土壤修复准则的蒙特卡罗渗流带模型

Y. Rong, Rueen-Fang Wang
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引用次数: 8

摘要

许多渗透带模型可用于环境修复,但很少提供用现场数据验证模型预测和处理与模型输入参数相关的不确定性的程序。本文提出了一个将一维渗流带输运模型和简单地下水混合模型结合蒙特卡罗模拟(MCS)函数的修正模型。将修正后的模型应用于测定土壤中甲基叔丁基醚(MTBE)的修复浓度。修正后的模型生成了符合点的MTBE地下水浓度分布。这种分布可以用来估计在给定土壤补救浓度下超过地下水质量标准的风险。在一个案例研究中,MTBE的土壤修复浓度为5µg/kg,地下水浓度不超过13µg/L的概率为95%和10µg/kg,概率为50%。此外,本研究使用MCS来研究模型输入参数水力导率(K)的不确定性。一组数据(K1)基于水力导率实验室测试的结果,另一组数据(K2)基于现场进行的段塞测试的结果。正如预期的那样,实验室数据显示的K值比现场数据小。对比两组K数据的MCS结果表明,在MCS分布的相同百分位数下,基于K1计算的MTBE地下水浓度一般比基于K2计算的高160 ~ 625%。然后根据95%浓度的K2和50%浓度的19 μ g/kg的MCS结果计算出较高的土壤修复浓度9jig/kg。
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Monte Carlo Vadose Zone Model for Soil Remedial Criteria
Many vadose zone models are available for environmental remediation, but few offer the procedures for verifying model predictions with field data and for dealing with uncertainties associated with model input parameters. This article presents a modified model combining a one-dimensional vadose-zone transport model and a simple groundwater mixing model with a function of Monte Carlo simulation (MCS). The modified model is applied to determine soil remedial concentrations for methyl tertiary butyl ether (MTBE). The modified model generates a distribution of MTBE ground-water concentrations at the point of compliance. This distribution can be used to estimate the risk of exceeding groundwater quality standard given soil remedial concentrations. In a case study, soil remedial concentration for MTBE is established to be 5 µg/kg, with a 95% and 10 µg/kg with a 50% probability that groundwater concentration will not exceed the water quality objective of 13 µg/L. Furthermore, this study uses MCS to investigate uncertainties of model input parameter hydraulic conductivity (K). One set of data (K1) is based on the results of hydraulic conductivity laboratory tests, and the other (K2) is based on the results of slug tests conducted in the field. As expected, the laboratory data show smaller K values than the field data. The comparison of the MCS results obtained from the two sets of K data indicates that the MTBE groundwater concentrations calculated based on K1 are generally 160 to 625% greater than those calculated based on K2 at the same percentiles of the MCS distribution. A higher soil remedial concentration of9jig/kg is then calculated based on the MCS results from K2 at 95%ile and 19 µg/kg at 50%ile.
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