陈学军, 杨越, 白汉营, 宋宇, 陈李洁. 2017: 基于ANP-模糊聚类分析法的岩溶塌陷研究. 工程地质学报, 25(5): 1213-1219. DOI: 10.13544/j.cnki.jeg.2017.05.005
    引用本文: 陈学军, 杨越, 白汉营, 宋宇, 陈李洁. 2017: 基于ANP-模糊聚类分析法的岩溶塌陷研究. 工程地质学报, 25(5): 1213-1219. DOI: 10.13544/j.cnki.jeg.2017.05.005
    CHEN Xuejun, YANG Yue, BAI Hanying, SONG Yu, CHEN Lijie. 2017: USE OF ANALYTIC NETWORK PROCESS AND FUZZY CLUSTERING ANALYSIS METHOD IN KARSTIC COLLAPSE. JOURNAL OF ENGINEERING GEOLOGY, 25(5): 1213-1219. DOI: 10.13544/j.cnki.jeg.2017.05.005
    Citation: CHEN Xuejun, YANG Yue, BAI Hanying, SONG Yu, CHEN Lijie. 2017: USE OF ANALYTIC NETWORK PROCESS AND FUZZY CLUSTERING ANALYSIS METHOD IN KARSTIC COLLAPSE. JOURNAL OF ENGINEERING GEOLOGY, 25(5): 1213-1219. DOI: 10.13544/j.cnki.jeg.2017.05.005

    基于ANP-模糊聚类分析法的岩溶塌陷研究

    USE OF ANALYTIC NETWORK PROCESS AND FUZZY CLUSTERING ANALYSIS METHOD IN KARSTIC COLLAPSE

    • 摘要: 采用ANP与模糊聚类分析相结合的分析方法,考虑采矿活动、矿体特性、岩溶条件、上覆盖层、地质构造、水文条件等6大影响因素,在大量工程实测资料基础上,利用ANP计算出各影响因素权重;运用模糊聚类分析进行岩溶塌陷危险性分区,并成功应用在古丹铅锌矿矿区岩溶塌陷分区预测中,其研究结果表明:采矿活动是影响矿区岩溶塌陷的最主要因素,其他因素也是影响矿区岩溶塌陷的主要因素;将研究区域分成了高危险区与低危险区两类;研究所得结果与经验值和实测值基本符合,可为古丹铅锌矿矿区岩溶塌陷的防治提供参考依据,为矿区岩溶塌陷的评价和预测提供一种新的方法与思路。

       

      Abstract: This paper uses the combining method of ANP and fuzzy cluster analysis in karstic collapse. It considers the factors such as mining activities, groundwater movement, karst development and cladding features. It is based on a great deal of practice. It further uses ANP to make a comprehensive analysis towards the influencing degree among various factors and adopts the method of Fuzzy clustering analysis to do clustering in dangerous areas. It is successfully applied to the prediction of karst collapse in Pb-Zn mining area in Gudan. The results indicate that carrying out mining activities is the mainest factors resulting in karst collapse. Other factors have effects on it as well. The study area can be divided into high risk area and low risk area. The results are in line with the empirical value and the measured value, which indicates that this method is reasonable and feasible, and provides a new method and thinking for the evaluation and prediction for dangerous area of karst.

       

    /

    返回文章
    返回