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Chemical characterization and source apportionment of PM2.5 in a semi-arid and petrochemical-industrialized city, Northwest China.
Sci Total Environ. 2016 Dec 15; 573:1031-1040.ST

Abstract

Daily PM2.5 samples were collected in 2014 at a suburban petrochemical industrial site and a downtown site in Lanzhou city, Northwest China. Major chemical components in PM2.5, including water-soluble ions, metal elements, and organic and elemental carbon (OC and EC) were determined. The chemical mass closure method and the ISORROPIA II thermodynamic equilibrium model were used to reconstruct PM2.5 mass and quantify the combinations of NH4+, SO42- and NO3- to PM2.5. Positive matrix factorization (PMF) model was employed to apportion potential sources of PM2.5. The annual average PM2.5 concentration was 93.7±49.6μgm-3 at the suburban petrochemical industrial site and 88.9±52.0μgm-3 at the urban site, with the highest seasonal average in winter and the lowest in summer at both sites. Mineral dust was identified as the highest contributor to PM2.5 in spring, while water-soluble inorganic ions and carbonaceous aerosols were the dominant chemical components in other seasons. The correlation relationships between OC and EC and between K+ and EC suggested that coal combustion and vehicle exhaust were the major sources of carbonaceous aerosols in Lanzhou. Six major sources were identified by the PMF model. Coal combustion, soil dust, traffic emissions, and secondary inorganic aerosols were the dominant contributors, together accounting for 82% of PM2.5 mass.

Authors+Show Affiliations

Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Science, Lanzhou University, Lanzhou 730000, China.Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Science, Lanzhou University, Lanzhou 730000, China.South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou 510655, China.Air Quality Research Division, Science & Technology Branch, Environment and Climate Change Canada, Toronto, Ontario M3H 5T4, Canada.Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Science, Lanzhou University, Lanzhou 730000, China.Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Science, Lanzhou University, Lanzhou 730000, China; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100101, China. Electronic address: jianminma@lzu.edu.cn.Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Science, Lanzhou University, Lanzhou 730000, China.Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Science, Lanzhou University, Lanzhou 730000, China.Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Science, Lanzhou University, Lanzhou 730000, China.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

27607906

Citation

Wang, Yanan, et al. "Chemical Characterization and Source Apportionment of PM2.5 in a Semi-arid and Petrochemical-industrialized City, Northwest China." The Science of the Total Environment, vol. 573, 2016, pp. 1031-1040.
Wang Y, Jia C, Tao J, et al. Chemical characterization and source apportionment of PM2.5 in a semi-arid and petrochemical-industrialized city, Northwest China. Sci Total Environ. 2016;573:1031-1040.
Wang, Y., Jia, C., Tao, J., Zhang, L., Liang, X., Ma, J., Gao, H., Huang, T., & Zhang, K. (2016). Chemical characterization and source apportionment of PM2.5 in a semi-arid and petrochemical-industrialized city, Northwest China. The Science of the Total Environment, 573, 1031-1040. https://doi.org/10.1016/j.scitotenv.2016.08.179
Wang Y, et al. Chemical Characterization and Source Apportionment of PM2.5 in a Semi-arid and Petrochemical-industrialized City, Northwest China. Sci Total Environ. 2016 Dec 15;573:1031-1040. PubMed PMID: 27607906.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Chemical characterization and source apportionment of PM2.5 in a semi-arid and petrochemical-industrialized city, Northwest China. AU - Wang,Yanan, AU - Jia,Chenhui, AU - Tao,Jun, AU - Zhang,Leiming, AU - Liang,Xiaoxue, AU - Ma,Jianmin, AU - Gao,Hong, AU - Huang,Tao, AU - Zhang,Kai, Y1 - 2016/09/05/ PY - 2016/06/28/received PY - 2016/08/12/revised PY - 2016/08/26/accepted PY - 2016/9/9/pubmed PY - 2018/3/2/medline PY - 2016/9/9/entrez KW - Aerosol mass closure KW - Chemical composition KW - PM(2.5) KW - Source apportionment KW - Thermodynamic equilibrium model SP - 1031 EP - 1040 JF - The Science of the total environment JO - Sci. Total Environ. VL - 573 N2 - Daily PM2.5 samples were collected in 2014 at a suburban petrochemical industrial site and a downtown site in Lanzhou city, Northwest China. Major chemical components in PM2.5, including water-soluble ions, metal elements, and organic and elemental carbon (OC and EC) were determined. The chemical mass closure method and the ISORROPIA II thermodynamic equilibrium model were used to reconstruct PM2.5 mass and quantify the combinations of NH4+, SO42- and NO3- to PM2.5. Positive matrix factorization (PMF) model was employed to apportion potential sources of PM2.5. The annual average PM2.5 concentration was 93.7±49.6μgm-3 at the suburban petrochemical industrial site and 88.9±52.0μgm-3 at the urban site, with the highest seasonal average in winter and the lowest in summer at both sites. Mineral dust was identified as the highest contributor to PM2.5 in spring, while water-soluble inorganic ions and carbonaceous aerosols were the dominant chemical components in other seasons. The correlation relationships between OC and EC and between K+ and EC suggested that coal combustion and vehicle exhaust were the major sources of carbonaceous aerosols in Lanzhou. Six major sources were identified by the PMF model. Coal combustion, soil dust, traffic emissions, and secondary inorganic aerosols were the dominant contributors, together accounting for 82% of PM2.5 mass. SN - 1879-1026 UR - https://www.unboundmedicine.com/medline/citation/27607906/Chemical_characterization_and_source_apportionment_of_PM2_5_in_a_semi_arid_and_petrochemical_industrialized_city_Northwest_China_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0048-9697(16)31882-4 DB - PRIME DP - Unbound Medicine ER -