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地球化学异常的有效识别是化探找矿成败的关键环节.利用样本排序方法对各种化探异常识别模型的处理效果和优劣性进行了比较.以云南个旧及其周边地区铜元素水系沉积物为例,应用元素含量、异常衬度、局部奇异性分析三大类方法对数据进行了处理,对化探异常指示变量的排序值进行了3个方面的对比:(1)在高背景区和低背景区样品的排序特征;(2)有矿出现位置处样品的样本排序特征;(3)累积面积(等效于上侧样本排序值)不同分组所圈定的异常范围和矿床(点)之间的空间相关性.结果表明,局部奇异性分析方法较按含量高低的全局性方法对弱缓异常识别更为有效,也相对优于滑动衬值.按奇异性指数基于证据权法圈定的异常远景区更具预测意义,显著优于用元素含量值所圈定的异常范围.局部奇异性方法原理清晰、方法简便、可操作性强,在地球化学异常识别中可以用其替代滑动衬值方法.
The effective identification of geochemical anomalies is the key to the success or failure of geochemical exploration.Using the sample ranking method to compare the advantages and disadvantages of various geochemical anomalous identification models.According to the deposition of copper elemental water in Gejiu, Yunnan Province and its surrounding area As an example, three kinds of methods were applied to deal with the data of elemental content, abnormal contrast and local singularity. The comparison of the ranking values of geochemical anomalous indicator variables was made in three aspects: (1) And low background samples; (2) the sample sequence features of the samples at the mine occurrence location; (3) the cumulative area (equivalent to the order of the upper sample) The results show that the local singularity analysis method is more effective than the weakly liner anomaly recognition in accordance with the global content method, which is also better than the sliding liner value. According to the singularity index, The abnormal foreground area is more predictive, which is significantly better than the anomalous area delineated by the content of elements. The method of local singularity is clear in principle, simple in method and strong in operability. In the identification of geochemical anomalies To use it instead of the sliding liner method.