筛选-趋势分析法分离区域异常与局部异常

根据异常特征,借助Mapgis软件,筛选实测数据中受局部异常影响较小的测点,用一个n阶多项式所表示的曲线或曲面去逼近这部分测点所在的区域异常,用该多项式系数计算整个测区各测点的多项式值,并以它为测点的区域异常,进而求得局部异常。

THE APPLICATION OF THE SIEVING-TREND ANALYSIS METHOD TO SEPARATING REGIONAL ANOMALY FROM LOCAL ANOMALY

According to anomaly characteristics and with the help of Mapgis software, the measuring points affected relatively insignificantly by the local anomaly in measured data were chosen through sieving, and the curve or curved surface represented by a n-order polynomial expression was used to approximate the regional anomaly contained in these measuring points. The coefficient of this polynomial expression was used to calculate the polynomial value of every measuring point in the whole surveyed area, and the value was used as the regional anomaly of the measuring point. On such a basis, the local anomaly can also be obtained.