矽卡岩分布的空间插值比较——以兴海县赛什塘矿区为例

Spatial interpolation comparison of skarn distribution:A case study of Saishitang mining area in Xinghai County

为了解兴海县塞什塘矿区矽卡岩的空间分布特征及规律,根据地质钻孔数据,利用ArcGIS、Geo Da软件的空间分析功能,结合地统计学方法,探索矽卡岩深度数据的分布趋势,并利用LISA聚类方法进行自相关分析.同时,基于空间插值的基本原理,比较四种克里金插值方法,结合插值结果分析适用条件和优缺点.研究结果表明,矽卡岩深度的空间分布经对数变换后基本符合正态分布且空间自相关性较强;钻孔点空间上呈现轻微的二阶趋势,二阶趋势的插值方法总体上比一阶插值方法更理想;指示克里金插值方法的球面模型是最佳插值模型.研究结果可以为地质勘探人员及管理部门准确获取地下矽卡岩空间及深度的分布提供启示.

In order to understand the spatial distribution characteristics and regularity of the skarn in Saishitang mining area of Xinghai County,we explored the distribution trend of the skarn depth data according to the geological borehole data,using the spatial analysis function of ArcGIS and Geo Da softwares and combing with the geostatistics method,and did an autocorrelation analysis with LISA cluster method.At the same time,based on the basic principle of spatial interpolation,we compared four kriging interpolation methods,and analyzed trial conditions,advantages and disadvantages with the interpolation results.The results show that the spatial distribution of the skarn depth is basically normal distribution after the logarithmic transformation and the spatial autocorrelation is stronger.And there is a slight second-order trend in the borehole point space,on the whole,the second-order trend interpolation method is better than the first-order interpolation method,which indicates that the spherical model of kriging interpolation method is the best interpolation model.The research results can provide the inspiration for the geological exploration personnel and management department to accurately obtain the spatial and depth distribution of underground skarn.