基于模糊逻辑法的冀西北地区铅锌银多金属矿定位预测
Position prediction of lead-zinc-silver polymetallic deposits in northwest Hebei based on the fuzzy logic method
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摘要: 提要：模糊逻辑空间决策模型在变量取值上不是采用二态法将研究区分为成矿有利区和成矿不利区两部分，而是根据地质数据的规律取连续变化的隶属度赋值，有效避免了有用地质信息的丢失。笔者在GIS平台上利用Arc-SDM模块对冀西北地区的地质、地球化学、地球物理等资料进行了处理，利用证据权法进行了线缓冲形成的证据层与矿床（点）之间的亲近度分析，在此基础上采用列表法对原始地质变量进行了直观模糊隶属度赋值。模糊逻辑的预测结果表明，在圈出的仅占研究区面积13.2%的靶区范围内有85%的已知矿床（点）出现，与已知矿床（点）吻合程度高，预测效果理想，其结果可用于指导下一步找矿工作。Abstract: Abstract：The fussy logic space decision model does not use binary maps to divide the study area into the area advantageous to mineralization and the area disadvantageous to mineralization but uses continuously changing fuzzy membership values based on the regularity of geological data, thus avoiding the loss of useful geological information effectively. In this paper the geological, geochemical and geophysical data are analyzed and processed using the Arc-SDM extension based on the GIS platform and the close relationship between ore deposition and evidence themes is analyzed using the method of weights of evidence. On that basis, different fuzzy membership values are given to original geological variables using the tabulation method. The results of fuzzy logic prediction show that 85% of the known mineral deposits (occurrences) appear within the target limits that only make up 13.2% of the study area, which are highly coincident with the known mineral deposits (occurrences). The prediction results are ideal and may be used to guide further mineral prospecting.
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