Tags

Type your tag names separated by a space and hit enter

Chemical composition and source apportionment of PM10 and PM2.5 in different functional areas of Lanzhou, China.
J Environ Sci (China) 2016; 40:75-83JE

Abstract

To elucidate the air pollution characteristics of northern China, airborne PM10 (atmospheric dynamic equivalent diameter ≤ 10 μm) and PM2.5 (atmospheric dynamic equivalent diameter ≤ 2.5 μm) were sampled in three different functional areas (Yuzhong County, Xigu District and Chengguan District) of Lanzhou, and their chemical composition (elements, ions, carbonaceous species) was analyzed. The results demonstrated that the highest seasonal mean concentrations of PM10 (369.48 μg/m(3)) and PM2.5 (295.42 μg/m(3)) were detected in Xigu District in the winter, the lowest concentration of PM2.5 (53.15 μg/m(3)) was observed in Yuzhong District in the fall and PM10 (89.60 μg/m(3)) in Xigu District in the fall. The overall average OC/EC (organic carbon/elemental carbon) value was close to the representative OC/EC ratio for coal consumption, implying that the pollution of Lanzhou could be attributed to the burning of coal. The content of SNA (the sum of sulfate, nitrate, ammonium, SNA) in PM2.5 in Yuzhong County was generally lower than that at other sites in all seasons. The content of SNA in PM2.5 and PM10 in Yuzhong County was generally lower than that at other sites in all seasons (0.24-0.38), indicating that the conversion ratios from precursors to secondary aerosols in the low concentration area was slower than in the area with high and intense pollutants. Six primary particulate matter sources were chosen based on positive matrix factorization (PMF) analysis, and emissions from dust, secondary aerosols, and coal burning were identified to be the primary sources responsible for the particle pollution in Lanzhou.

Authors+Show Affiliations

School of Environment, Tsinghua University, Beijing 10084, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 10084, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210000, China.School of Environment, Tsinghua University, Beijing 10084, China.State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 10084, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210000, China. Electronic address: gaojian@craes.org.cn.State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 10084, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210000, China.School of Environment, Tsinghua University, Beijing 10084, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 10084, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210000, China. Electronic address: chaifh@craes.org.cn.State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 10084, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210000, China.State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 10084, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210000, China.State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 10084, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210000, China.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

26969547

Citation

Qiu, Xionghui, et al. "Chemical Composition and Source Apportionment of PM10 and PM2.5 in Different Functional Areas of Lanzhou, China." Journal of Environmental Sciences (China), vol. 40, 2016, pp. 75-83.
Qiu X, Duan L, Gao J, et al. Chemical composition and source apportionment of PM10 and PM2.5 in different functional areas of Lanzhou, China. J Environ Sci (China). 2016;40:75-83.
Qiu, X., Duan, L., Gao, J., Wang, S., Chai, F., Hu, J., ... Yun, Y. (2016). Chemical composition and source apportionment of PM10 and PM2.5 in different functional areas of Lanzhou, China. Journal of Environmental Sciences (China), 40, pp. 75-83. doi:10.1016/j.jes.2015.10.021.
Qiu X, et al. Chemical Composition and Source Apportionment of PM10 and PM2.5 in Different Functional Areas of Lanzhou, China. J Environ Sci (China). 2016;40:75-83. PubMed PMID: 26969547.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Chemical composition and source apportionment of PM10 and PM2.5 in different functional areas of Lanzhou, China. AU - Qiu,Xionghui, AU - Duan,Lei, AU - Gao,Jian, AU - Wang,Shulan, AU - Chai,Fahe, AU - Hu,Jun, AU - Zhang,Jingqiao, AU - Yun,Yaru, Y1 - 2016/01/07/ PY - 2015/05/30/received PY - 2015/10/14/revised PY - 2015/10/15/accepted PY - 2016/3/13/entrez PY - 2016/3/13/pubmed PY - 2016/12/15/medline KW - Chemical composition KW - Functional areas KW - Particulate matter KW - Source apportionment SP - 75 EP - 83 JF - Journal of environmental sciences (China) JO - J Environ Sci (China) VL - 40 N2 - To elucidate the air pollution characteristics of northern China, airborne PM10 (atmospheric dynamic equivalent diameter ≤ 10 μm) and PM2.5 (atmospheric dynamic equivalent diameter ≤ 2.5 μm) were sampled in three different functional areas (Yuzhong County, Xigu District and Chengguan District) of Lanzhou, and their chemical composition (elements, ions, carbonaceous species) was analyzed. The results demonstrated that the highest seasonal mean concentrations of PM10 (369.48 μg/m(3)) and PM2.5 (295.42 μg/m(3)) were detected in Xigu District in the winter, the lowest concentration of PM2.5 (53.15 μg/m(3)) was observed in Yuzhong District in the fall and PM10 (89.60 μg/m(3)) in Xigu District in the fall. The overall average OC/EC (organic carbon/elemental carbon) value was close to the representative OC/EC ratio for coal consumption, implying that the pollution of Lanzhou could be attributed to the burning of coal. The content of SNA (the sum of sulfate, nitrate, ammonium, SNA) in PM2.5 in Yuzhong County was generally lower than that at other sites in all seasons. The content of SNA in PM2.5 and PM10 in Yuzhong County was generally lower than that at other sites in all seasons (0.24-0.38), indicating that the conversion ratios from precursors to secondary aerosols in the low concentration area was slower than in the area with high and intense pollutants. Six primary particulate matter sources were chosen based on positive matrix factorization (PMF) analysis, and emissions from dust, secondary aerosols, and coal burning were identified to be the primary sources responsible for the particle pollution in Lanzhou. SN - 1001-0742 UR - https://www.unboundmedicine.com/medline/citation/26969547/Chemical_composition_and_source_apportionment_of_PM10_and_PM2_5_in_different_functional_areas_of_Lanzhou_China_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1001-0742(15)00480-5 DB - PRIME DP - Unbound Medicine ER -