title: [Distribution and source apportionment of n-alkanes in atmospheric particle in Taiyuan, China].
abstract: The n-alkanes in PM10 and typical emission sources samples collected during heating and non-heating periods in Taiyuan were determined with GC-MS. Meanwhile, the distribution characteristics and source identification of n-alkanes were investigated with diagnostic parameters and principal component analysis (PCA). Concentrations of n-alkanes ranged from 213.74 to 573.32 ng.m-3 and 22.69 to 150.82 ng.m-3 in the heating and non-heating seasons, respectively. The n-alkanes concentrations in suburban districts including JY, JCP, XD and SL were higher than those in urban sites in the heating quarter, and the relative concentration in JS was 7 times higher than that in SL in the other period. The correlation of the total n-alkanes in PM10 with that derived from fossil fuel was higher than the correlation with those from plant in the heating quarter, while the opposite result was detected in the other period, manifesting higher contribution of fossil fuel in the heating days. CPI and % WNA values showed that the contribution from plant wax in the non-heating period was higher than that in the heating period, and the alkanes production rate was elevated along with the increase in environmental pressures. Information on higher organic matter maturity was obtained during the heating period by Cmax and OEP and the existence of UCM bulge confirmed that vehicles were the significant contributor to n-alkanes concentration during the whole year. PCA analysis indicated the major component was the mixture of vehicle emission and higher plant, accounting for 51.28% of the total variances, followed by coal dust, accounting for 43. 14%. Cooperating control of emissions from coal combustions and vehicles would be the effective way to lower the concentrations of the corresponding n-alkanes.
authors.affiliation: College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China huhu3057@163.com
authors.forename: Dong-Mei
authors.initials: DM
authors.lastname: Hu
authors.affiliation: College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China
authors.forename: Lin
authors.initials: L
authors.lastname: Peng
authors.affiliation: College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China
authors.forename: Hui-Ling
authors.initials: HL
authors.lastname: Bai
authors.affiliation: College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China
authors.forename: Ling
authors.initials: L
authors.lastname: Mu
authors.affiliation: College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China
authors.forename: Feng
authors.initials: F
authors.lastname: Han
authors.affiliation: College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China
authors.forename: Xiao-Feng
authors.initials: XF
authors.lastname: Liu
authors.affiliation: College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China
authors.forename: Hao-Dong
authors.initials: HD
authors.lastname: Ji
authors.affiliation: College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China
authors.forename: Peng-Jiu
authors.initials: PJ
authors.lastname: Zhang
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D000473:Alkanes / Q000032:analysis*; D002681:China; D003031:Coal; D004784:Environmental Monitoring; D052638:Particulate Matter / Q000032:analysis*; D012621:Seasons; D001335:Vehicle Emissions
chemical_list: D000393:Air Pollutants; D000473:Alkanes; D003031:Coal; D052638:Particulate Matter; D001335:Vehicle Emissions