摘要
为准确模拟黄河流域某矿区地层分布形态,选取80个地质云钻孔数据利用ArcMap分析数据特征,运用克里金方法插值过程中考虑变异函数模型和搜索步长数的影响,通过交叉验证确定最优插值方式,并通过三维可视化对结果进行展示。结果表明:采用普通克里格插值方法,参数选择高斯模型、步长数9插值精度最高。多模型参数比较的结果可应用于类似矿区地层分布的研究。
In order to accurately simulate the stratigraphic distribution of a mining area in the Yellow River Basin,80 geological cloud drilling data are selected to analyze the data characteristics by using ArcMap,and the influence of variogram model and search step number is considered in the interpolation process by using Kriging method.The optimal interpolation method is determined by cross validation,and the results are displayed by 3D visualization.The results show that with the ordinary Kriging interpolation method,the Gauss model and the number of steps 9 have the highest accuracy.The results of multi model parameters comparison can be applied to the study of strata distribution in similar mining areas.
作者
张灏
王娇
郑新奇
Zhang Hao;Wang Jiao;Zheng Xinqi(School of Information Engineering,China University of Geosciences,Beijing,100083,China;Institute of Geographical Sciences and resources,Chinese Academy of Sciences,State Key Laboratory of resource and environment information system,Beijing,100101,China)
出处
《矿山测量》
2020年第3期12-16,共5页
Mine Surveying
基金
资源与环境信息系统国家重点实验室开放基金资助。
关键词
克里金插值
地质云钻孔数据
交叉验证
最优空间插值
Kriging interpolation
Geological cloud drilling data
Cross validation
Optimal spatial interpolation
