Title: | Size-resolved gas-particle partitioning characteristics of typical semi-volatile organic compounds in urban atmosphere |
Author(s): | Wang SQ; Hu YJ; Yuan YF; Hu ZC; Wu CC; Bao LJ; Zeng EY; |
Address: | "Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China. Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China. Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China. Electronic address: baolianjun@jnu.edu.cn" |
DOI: | 10.1016/j.envpol.2023.121101 |
ISSN/ISBN: | 1873-6424 (Electronic) 0269-7491 (Linking) |
Abstract: | "Understanding particle size distribution and size-resolved gas-particle partitioning of semi-volatile organic compounds (SVOCs) is important for characterizing their fate in atmosphere. However, the size-resolved gas-particle partitioning characteristics of SVOCs has not been adequately considered. To address this issue, the present study collected gaseous and size-fractioned particulate samples both in and outside of schools, offices, and residences in three districts of different urbanization levels in a megacity, Guangzhou, South China during two seasons. Typical SVOCs, including 15 polycyclic aromatic hydrocarbons (PAHs), six organophosphate esters and seven phthalic acid esters were measured. Emission sources, physicochemical properties, and environmental conditions at the sampling sites considerably impacted the spatiotemporal distribution patterns and particle size distribution of target SVOCs. Not all observed gas-particle partition coefficients (K(p)) of target SVOCs were negatively correlated with subcooled liquid-vapor pressures (P(L)(0)), probably because certain factors, such as the non-exchangeable part of the particle-bound SVOCs, were not considered in traditional gas-particle partition theories. Particle size was an important factor affecting gas-particle partitioning. Adsorption was the dominant mechanism for PAHs with high molecular weight in different particle modes. A new model was established to predict size-resolved K(p) of PAHs with high molecular weight based on P(L)(0) and particle size" |
Keywords: | *Air Pollutants/analysis *Volatile Organic Compounds/analysis Particle Size Atmosphere/chemistry China Gases/analysis *Polycyclic Aromatic Hydrocarbons/analysis Environmental Monitoring Gas-particle partition Prediction model Semi-volatile organic compoun; |
Notes: | "MedlineWang, Si-Qi Hu, Yuan-Jie Yuan, Yong-Fang Hu, Ze-Chao Wu, Chen-Chou Bao, Lian-Jun Zeng, Eddy Y eng England 2023/01/21 Environ Pollut. 2023 Mar 1; 320:121101. doi: 10.1016/j.envpol.2023.121101. Epub 2023 Jan 17" |