基于聚类分析法的地质灾害风险评价——以韩城市为例

在充分分析韩城市地质灾害调查数据的基础上,采用聚类分析方法对韩城市地质灾害进行风险性评价。首先借助ArcGIS和SPSS软件,抽象出11类地质灾害危险性评价因子和5类易损性评价因子,然后分别基于K平均聚类分析法和系统聚类分析法评价了韩城市地质灾害的危险性和承灾体的易损性,最后根据地质灾害危险性与承灾体易损性的评价结果对韩城市地质灾害风险性进行了评价和分级。研究结果表明,地质灾害风险评价分区结果与实际情况相符,评价方法合理有效,与传统的层次分析和专家打分法相比,规避了人为主观因素的影响,而且操作简单,具有较高效率。该问题的研究能够为地质灾害风险评价提供一定的理论依据和实际指导。

Application of cluster analysis method in geological hazard risk assessment-Taking Hancheng city as an example

Based on the full analysis of the geological hazard survey data in Hancheng City, with the help of ArcGIS and SPSS software, 11 types of geological hazard probability evaluation factors and 5 types of vulnerability evaluation factors were abstracted. Based on the K-means cluster analysis method, the geological hazard were evaluated. Risks, using systematic clustering method to analyze the vulnerability of elements of risk, and then evaluate the geological hazard risk in Hancheng. The research results show that the results of the geological hazard risk assessment zone are consistent with the actual situation, the evaluation method is reasonable and effective, and the K-means cluster analysis method has the advantages of simple operation, good classification results, and efficient convergence of large data sets. It is in line with traditional AHP and experts Compared with the scoring method, it avoids the influence of human subjective factors. The research on this issue can provide certain theoretical basis and practical guidance for geological hazard risk assessment.