基于分形算法的粤北地区铀元素异常划分

Algorithm Based on Fractal for Separating off U Anomalies in Yuebei Region

地球化学背景及异常的圈定是勘查地球化学应用于矿产勘查的一个重要手段。人们已经论证了地壳中元素含量在空间分布上是分形的。因此,异于以样本数据呈正态分布为假设前提的经典统计学方法,以MapGIS为平台,利用其中的"空间分析"模块,对形成了区文件的等值线图,统计不同含量的属性值,得到一个含量与面积的数据文件,运用分形理论中的含量—面积关系算法,确定地球化学元素的异常下限,进而圈定出铀矿异常区域。与传统方法相比较,其预测效果更佳。

The determination of geochemistry background and unusual has been an important method for investigation geochemistry to apply to investigate in the minerals.The spatial fractal distribution of the earth＇s crust element content has been proved.So,in this paper,different from the classical statistics method whose supposition premise is the normal distribution of the sample data,the authors take MAPGIS as the platform,use the ＂spatial analysis module which statistics the attributing value of the different content from the area isogram＇s map and gets a content-area relations data file of the area ,and utilize the content-area relation algorithm in the fractal theory to determine the unusual lower limit of the geochemistry element,then,select the unusual regions of the U mine.Compares with the traditional method,its forecast effect is better.