水环境模拟中多孔介质非均质性空间变异最优估计模型  

The Best Model of Spatial Optimal Estimation for Spatial Variability of Porous Media's Heterogeneity in Water Environmental Simulation

作　　者：徐永利[1] 张征[1] 谷石岩[1] 赵娟[1] 

机构地区：[1]北京林业大学资源与环境学院,北京100083

出　　处：《环境科学与管理》2007年第8期22-25,共4页Environmental Science and Management

基　　金：教育部科学技术研究重点项目(03028);北京林业大学振兴计划人才培养专项课题(200202013)

摘　　要：在生产实践中,经常要求对含水介质渗透性参数的空间分布数值作出可靠的估计。如何利用已知数据对指定点处的渗透性参数作出令人满意的估计,历来是水文地质工作者和应用数学工作者都关心的问题。文章应用能够刻画区域化变量随机性与结构性特征的地质统计学的理论和方法对能够反映多孔介质非均质特性的参数进行了分析,通过分析结果得出了参数空间变异性局部最优估计模型——普通克里格法。We were often asked to give credible estimation of permeability parameters on the spatial distribution data of water -bearing media in daily practice. How to get satisfactic estimation on appointed permeability parameters through known data was a problem, which had called the attention of hydrogeologists and workers of applied mathematics. In this paper, the geostatistics theories and methods of depicting regionalized variables, which have both stochastic and structural characters were used to analyse the parameters that can reflect the porous media. From the result, we could get the best model of spatial optimal estimation for parameter＇s Spatial Variability——ordinary Kringing.

关 键 词：多孔介质 地质统计学 普通克里格 最优估计 

分 类 号：X196[环境科学与工程—环境科学]