title: Evaluating PM₂.₅ ionic components and source apportionment in Jinan, China from 2004 to 2008 using trajectory statistical methods.
abstract: The mass concentrations and major chemical components of PM(2.5) in Jinan, Shandong Province, China from Dec. 2004 to Oct. 2008 were analyzed using backward trajectory cluster analysis in conjunction with the potential source contribution function (PSCF) model. The aim of this work was to study the inter-annual variations of mass concentrations and major chemical components of PM(2.5), evaluate the air mass flow patterns and identify the potential local and regional source areas that contributed to secondary sulfate and nitrate in PM(2.5) in Jinan. The annual mean concentrations of PM(2.5), sulfate and nitrate in 2004-2008 were almost the highest in the world. The most significant air parcels contributing to the highest mean concentrations of mass and secondary ions in PM(2.5) originated from the industrialized areas of Shandong Province. Clusters with a lower ratio of NO(3)(-)/SO(4)(2-) in PM(2.5) originated from the Yellow Sea, while a higher ratio was observed in the clusters passing through Beijing and Tianjin. PSCF modeling indicated that the provinces of Shandong, Henan, Jiangsu, Anhui and the Yellow Sea were the major potential source regions for sulfate, in agreement with the cluster analysis results. Regional and long-range transport of NH(4)NO(3) played an important role in the nitrate concentration of Jinan. By comparing the distributions of secondary sulfate and nitrate over three years, enhanced emission control management before and during the 29(th) Olympic Games led to a discernible decrease in source contributions from Beijing and its environs in 2007-2008.
authors.affiliation: Environment Research Institute, Shandong University, Jinan, 250100, China. chengshuhui@hotmail
authors.forename: Shuhui
authors.initials: S
authors.lastname: Cheng
authors.forename: Lingxiao
authors.initials: L
authors.lastname: Yang
authors.forename: Xuehua
authors.initials: X
authors.lastname: Zhou
authors.forename: Zhe
authors.initials: Z
authors.lastname: Wang
authors.forename: Yang
authors.initials: Y
authors.lastname: Zhou
authors.forename: Xiaomei
authors.initials: X
authors.lastname: Gao
authors.forename: Wei
authors.initials: W
authors.lastname: Nie
authors.forename: Xinfeng
authors.initials: X
authors.lastname: Wang
authors.forename: Pengju
authors.initials: P
authors.lastname: Xu
authors.forename: Wenxing
authors.initials: W
authors.lastname: Wang
mesh_terms: D000392:Air Movements; D000393:Air Pollutants / Q000032:analysis* / Q000737:chemistry; D000397:Air Pollution / Q000706:statistics & numerical data*; D002681:China; D007477:Ions / Q000032:analysis / Q000737:chemistry; D008956:Models, Chemical; D009566:Nitrates / Q000032:analysis / Q000737:chemistry; D010316:Particle Size; D052638:Particulate Matter / Q000032:analysis* / Q000737:chemistry; D013431:Sulfates / Q000032:analysis / Q000737:chemistry
chemical_list: D000393:Air Pollutants; D007477:Ions; D009566:Nitrates; D052638:Particulate Matter; D013431:Sulfates