选择地质灾害较为发育的巴东县为研究区,并以该区灾害点为数据样本,利用GIS将灾害点与地层岩性、高程、坡度、坡向、水系组合、遥感影像土地利用分类结果等6个影响因子进行叠加分析,选取灾害点的灾害类型、灾害规模、灾害体的物质类型、高程差、水系岸别等5个属性与叠加分析结果利用Apriori算法进行关联规则挖掘,最后挖掘出灾害规模与水系组合间关系等单因素间关联以及不同灾害属性与各因子间的关系等多因素间关联。通过与前人的相关研究成果对比分析,证明得出的规则具有合理性并符合实际情况,可为地质灾害分析决策提供先验知识。
In this paper,Badong county is chosen as the study area because of the development of geological hazard,and the disaster points are as the sample data.Firstly,GIS is used to overlay the disaster points and other factors,such as formation lithology,elevation,slope,aspect,stream combination and land-use classification of remote sensing images.And then the at tributes of disaster points,for example,the type,the scale,the material,the difference of elevation,the river bank,are selected and using Apriori algorithm for mining association rules between the selected attributes and the overlaying result.Finally this paper mines the single factor association such as the disaster scale and the stream combination,and the multivariate association such as the attributes of disasters and the related factors.Compared with the previous research results,the rules are in accordance with the actual situation and can provide transcendental information and knowledge for analysis and decision in geological hazard.