摘要
化探异常的提取是化探工作的关键,而数据处理方法又直接决定异常的分布与范围。本文重点分析对比研究了近年来使用的几种处理方法,包括传统统计法、归一化法、异常衬值法、趋势面分析法,发现归一化法和异常衬值法有利于削弱非矿化作用引起的高异常,突出低背景区的弱异常;趋势面分析法易于剔除弱小假异常,缩小强异常的面积,对找矿更有针对性。
The extraction of geochemical anomalies is the key of the geochemical exploration work, the distribution and scope of geochemical anomalies are determined directly by data processing method. We analyzed several kinds of treatment methods, drew the following conclusions： the normalization method and abnormal contrast method is helpful to eliminate high anomalies but not cause of mineralization in the large area of high background, and prominent lower anomalies in the low background area. Trend surface analysis method is easy to weed out weaker false anomaly and narrow the area of abnormality, so the method is more targeted for prospecting.
出处
《世界有色金属》
2017年第7期283-283,286,共2页
World Nonferrous Metals
关键词
化探
数据处理
归一法
异常衬值法
趋势面分析法
chemical exploration
data pricessing
normalization of geochemical data
Abnormal contrast method
trendsurface method
