Sensitive Parameters In Predicting Exposure Contaminants Concentration In A Risk Assessment Process |
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Authors: | Salvatore Avagliano Antonella Vecchio Vincenzo Belgiorno |
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Institution: | (1) ENEA – National Agency for New Technology, Energy and Environment, Portici Research Center, Napoli, Italy;(2) Department of Civil Engineering, University of Salerno, Fisciano (SA), Italy |
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Abstract: | A sensitivity analysis (SA) was conducted on the analytical models considered in the risk-based corrective-action (RBCA) methodology
of risk analysis, as developed by the American Society for Testing of Materials (ASTM), to predict a contaminant‘s concentration
in the affected medium at the point of human exposure. These models are of interest because evaluations regarding the best
approach to contaminated site remediation are shifting toward increased use of risk-based decision, and the ASTM RBCA methodology
represents the most effective and internationally widely used standardized guide for risk assessment process. This paper identifies
key physical and chemical parameters that need additional precision and accuracy consideration in order to reduce uncertainty
in models prediction, thereby saving time, money and engineering effort in the data collection process. SA was performed applying
a variance-based method to organic contaminants migration models with reference to soil-to-groundwater leaching ingestion
exposure scenario. Results indicate that model output strongly depends on the organic-carbon partition coefficient, organic-carbon
content, net infiltration, Darcy velocity, source-receptor distance, and first-order decay constant. |
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Keywords: | natural attenuation factors risk assessment sensitivity analysis uncertainty variability variance-based method |
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