基于元素组合特征的相似性系数法圈定异常--以南岭地区为例

Delineating Anomalies Using Similarity Coefficients Based on Element Assemblage Characteristics: An Example of the Nanling Area

强调了统计域的正确选择对区域地球化学数据分析的重要性。本文以南岭研究区的W元素原始异常作为统计域,分析得出了研究区内不同成矿类型钨矿一种量化的简单元素组合特征。以此量化的元素组合特征,并结合相似度分析方法,统计了研究区内样点与各典型钨矿元素组合特征的相似性系数,其成图结果非常准确地圈定了已知的各类型钨矿,相比W元素原始异常其准确率得到了明显提升。该方法亦可认为是对地球化学场的一种成因分解,能够准确提取其中与成矿有关的异常信息。该研究可作为区域异常结构模式研究的重要补充,也可以为扩大南岭地区钨矿找矿远景提供线索。

This paper emphasized the importance of correct selection for a suitable statistics region in analysis of regional geochemical data. A kind of simple and quantized element assemblage characteristics of the various genetic types' tungsten ores in the Nanling area is obtained taking the original W-anomaly as the statistics region in data analysis. In terms of these characteristics,combining with similarity analysis,a statistical analysis is made to the tungsten ores for their element assemblage. The known typical tungsten ores can be more precisely defined according to the correlation coefficients than the original W-anomaly. This method can be regarded as a genetic decomposition of the geochemical field.,which permits extracting accurate information relevant to mineralization from the field. This study is a significant complement to the regional anomaly structure model,and provides clues for expanding the prospect of tungsten ore in the Nanling area.