title: Long-term variation of the levels, compositions and sources of size-resolved particulate matter in a megacity in China.
abstract: To investigate the long-term trends and variations of the levels, compositions, size distribution and sources of particulate matter (PM), long-term monitoring campaigns of PM10 and PM2.5 were performed in a megacity in China (Chengdu) during the period from 2009 to 2011. The average concentration of PM10 was 172.01±89.80 μg/m(3) and that of PM2.5 was 103.15±59.83 μg/m(3), with an average PM2.5/PM10 of 0.60. Enrichments of the important species indicated that the fractions of crustal elements were higher in PM10 than those in PM2.5, while the abundance of organic carbon (OC) and secondary ions was enriched in the fine PM. Quantitative source apportionments of both PM10 and PM2.5 were performed by PMF. PM10 and PM2.5 in Chengdu were influenced by similar source categories, and their percentage contributions were in the same order: crustal dust was the highest contributor, followed by vehicular exhaust, secondary sulfate, secondary nitrate and cement dust. Crustal dust and cement dust contributed a higher percentage to PM10 than to PM2.5, while vehicular exhaust and secondary particles provided higher percentage contributions to PM2.5. In addition, PMF-HCA was performed to investigate the characteristics of the sources of the clustered samples, identifying three periods: crustal dust dominant-period, secondary sulfate dominant-period and comprehensive source influenced-period. Planting, reduction of precursors, and banning high-emission vehicles should be implemented to control crustal dust, secondary particles and vehicular exhaust in Chengdu. Furthermore, the size-resolved and the period-resolved control would be more effective.
authors.affiliation: State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
authors.forename: Ying-Ze
authors.initials: YZ
authors.lastname: Tian
authors.forename: Jian-Hui
authors.initials: JH
authors.lastname: Wu
authors.forename: Guo-Liang
authors.initials: GL
authors.lastname: Shi
authors.forename: Jian-Yu
authors.initials: JY
authors.lastname: Wu
authors.forename: Yu-Fen
authors.initials: YF
authors.lastname: Zhang
authors.forename: Lai-Dong
authors.initials: LD
authors.lastname: Zhou
authors.forename: Pu
authors.initials: P
authors.lastname: Zhang
authors.forename: Yin-Chang
authors.initials: YC
authors.lastname: Feng
mesh_terms: D002680:Chin; D002947:Cities / Q000706:statistics & numerical data*; D004391:Dust / Q000032:analysis; D004784:Environmental Monitoring / Q000706:statistics & numerical data; D009566:Nitrates / Q000032:analysis; D010316:Particle Size; D052638:Particulate Matter / Q000032:analysis* / Q000737:chemistry; D013997:Time Factors; D001335:Vehicle Emissions / Q000032:analysis
chemical_list: D004391:Dust; D009566:Nitrates; D052638:Particulate Matter; D001335:Vehicle Emissions
keywords: Dominant source; Long-term monitoring; PM; PMF; PMF–HCA; Source apportionment