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Grand Calumet River Remediation: Monte Carlo Analysis of Projected Post-Capping Pore Water Concentrations

机译:大卡卢梅特河治理:预计封顶后孔隙水浓度的蒙特卡洛分析

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Reaches 1 and 2 of the West Branch of the Grand Calumet River were remediatedby removal of 2.5 feet of contaminated sediment and capping with sand/organoclay active cap covered with gravel. To support development of a monitoring plan,a one-sided, bootstrapping Monte Carlo procedure was used to assess the likely range ofcap performance. The USACE RECOVERY model was used to predict transport ofPAHs through the cap for a total of 200 randomly selected parameter combinations. Resultsfor pore water concentration evaluated for the first 5 years after capping werestrongly a function of the contaminant partitioning. Preliminary evaluation of the concentrationsafter 5 years at 1 cm and 5 cm below the bioturbation layer suggests thatvariability within the results is largely controlled by the active layer thickness (consideringinterfacial mixing and mass of amendment), and to some extent by enhanceddiffusion/groundwater advection and deposition characteristics. Analysis of core samplesfrom the capped site allowed refinement of the input parameters for a second modelingeffort. Results show that phenanthrene should be a suitable tracer compound to monitorcap performance in the first five years.
机译:大卡卢梅特河西部支流的河段1和2已被修复 通过去除2.5英尺的受污染沉积物并用沙子/ 有机粘土活性覆盖物覆盖有砾石。为了支持制定监控计划, 单侧自举蒙特卡洛程序用于评估可能的范围 上限表现。 USACE RECOVERY模型用于预测 通过上限的PAH,共有200个随机选择的参数组合。结果 封盖后前5年中评估的孔隙水浓度分别为 强烈地取决于污染物的分配。浓度的初步评估 在生物扰动层下方1 cm和5 cm下5年后,表明 结果中的可变性很大程度上受有源层厚度的影响(考虑到 界面混合和修正质量),并在一定程度上通过增强 扩散/地下水对流和沉积特征。核心样本分析 从封顶的站点开始,可以优化输入参数以进行第二次建模 努力。结果表明,菲应该是一种合适的示踪化合物,以监测 前五年的最高绩效。

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