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本文运用特征分析的方法,以106个钨矿床的实际资料为基础系统地研究了南岭钨矿的成矿地质条件和找矿标志,提出了对钨矿有决定意义的42个地质特征的数字序列。采用对应分析研究大、中、小型钨矿床的统计规律。然后探讨了花岗岩成分对钨矿床规模的影响,指出斜长石(酸性)牌号的增高和相对铁镁质暗色矿物含量的增加,有利于钨矿矿化规模的改善。最后,应用花岗岩成份的11个定量变量和42个地质特征的定性变量(0,1)建立钨矿矿床规模的事件概率回归估计混合模型。 该模型适用于南岭地区范围内的任一个规模不明的钨矿点,只要取得某些必要的地质信息,便可对其矿床规模作出初步评价。
Based on the actual data of 106 tungsten deposits, this paper systematically studied the ore-forming geological conditions and prospecting signs of Nanling tungsten deposit by using the method of characteristic analysis, and put forward the number of 42 geological features that are of significance to the tungsten ore deposit sequence. Correspondence analysis is used to study the statistical laws of large, medium and small tungsten deposits. Then the effect of granite composition on the size of tungsten deposit is discussed. It is pointed out that the increase of plagioclase (acidity) grade and the increase of relative dark magnesian dark mineral content are beneficial to the improvement of mineralization scale of tungsten ore. Finally, the eleven quantitative variables of granitic components and the qualitative variables (0, 1) of 42 geological features were used to establish event probability regression mixed model of tungsten ore deposit scale. The model is applicable to any unknown tungsten ore deposit in the Nanling area. Once some necessary geological information is obtained, a preliminary assessment of its deposit size can be made.