%和23.54%。【结论】研究结果与公路洪灾实际情况一致,可为重庆市公路洪灾防灾减灾工程提供科学依据。 [Purposes]Aiming at characteristics of highway flood in Chongqing,it takes evaluation research on highway flood hazard in Chongqing.[Methods]The hazard evaluation index system is established based on 5 disaster inducing factors of 38 counties in Chongqing.Those are annual average rainfall,population density along highway,flood recurrence period,submergence area and inundation time.Compounded weight model is built according to the entropy weight method(EWM)and the Multi-correlation coeffi cient method.Thereout,compounded weights for each evaluation indexes are gained and disaster inducing factors are evaluated by using TOPSIS method.[Findings]Evaluation result shows that 5 hazard area weights for extremely high-risk grade,high risk grade,moderate risk grade,low risk grade and micro risk grade are respectively 22.53%,28.6%,7.24%,18.09%,and 23.54%.[Conclusions]The study result is consistent with the actual situation of highway flood and it provides scientific basis for the highway flood disaster prevention and mitigation projects in Chongqing City.
作者 伍仁杰 陈洪凯 WU Renjie;CHEN Hongkai(School of Civil Engineering,Chongqing Jiaotong University,Chongqing 400074;School of City and Architecture Engineering,Zaozhuang University,Zaozhuang Shandong 277160,China)
出处 《重庆师范大学学报(自然科学版)》 CAS 北大核心 2019年第2期44-51,F0002,共9页 Journal of Chongqing Normal University:Natural Science
基金 国家自然科学基金(No.51678097 No.51378521 No.11272185) 重庆市首席专家工作室专项经费(No.201605) 2016年重庆高校创新团队建设计划资助项目(No.CXTDG201602012) 重庆市研究生科研创新项目(No.CYB15110)
关键词 公路洪灾 致灾因子 危险性 权重合成法 TOPSIS法 面积比重 highway flood disaster inducing factors hazard compounded weight TOPSIS method area weight
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