基于信息熵改进TOPSIS分析法的断裂构造危险性评价

Risk Assessment of Fault Structure Based on Information Entropy Improved TOPSIS Analysis Method

为了准确定量化评价断裂构造发育情况,在综合分析研究区地质资料及构造纲要图的基础上,选取断层交端点密度、断层强度指数、断层密度以及断层分维值等四个参数作为定量化评价指标。依据熵权法确定各指标权重后,基于TOPSIS模型计算各指标区域得分实现了指标间的信息融合,进而借助Surfer软件绘制得分等值线图,最终依据均值—标准差分类原则划分了构造发育危险等级。结果表明:研究区存在三个危险区,通过与矿区实际情况对比发现,划分的危险分区与实际危险范围相吻合。

In order to accurately determine and quantitatively evaluate the development comdition of fault structures,four parameters,namely the density of fault intersection points,fault strength index,fault density,and fault fractal dimension value,are selected as quantitative evaluation indicators based on a comprehensive analysis of geological data and structural outline maps in the study area.After determining the weights of each indicator based on the entropy weight method,the TOPSIS model is used to calculate the scores of each indicator area to achieve information fusion between indicators.Then,the Surfer software is used to draw the score contour map,and finally,the construction development risk level is divided according to the mean—standard deviation classification principle.The results indicate that there are three danger zones in the study area,and through comparison with the actual situation of the mining area,it is found that the divided danger zones are consistent with the actual danger range.