奇异性分析在赤峰地区地球化学异常识别中的应用

Application of singularity analysis to geochemical anomaly recognization in Chifeng area

统计学方法在地球化学异常识别中起着重要作用。传统统计学方法需要以元素分析数据的分布状态为前提,且忽视了样本的自相关结构,而奇异性分析不仅能够度量地球化学场的空间统计特征,而且可以刻画局部异常的奇异性规律。对比两种方法在赤峰地区地球化学异常识别的效果表明,奇异性分析确定的地球化学异常与已知矿床和矿点分布吻合情况较好,且能够突出弱异常地段,圈定出更准确的找矿靶区。

Statistical methods play an important role in geochemical anomaly recognization, and traditional statistical methods need to be premised on the distribution of elements data, and the autoeorrelation structure of the sample is ignored, but singularity analysis can not only measure the space statistics characteristics of geochemical field but also describe singularity law of partial anomaly. The application result of this two methods in geochemical anomaly recognization in Chifeng suggests that geochemical anomalies recognized by singularity analysis are identical with the distribution of known mineral deposits ,and singularity analysis can strengthen the weak anomalies zone and then delineate the exact prediction of prospecting targets.