稳健估计方法在内蒙古新忽热地区水系沉积物测量异常评价中的应用

Application of robust estimation methods to anomaly appraisal of stream sediment survey in Xinhure area,Inner Mongolia

文章选择华北地台北缘新忽热地区1∶5万水系沉积物金元素地球化学测量结果为实验数据,通过多种稳健估计方法,采用Visual C语言和SPSS统计分析程序,对位置及尺度进行稳健估计,并与传统的估计方法进行对比。研究表明,对于偏态分布的观测数据,根据稳健估计方法圈定的异常较传统方法更能准确地反映异常的规模和形态,尤其能较好地显示大面积的弱异常。笔者认为,在地球化学测量异常评价中,应重视使用稳健估计方法,并指出了该区下一步勘查找矿的方向。

With several robust estimation methods based on Visual C and SPSS, the authors made a robust estimation of the location and scale of the Au element data from the 1 ： 50 000 stream sediment survey in Xinhure area on the northem margin of the North China craton, and compared the results with those of the conventional approaches. It is shown that, for the skew distributional data, the robust estimation methods can better reflect the size and shape of the anomaly, especially the large-size weak anomaly, than the conventional approaches. It is held that the robust estimation methods should be taken into full consideration in the anomaly appraisal of geochemical survey. The ore-prospecting targets in this area are also pointed out in this paper.