摘要点击次数: 28  全文下载次数: 0    查看全文  查看/发表评论  下载PDF阅读器
基金项目:江苏省地质矿产科研项目“降雨-干湿循环作用下下蜀土边坡的现场监测及失稳机理研究”(2019KY03)
作者单位
崔雨,崔志鹏,杨春杰,等 江苏省地质矿产局第三地质大队 
摘要:
      合理选取地质灾害影响因子并对因子进行优化分级是准确评价地质灾害易发性的关键。结合研究区实际情况,选取7个指标因子构建滑坡影响因子指标体系,并以各因子条件下滑坡灾害比例和信息量曲线的突变点为依据,对连续型评价指标因子进行优化分级。在此基础上,基于ArcGIS平台,运用层次分析法加权的信息量模型对镇江高新区滑坡灾害的易发性进行评价。根据易发区划分指标将研究区划分为高、中、低滑坡地质灾害易发区,划分结果与已有滑坡灾害分布有较好的对应关系,评价结果具有较高的准确性。该评价方法可为低山丘陵地区滑坡地质灾害的评价与防治规划提供参考。
关键词:影响因子  因子分级  加权信息量模型  ArcGIS  滑坡易发性评价  镇江
Abstract:
      The key to the accurate evaluation of geological hazard susceptibility is to select the influencing factors and factor classification reasonably. According to the actual situation of the study area, seven index factors have been selected to build the landslide influence factor index system. The continuous index factors of evaluation have been optimized and graded with the landslide disaster proportion and the abrupt point of information curve under each factor condition. Based on the grading and the ArcGIS platform, the information model weighted by analytic hierarchy process was used to evaluate susceptibility of landslide in the high-tech region of Zhenjiang. The study area was divided into high, medium and low risk area, which corresponded well with the distribution of existing landslides. This evaluation method can provide reference for the evaluation and control planning of landslide geological hazards in low mountain and hilly areas.
Keywords:influence factor  factor grading  weighted information value model  ArcGIS  susceptibility evaluation of landslide  Zhenjiang
崔雨,崔志鹏,杨春杰,等.基于加权信息量的镇江高新区滑坡地质灾害易发性评价[J].地质学刊,2024,48(1):107-114