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首页> 外文期刊>Journal of Soil Contamination >A methodology for establishing cleanup objectives in the unsaturated soil zone using sensitivity and uncertainty analysis for chemical fate and transport
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A methodology for establishing cleanup objectives in the unsaturated soil zone using sensitivity and uncertainty analysis for chemical fate and transport

机译:利用敏感性和不确定性分析确定化学物质运移的非饱和土壤带建立净化目标的方法

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摘要

To support the Corrective-Measures and Cleanup-Alternatives Studies (CMS) prepared by Science Applications International Corporation (SAIC) at the Portsmouth Gaseous Diffusion Plant (PORTS) in Portsmouth, Ohio, USA, a soil-leaching numerical analysis was conducted to help establish cleanup objectives for deep-soil contamination. For~60 pollutants that exist at the PORTS site, the study defined those deep-soil concentrations that would most likely not cause groundwater contamination in excess of USEnvironmental Protection Agency (USEPA) guidelines. These values were then used as the technical basis for defining soil-cleanup goals. Numerical modelling of environmental systems provided project managers with unique information that was not availablefrom other sources. With its ability to quantify the important aspects of problem physics, modelling allowed rapid accumulation of the physical insight needed to solve a problem in a systematic and focused manner. A numerical study conducted jointly bythe Oak Ridge National Laboratory and SAIC for the PORTS is presented.
机译:为了支持科学应用国际公司(SAIC)在美国俄亥俄州朴次茅斯的朴茨茅斯气体扩散工厂(PORTS)编写的纠正措施和清除替代品研究(CMS),进行了土壤浸出数值分析,以帮助建立深层污染的清理目标。对于PORTS站点上存在的约60种污染物,研究确定了那些深层土壤浓度最有可能不会导致地下水污染超过美国环境保护署(USEPA)准则的那些浓度。然后将这些值用作定义土壤清理目标的技术基础。环境系统的数值建模为项目经理提供了其他来源无法获得的独特信息。通过量化问题物理的重要方面的能力,建模可以快速积累解决问题所需的物理见解,从而有系统地,集中地解决问题。提出了由橡树岭国家实验室和国家工商行政管理总局联合进行的PORTS数值研究。

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