基于遥感信息模型的花岗岩成矿专属性研究——以南岭地区热液型铀、钨矿为例  

Granite metallogenic specialization study based on RS information model—A case of hydrothermal uranium and tungsten deposits in Nanling region

作　　者：黄宏业 秦其明[2] 

机构地区：[1]核工业230研究所,湖南长沙410011 [2]北京大学,北京100871

出　　处：《世界核地质科学》2009年第4期228-236,共9页World Nuclear Geoscience

摘　　要：根据花岗岩热液成矿原理,利用遥感信息模型,初步提出花岗岩成矿专属性因子团指标体系,建立了南岭地区产铀、钨花岗岩成矿专属性信息模型。在以上基础上,对产铀、钨花岗岩成矿专属性信息模型地理指数和地理系数进行了分析,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,同时在地质成矿研究中得到实际应用。这些都表明文中所建立的成矿专属性信息模型具客观性和可操作性,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。According to the granite hydrothermal metallogenic principle, metallogenic specialization information model for uranium producing and tungsten producing granites in NaMing region is built up and the group factor system of granite metallogenie specialization is initially proposed by using RS information model. On the basis of the above aspects, the geographical index and coefficients of information model of granite metallogenie specialization are respectively analyzed, metallogenic specialization discrimination criterion is built up. After the non-discriminatory massif is forecasted, the results are basically accordant with geological fact, at the same time they are used in the geological metallogenic research, which indicates that metallogenic specialization information model is objective and operative, realizes quantitative appraisal on metallogenic specialization and provides a scientific basis for further discriminating the ore-forming massif.

关 键 词：成矿专属性 遥感信息模型 地理指数 铀 钨矿 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] P611[自动化与计算机技术—控制科学与工程]