AI Article Synopsis
- Large masses of coal tar asphalt in old roads contain high levels of polycyclic aromatic hydrocarbons (PAHs), creating uncertainty in road reconstruction and asphalt reuse.
- A linear equilibrium partitioning model was developed to assess the bioavailability of PAHs in contaminated soils, using experimental partitioning coefficients and measurements of dissolved concentrations.
- This model simplifies risk assessments by primarily considering soil organic carbon content and the proportion of coal tar binder, aiding in prioritizing sensitive areas for risk reduction.
Article Abstract
There are large masses of coal tar asphalt present in old roads, containing high concentrations of polycyclic aromatic hydrocarbons (PAHs). Uncertainty surrounding the risk they pose causes problems during road reconstruction and for the reuse of the asphalt present. To help elucidate potential risks, a parsimonious linear equilibrium partitioning model for the bioavailability of PAHs in soils contaminated by tar asphalt particles was developed. Furthermore, a set of partitioning coefficients for PAHs between sampled coal tar binders and water were determined experimentally, as well as measurements of freely dissolved concentrations using polyoxymethylene samplers in batch tests and column recirculation experiments with various mixtures of different soils (peat and sandy loam) and tar asphalts. The model predictions of freely dissolved concentrations were conservative and within an order of magnitude of measurements in both batch and column tests. The model presented here only relies on soil organic carbon content and the fraction coal tar binder in the soil to model PAH partitioning. This model could be used for more realistic. Low tier risk assessments towards rational prioritization of sensitive areas for risk reduction efforts.
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| http://dx.doi.org/10.1016/j.envpol.2024.124481 | DOI Listing |
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