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Sensitivity analysis of a soil leachability model for petroleum fate and transport in the vadose zone

机译:渗流带石油运移土壤可浸模型的敏感性分析。

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Risk-based assessment methods are commonly used at petroleum-contaminated sites. In South Carolina, the Soil leachability Model (SLM) is used to calculate site-specific target levels (SSTLs) for soils that may leach contaminants to groundwater. The SLM is a series of analytical equations that is based upon the Green and Ampt equation to predict infiltration rates and accounts for equilibrium partitioning and first-order biodegradation of the contaminant as it travels to groundwater. To reduce costs, many soil property inputs to the model are estimated using regression equations that relate textural classification to these physical properties. It was not known what effect errors in these inputs might have on the SSTLs computed with the SLM. Thus, a sensitivity analysis was performed to determine the influence of parameter variability on benzene and naphthalene SSTLs computed for three soil types and two groundwater depths. The results of this study indicate that SSTLs computed with the SLM are very sensitive to organic carbon content and biodegradation half-lives for sand, loam, and clay, saturated hydraulic conductivity for loam and clay and most soil input parameters for clay. Overestimation of organic carbon content or underestimation of biodegradation half-lives in sand, loam or clay, or underestimation of the saturated hydraulic conductivity in loam or clay can result in SSTLs that are orders of magnitude too large, and therefore, potentially unconservative.
机译:基于风险的评估方法通常在石油污染场所使用。在南卡罗来纳州,土壤可浸性模型(SLM)用于计算可能将污染物浸入地下水的土壤的特定地点目标水平(SSTL)。 SLM是一系列基于Green和Ampt方程的分析方程,用于预测入渗率,并解释污染物在进入地下水时的平衡分配和一级生物降解。为了降低成本,使用回归方程将模型的许多土壤属性输入进行估算,这些回归方程将纹理分类与这些物理属性相关联。尚不清楚这些输入中的哪些错误会对使用SLM计算的SSTL产生影响。因此,进行了敏感性分析,以确定参数变异性对针对三种土壤类型和两种地下水深度计算的苯和萘SSTL的影响。这项研究的结果表明,用SLM计算的SSTL对砂,壤土和黏土的有机碳含量和生物降解半衰期,黏土和黏土的饱和水力传导率以及黏土的大多数土壤输入参数非常敏感。沙,壤土或粘土中有机碳含量的高估或生物降解半衰期的低估,或壤土或粘土中饱和的水力传导率的低估都可能导致SSTL的数量级过大,因此可能不保守。

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