基于勘查地球化学数据分析的大型矿集区预测模型讨论

Prediction model of large ore deposit clusters based on an exploration-geochemical data analysis——A discussion

笔者从勘查地球化学角度,利用研究区元素丰度、变异系数和混乱度对体系进行了元素分布分配时空规律的研究。在此基础上笔者对大型矿集区的识别与预测进行了初步探讨,建立了预测模型。并提出利用元素丰度、变异系数、混乱度来评价大型矿集区时应注意表生地球化学作用,同时指出该模型适用于“元素富集体与其赋存地质体存在内在关系”这一重要条件。总结出新疆石炭系火山碎屑岩应为金的找矿重点。

The element temporal-spatial distribution characteristics of systems are studied in the explorationgeochemical context by using element abundances, variation coefficients, and degrees of element disorder. On the basis of that study, the recognition and prediction of large ore deposit clusters are discussed and a prediction model is constructed. The authors suggest that attention should be paid to surficial geochemical processes when the element abundances, variation coefficients, and degrees of element disorder are used to evaluate a large ore deposit duster and point out that this model is suitable to the important condition that there exists an internal relation between an element duster and the geologic body in which the element duster is hosted. It is concluded that the Carboniferous pyroclastic rocks should be the target for gold search in Xinjiang.