摘要
基于袁家庄街道集镇78个斜坡单元、49个地质灾害点野外调查数据,室内整理分析资料,选取地貌、坡度、坡高、坡向、坡形、地质构造、覆盖层厚度、地层岩组、斜坡结构、地类图斑分类、道路、水系、切坡高度13个因子作为集镇地质灾害易发性评价因子,分析不同地质环境条件分级下地质灾害发育敏感度。利用ArcGIS空间分析功能,结合定量、定性分析结果,采取综合指数法结合层次分析法对集镇范围灾害易发性研究,用自然断点法将集镇分为高易发区、中易发区、低易发区与非易发区4类,易发性分区图与野外调查情况基本一致,其AUC评价指标值为0.904,表明该方法具较高的精度和可靠性,对集镇地质灾害防灾减灾和风险管控具有重大意义。
Based on field survey data of 78 slope units and 49 geological hazard points in Yuanjiazhuang Subdistrict,combined with indoor analysis and data collation,this study selected thirteen factors for assessing the susceptibility of geological hazards in townships.These factors include landform,slope gradient,slope height,aspect,slope shape,geological structure,overburden thickness,lithologic group,slope structure,land use classification,road proximity,hydrological network,and cutting height.The sensitivity of geological hazard development under different grading conditions of the geological environment was analyzed.Using ArcGIS spatial analysis tools,and integrating qualitative and quantitative analysis results,the Analytic Hierarchy Process(AHP)combined with the Comprehensive Index Method was applied to assess the susceptibility of geological hazards within the township.The natural break method was used to classify the area into four zones:very high susceptibility,high susceptibility,moderate susceptibility,and low susceptibility.The susceptibility zoning map is generally consistent with the field investigation results.The AUC(Area Under Curve)evaluation index reaches 0.904,indicating that the method has high accuracy and reliability.This study provides a scientific basis for disaster prevention,mitigation,and risk management in townships.
作者
王小浩
王梦谣
王滔
王晗旭
关东帅
WANG Xiao-hao;WANG Meng-yao;WANG Tao;WANG Han-xu;GUAN Dong-shuai(Shaanxi Nuclear Industry Engineering Survey and Design Institute Co.,Ltd.,Xi’an,Shaanxi 710054,China)
出处
《地下水》
2025年第5期137-140,共4页
Ground water
基金
陕西省科学技术协会青年人才托举计划项目(NYHB202224)。
关键词
集镇
地质灾害
层次分析法
综合指数法
GIS
易发性评价
township
geological hazard
Analytic Hierarchy Process(AHP)
Comprehensive Index Method
GIS
susceptibility assessment
