Pollution profiles, influencing factors, and source apportionment of target and suspect organophosphate esters in ambient air: A case study in a typical city of Northern China

被引:18
|
作者
Zhao, Ang [1 ]
Wei, Chao [1 ,4 ]
Xin, Yue [1 ]
Wang, Xiaoli [1 ]
Zhu, Qingqing [2 ]
Xie, Jixing [1 ,3 ]
Ma, Haiyun [1 ,3 ]
Xu, Jianzhong [1 ,3 ]
Wang, Mei [1 ,3 ]
机构
[1] Hebei Univ, Coll Chem & Environm Sci, Baoding 071002, Peoples R China
[2] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China
[3] Flame Retardant Mat & Proc Technol Engn Res Ctr He, Baoding 071002, Peoples R China
[4] Hebei Univ, Key Lab Chem Biol Hebei Prov, Baoding 071002, Peoples R China
基金
中国国家自然科学基金;
关键词
Organophosphate esters; Suspect screening; Influencing factors; Source apportionment; OH-INITIATED OXIDATION; TIANJIN-HEBEI REGION; FLAME RETARDANTS; URBAN; PM2.5; WATER; GAS; PLASTICIZERS; PERSISTENCE; MODEL;
D O I
10.1016/j.jhazmat.2022.130373
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Organophosphate esters (OPEs) are attracting attention because they pose risks to biota, including humans. Little research has been performed into the environmental fates of OPEs in the atmosphere. Here, target/suspect OPEs were determined in 122 atmosphere samples (gas phase (n = 31), PM2.5 (n = 30), PM10 (n = 30), and total suspended particles (n = 31)) from a city in Northern China. Pollution profiles were established, influencing factors identified, and sources apportioned. We found 12 target OPEs and 29 suspect OPEs. The target and suspect OPE concentrations in the ambient air samples were 2.2-172.5 and 0.7-53.9 ng/m3, respectively. Tris (chloroethyl) phosphate, tris(1-chloro-2-propyl) phosphate, and tris(2,4-di-t-butylphenyl) phosphate were the dominant OPEs in all samples. The OPEs were not in equilibrium, indicated by a multi-parameter linear free energy relationship model. The air quality index and OPE concentrations significantly correlated, indicating that OPE pollution is often more serious during weather with worse air quality. The target and suspect screening strategy and a positive matrix factorization model allowed OPE sources to be apportioned, improving our understanding of OPE sources. The four dominant sources were (1) construction, (2) indoor emissions, (3) the plastic industry and industrial activities, and (4) traffic emissions, textiles, and foam products.
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页数:10
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