Soil-air partitioning coefficient (K) values are often used to assess the environmental fate of organic contaminants in soil. Till now, sufficient K values have not yet been measured for many compounds of interest, including some emerging pollutants such as volatile PFAS. Moreover, the effects of environmental factors such as temperature, relative humidity and soil organic carbon content on K of volatile PFAS are also unclear. In this study, the K values of target volatile PFAS were measured under various temperature (20-40 °C), relative humidity (30-100 %) and soil organic carbon content (2.1 %-8.0 %) using a modified solid-phase fugacity meter. The results showed that higher temperatures, higher relative humidity and lower organic carbon content in soil may accelerate the diffusion of target volatile PFAS. Furthermore, the K measurements were used to derive a multiple linear regression model to depict the relationship between logK and temperature, relative humidity, soil organic carbon content and PFAS-specific logK. When compared with the predictions obtained from semi-empirical model, we argued that the multiple linear regression model is more robust and easier to implement for target volatile PFAS or other emerging volatile PFAS than the semi-empirical approach to help depict the diffusion process at target volatile PFAS contaminated sites.

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http://dx.doi.org/10.1016/j.scitotenv.2024.176987DOI Listing

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