摘要
利用GIS与多重分形奇异值理论,探讨了一种用地球化学数据提取断裂构造信息的方法。基于滇东南地区1∶20万水系沉积物地球化学数据,依据构造地球化学原理选取Au、As、Sb、Hg、W、Sn、Bi共7种元素进行构造信息提取。经因子分析及因子旋转,发现主因子得分的空间分布与已知岩浆岩及断裂的空间展布行迹密切相关。通过计算断裂构造因子的奇异性指数进行弱信息增强,凸显出断裂构造的弱异常。将奇异性指数作为证据层,点状要素化的断裂构造数据作为训练点,进行模糊证据权(FWofE)计算,并对计算结果利用Student′s t值确定异常下限,圈定断裂构造异常范围。地球化学数据具有深部指示作用,这种断裂构造信息提取方法为深部找矿的断裂构造信息提取提供了新思路。
Using GIS and multi-fractal singular value theory, this paper explores a method of extracting fault structure information from geochemical data. Based on 1∶200,000 stream sediment geochemical data in southeast Yunnan, seven elements of Au, As, Sb, Hg, W, Sn and Bi were selected to extract structural information according to the principle of structural geochemistry. Through factor analysis and factor rotation, the results show that the spatial distribution characteristics of the principal factor scores are closely related to those of magmatite and known faults. The weak information was enhanced by calculating the singularity index of fault-structure factor, which highlights its weak anomaly. The fuzzy evidence weight(FWofE) was used by using singularity index as the evidence layer and the dotted fault-structure data as the training points. The lower limit of anomaly was determined by using Student′s t value on the calculation results, so as to determine the range of fault-structure anomaly. Geochemical data can be helpful in deep indication. This method of fault structure information extraction provides a new idea for fault structure information extraction in deep prospecting.
作者
秦涛
陈建平
赵洁
Qin Tao;Chen Jianping;Zhao Jie(School of Earth Sciences and Resources,China University of Geosciences(Beijing),Beijing 100083,China;Beijing Key Laboratory of Development and Research for Land Resources Information,Beijing 100083,China)
出处
《地质学刊》
CAS
2020年第4期386-393,共8页
Journal of Geology
基金
科技部深地资源勘查开采专项“深部成矿地质异常定量预测方法与模型”(2017YFC0601502)。
