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全国区域化探扫面铺开以后,必将获得大量的数据信息。如何快速而准确地评价异常,已成为一个急待解决的问题。我们在整理1/20万郴县幅区域化探扫面资料时,首先是用聚类、对应等多元统计分析方法,对异常进行统计分类,初步作出各类群异常的定性评价,尔后分门别类地对单个异常进行多变量的统计得分计算,求出各类单个异常的总分数,最后以总分数的多寡排定异常的优劣序次,并选出优序次的异常检查验证。通过对少量异常的实地查证工作,表明在优序次的异常中见矿效果较好,从而认为这一方法在区域化探异常评价中是可用的。现以该图幅26个元素(化合物)定量分析为例,将其作法及结果介绍如下。
After the spreading of the national regional geochemical exploration area, it will surely obtain a large amount of data and information. How to quickly and accurately evaluate abnormalities has become an urgent problem to be solved. When sorting out geochemical data of the 1 / 200,000th Chenxian area, we conducted statistical classification of the anomalies by cluster analysis and corresponding multiple statistical analysis methods, and initially made qualitative assessments of the anomalies of various groups. The multivariate statistical scores of individual anomalies were calculated, and the total scores of various types of anomalies were calculated. Finally, the order of the anomalies was ranked according to the total score, and the anomalous inspection of superior orders was selected. Through a small number of anomalous field verification work, it is shown that the ore-bearing effect is better in the superior-order anomalies, so this method is considered as available in the regional geochemical anomaly evaluation. The map is now 26 elements (compounds) quantitative analysis, for example, the practice and results are as follows.