摘要
重点介绍克里金插值方法的数学原理,对普通克里金、泛克里金及其各自所含不同的变异函数模型,应用a RCGi S中空间分析工具对鲁西煤矿工作面开采沉陷监测数据插值生成栅格模型。使用交叉验证法对各模型模拟精度加以检验,并比对误差,得出最适用于本次Co RS站监测数据的克里金模型并为同类矿山沉陷监测数据插值提供参考借鉴。
This paper firstly explains mining subsidence phenomenon, basic principle and the influene of it, and set forth the meaning of monitoring of mining subsidence as well as the methods used. it mainly introduces the mathematical principles of kriging interpolation method and generates raster data interpolation model by analyzing Luxi coal mine working face mining subsidence data for ordinary kriging, universal kriging and their respective different semivariogram models. Finally simulation accuracy of each model is tested by cross validation of homogeneous selected monitoring stations so as to get the most suitable kriging model of Co RS station monitoring data by error comparison. Research can provide a reference to subsequent Co RS station mining subsidence monitoring data interpolation.
出处
《山东煤炭科技》
2015年第4期154-156,159,共4页
Shandong Coal Science and Technology
基金
国家科技基金支撑计划子课题(2012Ba H27B04)
关键词
矿山沉陷分析
克里金插值
交叉验证法
mining subsidence analysis
kriging interpolation
cross validation
