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Estimating indoor semi-volatile organic compounds (SVOCs) associated with settled dust by an integrated kinetic model accounting for aerosol dynamics
Abstract Due to their low vapor pressure, semi-volatile organic compounds (SVOCs) can absorb onto other compartments in indoor environments, including settled dust. Incidental ingestion of settled dust-bound SVOCs contributes to the majority of daily non-dietary exposure to some SVOCs by human beings. With this pathway in mind, an integrated kinetic model to estimate indoor SVOC was developed to better predict the mass-fraction of SVOC associated with settled dust, which is important to accurately assess the non-dietary ingestion exposure to SVOC. In this integrated kinetic model, the aerosol dynamics were considered, including particle penetration, deposition and resuspension. The newly developed model was evaluated by comparing the predicted mass-fraction of SVOC associated with the settled dust (X dust) and the measured X dust from previous studies. Sixty X dust values of thirty-eight different SVOCs measured in residences located in seven countries from four continents were involved in the model evaluation. The X dust value predicted by the integrated kinetic model correlated linearly with the measured X dust: y = 0.93x + 0.09 (R 2 = 0.73), which indicates that the predicted X dust by the integrated kinetic model are in good match with the measured data. This model may be utilized to predict SVOC concentrations in different indoor compartments, including dust-bound SVOC.
Highlights An integrated kinetic model was developed to predict SVOCs in dust. The features of aerosol dynamics were taken into consideration. Predicted SVOCs in dust were in good match with measured data.
Estimating indoor semi-volatile organic compounds (SVOCs) associated with settled dust by an integrated kinetic model accounting for aerosol dynamics
Abstract Due to their low vapor pressure, semi-volatile organic compounds (SVOCs) can absorb onto other compartments in indoor environments, including settled dust. Incidental ingestion of settled dust-bound SVOCs contributes to the majority of daily non-dietary exposure to some SVOCs by human beings. With this pathway in mind, an integrated kinetic model to estimate indoor SVOC was developed to better predict the mass-fraction of SVOC associated with settled dust, which is important to accurately assess the non-dietary ingestion exposure to SVOC. In this integrated kinetic model, the aerosol dynamics were considered, including particle penetration, deposition and resuspension. The newly developed model was evaluated by comparing the predicted mass-fraction of SVOC associated with the settled dust (X dust) and the measured X dust from previous studies. Sixty X dust values of thirty-eight different SVOCs measured in residences located in seven countries from four continents were involved in the model evaluation. The X dust value predicted by the integrated kinetic model correlated linearly with the measured X dust: y = 0.93x + 0.09 (R 2 = 0.73), which indicates that the predicted X dust by the integrated kinetic model are in good match with the measured data. This model may be utilized to predict SVOC concentrations in different indoor compartments, including dust-bound SVOC.
Highlights An integrated kinetic model was developed to predict SVOCs in dust. The features of aerosol dynamics were taken into consideration. Predicted SVOCs in dust were in good match with measured data.
Estimating indoor semi-volatile organic compounds (SVOCs) associated with settled dust by an integrated kinetic model accounting for aerosol dynamics
Shi, Shanshan (author) / Zhao, Bin (author)
Atmospheric Environment ; 107 ; 52-61
2015-01-30
10 pages
Article (Journal)
Electronic Resource
English
British Library Online Contents | 2017
|British Library Online Contents | 2017
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