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张梦琳, 程莉蓉, 丁爱中, 孙 雪.污染场地渗透系数非均质性表征研究水资源与水工程学报[J].,2016,27(4):233-240
污染场地渗透系数非均质性表征研究
Heterogeneity characterization of hydraulic conductivity at contaminated site
  
DOI:10.11705/j.issn.1672-643X.2016.04.44
中文关键词:  渗透系数  非均质性  污染场地  溶质运移
英文关键词:hydraulic conductivity  heterogeneity  contaminated site  contaminant transport
基金项目:中央预算单位科研自主基金项目(310400085)
作者单位
张梦琳a,b, 程莉蓉a,b, 丁爱中a, 孙 雪a,b (北京师范大学 a.水科学研究院
b.地下水污染控制与修复教育部工程研究中心 北京 100875) 
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中文摘要:
      介绍了分区赋值、克里格和序贯高斯随机模拟3种表征渗透系数非均质性方法的原理,对比了不同方法对结果的影响。以某污染场地为例,综合考虑地层、数据采集方法和非均质性表征方法设计了5种方案,研究不同方案对地下水溶质运移模型的影响,探讨了不同表征方法的优缺点及差异性。研究结果表明:序贯高斯模拟法所得的空间分布结果,能反映出存在于局部区域边缘的渗透系数的突变,克服了另外两种方法的局限性。分层序贯高斯随机模拟法能够体现出较为连续的渗透带的分布范围及场地内部渗透性发生变化的位置,较其他几个方案的结果准确性较高。应用分层赋值法能够最大程度地表征污染羽的范围;应用分层随机模拟法能够较为全面地描述出污染羽分布的浓度变化差异。在进行污染场地溶质迁移模拟时,应综合考虑地层岩性、数据采集方法和非均质性的表征方法来描述渗透系数的空间分布。
英文摘要:
      The principle of three heterogeneity characterization methods for hydraulic conductivity, i.e., zoning, Kriging and stochastic modeling were introduced.The paper compared the influence of different methods on results. Taking a contaminated site as an example,the paper comprehensively considered geological formation, data acquiring method and heterogeneity characterization method to design five scenarios.It studied the effects of different scenarios on the groundwater solute transport model,and discussed the advantages and disadvantages of different characterization methods. The results showed that the spatial distribution by Sequential Gaussian Simulation (SGSIM) can reflect the abrupt changes along some boundaries which other methods cannot do. The characterization of hydraulic conductivity using SGSIM provides a better representation of continuous change of conductivity in space than that by the other method. The zoning method gives the largest simulated plume, while the spatial variation of plume is better characterized with SGSIM.The result indicated that stratification, data acquiring method and heterogeneity characterization method should all be taken into consideration to describe the space distribution of permeability coefficient.
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