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Using Field Data and Numerical Modeling to Assess Vapor Intrusion Risk
| 题名： | Using Field Data and Numerical Modeling to Assess Vapor Intrusion Risk |
| 关键词： | Vapor intrusion;Air pollution monitoring;Numerical modeling;Ground water;Chemical concentrations;Seepage;Contaminants;Soil gas;Risk assessment;Data collection;Field data; |
| 摘要： | A recent Superfund Research Program (SRP) study reveals that measurements of chemical concentrations in groundwater may not be a good indicator of whether the chemicals are seeping into buildings and contaminating indoor air. The findings provide insight into how an approach incorporating multiple lines of evidence, including soil gas measurements and a 3-D model, can be used to better evaluate exposure risks from vapor intrusion into homes and buildings. |
| 报告类型： | 科技报告 |
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