利用G1-熵权耦合赋权TOPSIS法进行滑坡灾害危险性评价:以雅砻江滑坡灾害为例  

Evaluation of the Risk of Iandslide Disaster via the G1-entropy Weight Coupling Weighting TOPSIS Method:Taking Yalong River Landslide Disaster as an Example

作　　者：贾强 赵璠 孙学阳[2,3] JIA Qiang;ZHAO Fan;SUN Xue-yang(Sichuan Institute of Energy Geological Survey,Chengdu 610000,China;Xi'an University of Science and Technology College,Xi'an 710054,China;Shanxi Provincial Key Laboratory of Geological Support for Coal Green Exploitation,Xi'an 710054,China)

机构地区：[1]四川省能源地质调查研究所,成都610000 [2]西安科技大学地质与环境学院,西安710054 [3]陕西省煤炭绿色开发地质保障重点实验室,西安710054

出　　处：《科学技术与工程》2024年第23期9757-9765,共9页Science Technology and Engineering

基　　金：陕西省自然科学基础研究计划(2023-JC-YB-272);国家重点研发计划(2022YFF1303304)。

摘　　要：四川西部地区地理环境复杂,滑坡空间结构多样且变形剧烈。为有效预防滑坡灾害,需要探究相关区域滑坡危险性可靠评价方法。利用G1-熵权耦合赋权逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)构建滑坡灾害危险性评价模型,选取高程、降雨、地震动参数等12个评价因子,对雅砻江滑坡灾害危险性进行评价。依据贴近度将滑坡区域分为4个等级,即高危险区(0.75~1)、较高危险区(0.5~0.75)、中等危险区(0.25~0.5)和低危险区(0~0.25)。同时,对比了由差分干涉测量短基线集时序分析(small baseline subset interferometric synthetic aperture radar,SBAS-InSAR)技术得到的4个区域滑坡实测结果和本文评价模型的分析结果。利用G1-熵权耦合赋权TOPSIS得到九龙县烟袋镇桤木林村高生地滑坡、新龙县和平乡甲西村麻西滑坡、德格县年古乡政府滑坡和甘孜县扎科乡达玛滑坡的贴近度分别为0.854、0.686、0.405和0.224,由SBAS-InSAR技术得到滑坡前缘局部变形速率分别为-150、-43、-66、30 mm/a,二者之间有显著的对应关系,证明本文评价模型的准确性。应用G1-熵权耦合赋权TOPSIS法对滑坡危险性评价具有较高的准确性,该方法可为其他地区滑坡地质灾害评价提供参考。The geographical environment in western Sichuan is complex,and the spatial structure of landslides is diverse and the deformation is severe.In order to effectively prevent landslide disasters,it is necessary to explore the reliable evaluation method of landslide hazard in related areas.The G1-entropy weight coupling weighting TOPSIS(technique for order preference by similarity to ideal solution)was used to construct the landslide hazard assessment model for the first time,and 12 evaluation factors such as elevation,rainfall and ground motion parameters were selected to evaluate the landslide hazard of the Yalong River.According to the closeness degree,the landslide area was divided into four grades,namely,high-risk area(0.75~1),higher-risk area(0.5~0.75),medium-risk area(0.25~0.5)and low-risk area(0~0.25).At the same time,the measured results of four regional landslides obtained by SBAS-InSAR(small baseline subset interferometric synthetic aperture radar)technology and the analysis results of the evaluation model were compared.The G1-entropy weight coupling weighting TOPSIS method,the closeness degree of landslides in Jiulong County,Xinlong County,Dege County and Ganzi County are 0.854、0.686、0.405、0.224 respectively.The local deformation rates of landslide front edge obtained by SBAS-InSAR technology are-150、-43、-66、30 mm/a respectively.There is a significant correspondence between the two,which proves the accuracy of the evaluation model.The research methods and conclusions of this paper can provide theoretical basis and technical reference for the evaluation of landslide geological disasters in other regions of China.

关 键 词：G1-熵权耦合赋权TOPSIS 贴近度 滑坡危险性评价 SBAS-InSAR技术 

分 类 号：P642[天文地球—工程地质学]