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随着航磁资料质量的不断完善,以及所要解决的地质问题的难度越来越大,基于位场理论和数字滤波技术的各种处理方法,已逐渐成为分析航磁资料的必不可少的手段。但是,另一类内容极其丰富的数字处理方法——数理统计,至今尚未引起有关人员的足够重视,以至多少年来一直存在着的判断场源性质的问题,未获解决。 本文通过对宁芜火山岩盆地的航磁资料(比例尺为1/2.5万)采用数理统计方法所作的分析试验,给出了不同采样方式、多个统计特征量、几种分类方法(例如:群分析、逐步判别分析)所获得结果。可以认为,数理统计方法能起到对航磁异常进行分类、筛选的作用,有可能较迅速地直接从大面积的航磁测区中指出成矿有望地段。 本文最后指出,数理统计方法必将成为解决金属物探的前沿课题之一——成矿预测的一条重要途径。
With the continuous improvement of the quality of aeromagnetic data and the difficulty of the geological problems to be solved, various treatment methods based on the field theory and digital filtering technology have gradually become indispensable tools for the analysis of aeromagnetic data . However, the other extremely sophisticated digital processing method, mathematical statistics, has so far failed to attract sufficient attention from the personnel concerned, and the question of the nature of the source field that has existed for so many years has not been solved. In this paper, we analyze the aeromagnetic data (scale 1/25000) of Ningwu volcanic basin by using the mathematical statistics method, and give some examples of different sampling methods, statistical features and several classification methods (such as group analysis , Step by step analysis) the results obtained. It can be considered that mathematical statistics can play an important role in the classification and screening of aeromagnetic anomalies and it is possible to point out the prospective sections of ore-forming directly from the large aeromagnetic survey area more rapidly. At the end of this article, we point out that the mathematical statistics method will surely become one of the most important topics in metallogenetic prediction.