基于不同地质统计方法的渗透系数场对污染物运移的影响 |
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引用本文: | 岳松梅,;杨蕴,;吴剑锋,;吴吉春. 基于不同地质统计方法的渗透系数场对污染物运移的影响[J]. 地下水, 2014, 0(4): 10-14 |
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作者姓名: | 岳松梅, 杨蕴, 吴剑锋, 吴吉春 |
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作者单位: | [1]表生地球化学教育部重点实验室,南京大学地球科学与工程学院,江苏南京210023; [2]河海大学地球科学与工程学院,江苏南京210098 |
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基金项目: | 国家重点基础研究发展计划项目(No.2010CB428803);国家自然科学基金项目(Nos.41372235和41030746) |
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摘 要: | 渗透系数场的空间变异性是影响污染物运移结果的决定因素,而地质统计方法是解决渗透系数空间变异性的主要技术手段。本文利用野外场地实测数据,采用普通克里格法和指示克里格法、顺序高斯模拟法和顺序指示模拟法四种地质统计方法,插值估测和模拟再现随机渗透系数场,进而对比研究四种渗透系数场对大尺度污染物运移的影响。研究结果表明,污染羽的质心位置(一阶矩)主要由渗透系数的平均值来决定;污染羽在空间上的展布范围(二阶矩)主要受渗透系数空间变异方差的影响;条件模拟克服了估计法的平滑效果,较好地再现真实曲线的波动性,渗透系数( lnK)估计方差与污染羽空间二阶矩随着条件模拟次数的增加而减小,并且顺序指示模拟程度更加明显。
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关 键 词: | 渗透系数 空间变异性 地质统计方法 污染物运移 迁移归宿 |
The Impact of Hydraulic Conductivity Distribution Mapped by Four Geostatistical Techniques on the Groundwater Contaminant Movement |
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Affiliation: | YUE Song-mei, YANG Yun, WU Jian-feng, WU Ji-chun ( 1. Key Laboratory of Surficial Geochemistry, Ministry of Education ; School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, Jiangsu; 2. School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, Jiangsu ) |
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Abstract: | The spatial variation of hydraulic conductivity distribution is the determining factor of groundwater contaminant transport and geostatistics is the main technique to slove the problem. Processing field data of an aquifer with four geostatistical techniques, including ordinary kriging method, indicator kriging method, sequential Gaussian simulation and sequence indica-tor simulation, hydraulic conductivity distribution of a pointed aquifer is mapped respectively to compare the influence of four simulation techniques on groundwater contaminant movement. Results indicate that the centroid of contaminant plume ( first movement) is positioned according to the average of hydraulic conductivity; the distribution range of contaminant plume ( sec-ond movement) is mainly affected by the variance of spatial variation of hydraulic conductivity. Condition simulation irons flaws raised by smoothing effect of estimation and reproduces the volatility of curve draw by real statistics. With repeated condi-tion simulations, estimated variance of lnK and the second movement of contaminant plum decrease and sequence indication simulation is more accurate. |
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Keywords: | Hydraulic conductivity spatial variation geostatistics contaminant movement movement destination |
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