南岭地区中-酸性花岗岩成矿专属性信息模型研究——以热液型铀矿、钨锡矿为例

Research on Information Model for Metallogenic Specialization of the Intermediate-acid Magmatic Rocks in Nanling Region:A Case of Hydrothermal Uranium Deposit and Hydrothermal Tungsten and Tin Deposit

以南岭岩体分析数据,根据花岗岩热液成矿原理,初步提出成矿专属性因子团指标体系,利用遥感信息模型原理,建立产铀、产钨锡成矿专属性信息模型。在建立成矿专属性信息模型过程中,根据花岗岩热液成矿过程中岩石元素的地球化学行为和在岩浆演化中的行为,将成矿专属性影响因子大致分为不同功能因子团,然后利用各种统计分析模型,初步分析了一些因子团之间的空间及内在关系,据此对因子团进行了组合筛选,使其更符合地质成矿机理和地球化学原理。在以上基础上,建立了成矿专属性判别标准,对待判岩体进行了预测,结果与实际地质情况基本相吻合,同时也提出了模型在地质成矿研究中的实际作用,这些都表明所建立的成矿专属性信息模型具客观性和操作性,实现了对成矿专属性的定量化评价,为进一步判别成矿岩体提供了科学依据。

Based on geochemistry analysis data of Nanling granite massifs,according to the granite hydrothermal mineralization principle,the article initially proposes the metallogenic specialization factor group target system using GIS geo-information model,establishes metallogenic specialization information model of the uranium and the tungsten mineral intrusions.According to mineralization granite rock element geochemical behavior and magmatic evolution,the paper suggests the measure that metallogenic specialization influence factor will divided into the acidity factor group,the alkalinity factor group,magmatic fractionation factor group,oxidation reduction factor group,rare-earth element factor group,source area factor group,geostructure environment factor group and so on.The paper selects the best factor group meeting the mechanism of mineralization geological and geochemical principles by using kind of statistical analysis model analyses the space and intrinsic relations of some factor. On the basis of the above aspects,it forecasts undistinguished granite massifs by using the model and the criterion.The result accords with geological fact,indicates that metallogenic specialization information model has objectivity and operability,realizes metallogenic specialization quantitative appraisal,and provides a scientific basis further distinguished the ore-bearing granite massifs.