首页|基于WIM的地质灾害易发性评价——以遵化市为例

基于WIM的地质灾害易发性评价——以遵化市为例

扫码查看
以遵化市为例,运用聚类分析方法确定坡高、坡度、坡向、工程地质岩组、地质构造、归一化植被指数(NDVI)、水系、道路8项因子组成地质灾害易发性评价指标体系,运用层析分析法(AHP)与信息量(IM)模型耦合后加权信息量(WIM)模型对研究区开展地质灾害易发性评价.结果表明:研究区高易发区、中易发区、低易发区和非易发区面积(占比)分别为60.94 km2(4.007%)、487.87 km2(32.076%)、330.93 km2(21.757%)、641.26 km2(42.160%);经受试者工作曲线验证,WIM 评价结果AUC值为0.853,高于IM评价结果(AUC=0.712),表明WIM模型评价结果精度更高.研究可为本区域地质灾害评价、防灾减灾工作提供参考依据.
WIM-based geological hazard susceptibility evaluation:Taking Zunhua City as an example
Taking Zunhua City as an example,we used cluster analysis to determine eight factors,including slope height,slope,slope di-rection,engineering geological rock group,tectonics,normalized vegetation index(ND VI),water system,and road,to form a geological hazard susceptibility evaluation index system,and used the weighted information volume(WIM)model after coupling the analysis of lay-ers(AHP)and information volume(IM)model to evaluate the geological hazard susceptibility in the study area.The results showed that the areas of high,medium,low,and non-prone areas in the study area were 60.94 km2(4.007%),487.87 km2(32.076%),330.93 km2(21.757%),and 641.26 km2(42.160%),respectively,and the AUC value of WIM evaluation result was 0.853,which was higher than the IM evaluation result(AUC=0.712),indicating that the WIM model evaluation result was more accurate.It can provide a refer-ence basis for geological hazard evaluation,disaster prevention,and mitigation work in the region.

geological hazardsweighted information volume model(WIM)susceptibility evaluationgeographic information systemcluster analysis

周一文、赵德刚、马丙太、王颖、范成博、彭程

展开 >

河北省地质资源环境监测与保护重点实验室,河北石家庄 050021

河北省地质环境监测院,河北石家庄 050021

地质灾害 加权信息量模型(WIM) 易发性评价 地理信息系统 聚类分析

河北省自然资源厅项目

13000022P00208810006Q

2024

能源与环保
河南省煤炭科学研究院有限公司 河南省煤炭学会

能源与环保

CSTPCD
影响因子:0.221
ISSN:1003-0506
年,卷(期):2024.46(6)
  • 11