KNN改进算法在圈定地球化学元素异常区域上的应用

Application of improved KNN algorithm in delineated abnormally geochemical element region

以青海省大柴旦镇塔塔棱河中下游一带为研究区域,通过开展对1∶10 000土壤地球化学测量,采用KNN分类算法求取Au、Cu、Zn、Pb、As、Sb 6种元素的异常下限值,并作出异常图。通过后期工程验证,可以看出圈定的异常图对后期找矿具有明显的指示意义,说明运用KNN分类算法求取异常下限和确定异常区域是可行的。

In this paper, Tata edge river downstream area of Dachaidan town in Qinghai province was selected as the study area, the lower limit values of six kinds of elements including Au, Cu,Zn,Pb,As,Sb were obtainedthrough the measurement of 1 ： 10 000 soil geochemistry and utilizing KNN classification algorithm, and an abnormal map was made. Through the late project verification, it can be seen that in later the delineation of the abnormal map has significant meaning for ore prospecting. Thus it can be explained that the use of KNN classification algorithm is feasible to find the lower bound and determining the abnormal area