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《Journal of Safety and Environment》 2004-03
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Several methods for research of spatial variability of porous media field in water environmental simulation

XIAO Chao-ming~1,ZHANG Zheng~1,JU Shuo-hua~2, YANG Yu-chuan~1,WANG Wei~1,LU Jia-juan~1,CHEN Yuan-yuan~1 (1 Resource And Environment College of Beijing Forestry University, Beijing 100083, China; 2 Harbin Architecture University, Harbin 150006, China)  
This paper has been devoted to an analysis of the theories of classical statistics and geostatistics to find, the spatial variability of the characteristics of porous media and contaminants transfer in them, which proves highly useful in many areas, such as in groundwater contaminants control, exploitation of soil resources, and the improvement of wastewater irrigation technology. However, traditional statistical methods ignore the spatial correlation of parameters and take it as a pure random variable. They even could not give a proper analysis of the spatial variability. Of course, it is undeniable that a lot of classical statistical methods, for instance, the method of multivariate statistical analysis, can still be successfully applied in this field. In the research practice, when geostatistics takes the randomicity and spatial correlation of the objects into account, it is possible to overcome the main limitations of classical statistics, which makes it possible to be commonly used till today. Since the fractal statistics takes as its research objects the irregularity and self-similarity, though brought about later than the other two, it has quickly become fashionable for its conformity with the complexity and chaos of nature, and has even turned to be the unique method for the system research. Therefore, the present paper has introduced the ways on how to use the geostatistics and fractal statistics in spatial variability. Lastly of all,based on the knowledge mentioned above, the perspective of the research of spatial variability of porous media has also been discussed.
【Fund】: 教育部科学技术研究重点项目 ( 0 3 0 2 8);; 北京林业大学振兴计划人才培养专向课题 ( 2 0 0 2 0 2 0 13 )
【CateGory Index】: X523
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