摘要
分析了对不同时间段分区域进行地质灾害损失程度评价的必要性,同时认为损失程度的等级划分具有一定的模糊性,用模糊数学的相关原理和方法解决该问题符合实际情况。通过构建基于模糊聚类分析的地质灾害损失程度评价模型,选取最优的距离计算方法,用MATLAB语言编程模拟该数学化的描述,并检验模型的精准度,最后得出聚类结果,绘制了动态聚类图。分类结果显示,近9年全国地质灾害损失程度等级划分为严重、较严重和一般严重三个等级时,各聚类节点差异性满足常规分类要求,表明所构建模型用于地质灾害损失程度评价符合实际情况,模型有较强的实用性。
This paper analyzed the necessity of evaluating regional loss extent of geological disasters at different time, indicating that the ranking of loss extent has certain fuzziness,and also is associated with the fuzzy mathematical principles and methods to solve the problem. By establishing a mathematical model of loss extent evaluation of geological harards based on fuzzy clustering, an optimal distance method was selected, MATLAB programming language was used to simulate the mathematical description, then the model＇s accuracy was tested, and finally clustering results were obtained and dynamic clustering graphs were plotted. Classification results show that, in the latest 9 years, when the national geological disaster loss extent is classified as such three levels as severe, severer and generally severe, and differences in each cluster node meet the requirements of conventional categories, indicating that the model used to evaluate the loss extent is consistent with actual situations, and is of good practicability.
出处
《地球与环境》
CAS
CSCD
北大核心
2010年第4期428-433,共6页
Earth and Environment
基金
西部交通建设科技项目(2009318000001)
关键词
地质灾害
损失程度评价
模糊聚类
geological hazard
loss extent evaluation
fuzzy clustering analysis
