基于格网GIS与灰色关联模型的崩滑流灾害孕灾环境研究

Research on the Developing Zone of Collapse and Landslide or Debris Flow Geohazards Based on Grid-GIS and Grey Correlation Model

以吉林省长白朝鲜族自治县为研究区域,将致灾因子属性纳入到崩滑流孕灾环境评价中,并结合地形地貌、人类活动强度、岩土体结构与地质构造、水文条件、植被状况等构建了指标体系。利用灰色关联模型分析了研究区的孕灾环境,研究结果表明:①区域内崩塌、滑坡、泥石流等地质灾害孕灾环境具有空间集聚性,复杂区域主要集中在临长、长松公路、沿江公路及乡道,少部分分布在村屯和重要设施附近;②将格网区域内的崩塌、滑坡、泥石流的种类、个数和规模做为评价孕灾环境的指标比较合理;③区域内公路沿线,以及矿区周边地质灾害孕灾环境十分复杂,说明人类活动强度是构成本区域地质灾害的主要因素;④根据区域实际情况与本次分析结果比对,发现灰色关联模型能很好地用于地质灾害孕灾环境评估。

This paper takes the Changbai Korean Autonomous County of Jilin Province as the research area,and incorporates the attributes of disaster-causing factors into the assessment of the disaster-precipitation environment of landslides,with the consideration of topography,human activity intensity,rock-soil and geological structure,hydrological conditions,and vegetation status to construct the index system.The grey correlation model was used to analyze the developing zone of geological disasters.The result show that:①The disaster-generating environment of geological disasters such as collapses,landslides,and mudslides in the area is spatially agglomerated.The complex areas are mainly concentrated in LinChang,ChangSong highway and rural roads,and a few are distributed near villages and important facilitiesthe small part is located near the village and the important facilities;②It is reasonable to use the types,numbers and scales of collapses,landslides,and mudslides in the grid area as indicators for evaluating disaster-pregnant environment,topography is the main natural factor that constitutes the complex environment of the regional geological disaster;③The geological disaster environment along the highway and around the mining area is very complex,which shows that the intensity of human activities is the main factor of the regional geological disasters;④through the field investigation and this analysis results comparison,found that the grey correlation analysis can be well used in this research,and the developing zoning of geological disasters has spatial agglomeration.