Effects of temperature, relative humidity and soil organic carbon content on soil-air partitioning coefficients of volatile PFAS

Soil-air partitioning coefficient (K<sub>SA</sub>) values are often used to assess the environmental fate of organic contaminants in soil. Till now, sufficient K<sub>SA</sub> 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<sub>SA</sub> of volatile PFAS are also unclear. In this study, the K<sub>SA</sub> 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<sub>SA</sub> measurements were used to derive a multiple linear regression model to depict the relationship between logK<sub>SA</sub> and temperature, relative humidity, soil organic carbon content and PFAS-specific logK<sub>OA</sub>. 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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Publication Details

Journal
The Science of The Total Environment
Published
2024-10-18
DOI
https://doi.org/10.1016/j.scitotenv.2024.176987
Citations
9
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
2.64

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article

Effects of temperature, relative humidity and soil organic carbon content on soil-air partitioning coefficients of volatile PFAS

Chengcheng Bu, Ru Zhang, Limin Ma, Yongzhi Wang et al.
9 citations
The Science of The Total Environment
Water Quality Monitoring and Analysis
2.64
article

Effects of temperature, relative humidity and soil organic carbon content on soil-air partitioning coefficients of volatile PFAS

Chengcheng Bu, Ru Zhang, Limin Ma, Yongzhi Wang, Chong Chen, Yuchen Han, Weiwei Zhang, Haoyu Zeng, Jinpeng Yu, Songsong Chen
article en
9 citations

Abstract

Soil-air partitioning coefficient (K<sub>SA</sub>) values are often used to assess the environmental fate of organic contaminants in soil. Till now, sufficient K<sub>SA</sub> 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<sub>SA</sub> of volatile PFAS are also unclear. In this study, the K<sub>SA</sub> 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<sub>SA</sub> measurements were used to derive a multiple linear regression model to depict the relationship between logK<sub>SA</sub> and temperature, relative humidity, soil organic carbon content and PFAS-specific logK<sub>OA</sub>. 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.

The Science of The Total EnvironmentVol. 955
Tongji University (CN), Zhejiang Ocean University (CN), Zhejiang Marine Fisheries Research Institute (CN)
Ministry of Science and Technology of the People's Republic of China
Openalex Percentile: Top 11%
Water Quality Monitoring and Analysis
2.64
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