| 多孔介质中污染物运移空间变异最优估计 |
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| 引用本文： | 赵娟,张征,谷石岩,徐永利.多孔介质中污染物运移空间变异最优估计[J].安全与环境工程,2007,14(4):5-9. |
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| 作者姓名： | 赵娟 张征 谷石岩 徐永利 |
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| 作者单位： | 北京林业大学资源与环境学院,北京,100083 |
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| 基金项目： | 教育部科学技术研究重点项目
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北京林业大学校科研和教改项目 |
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| 摘 要： | 论述了空间变异性分析的原理和方法,着重阐述不同估值方法在多孔介质污染物运移空间变异分析中的应用.实践表明,地质统计学方法能够弥补经典概率统计方法在评价区域化变量空间变异性方面的不足,从而对多孔介质中污染物运移的空间变异性做出更切合实际的分析与评价.
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| 关 键 词： | 多孔介质 空间最优估计 克立格 |
| 文章编号： | 1671-1556（2007）04-0005-05 |
| 收稿时间： | 2007-03-28 |
| 修稿时间： | 2007-05-24 |
Optimum Estimation of Spatial Variability for the Contamination Travel in Porous Media |
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| ZHAO Juan,ZHANG Zheng,GU Shi-yan,XU Yong-li.Optimum Estimation of Spatial Variability for the Contamination Travel in Porous Media[J].Safety and Environmental Engineering,2007,14(4):5-9. |
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| Authors: | ZHAO Juan ZHANG Zheng GU Shi-yan XU Yong-li |
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| Abstract: | In porous media all sorts of spatial distribution parameters have complex uncertainty. In this paper the principles and the approaches of spatial variability analysis are discussed, and the application of different methods to the estimation of the value in the spatial variability analysis of the contamination travel of the porous media is elaborated. Practices have proved that the deficiency of classical statistics in estimating the spatial variability analysis of regionalized variables can be remedied when geostatistics methods are used. So geostatistics methods can make practicable analyses and assessments in the spatial variability analysis of the contamination travel of the porous media. |
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| Keywords: | porous media spatial optimum estimation Kriging |
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