基于Kriging与IDW融合算法的氧化带DTM拟合方法  

Oxidation Belt DTM Fitting Method Based on Kriging and IDW Nesting Algorithm

作　　者：李迪[1] 胡乃联[1] 李国清[1] 杨桦[1] 

机构地区：[1]金属矿山高效开采与安全教育部重点实验室

出　　处：《金属矿山》2013年第10期93-96,100,共5页Metal Mine

基　　金：国家自然科学基金项目(编号:51104010);教育部基本科研业务费项目(编号:FRF-SD-12-001A);国家高技术研究发展计划(863计划)项目(编号:2012AA062201)

摘　　要：氧化矿带取样数据属于广域离散型数据,而传统插值方法对于离散型数据不能很好地拟合,误差较大。为此,基于Kriging法的区域化变量及距离幂次反比法(IDW),提出了将二者融合的新算法,并以国内某大型露天钼矿为例进行研究,得出该算法简单易行,且能大幅提高氧化带数字地面模型(DTM)拟合精度的结论。Sampling data of oxidation belt is wide and discrete, and the traditional interpolation methods are not fitting well with the discrete data. This resourch, based on the regionalized variable and variation function of Kriging along with In- verse Distance Weighted （IDW） ,put forward a new algorithm nesting the two methods. Based on investigation in a large mo- lybdenum deposit at domestic, the conclusion is that this algorithm is simple and can greatly improve the fitting accuracy of the digital terrain model （DTM） of oxidation belt.

关 键 词：氧化带Kriging IDW DTM拟合 

分 类 号：P618.51[天文地球—矿床学]