title: Simultaneous monitoring and compositions analysis of PM1 and PM2.5 in Shanghai: Implications for characterization of haze pollution and source apportionment.
abstract: A year-long simultaneous observation of PM1 and PM2.5 were conducted at ECUST campus in Shanghai, the compositions were analyzed and compared. Results showed that PM2.5 was dominated by PM1 on clear days while the contribution of PM1-2.5 to PM2.5 increased on haze days, indicating that PM2.5 should be given priority to characterize or predict haze pollution. On haze days, accumulation of organic carbon (OC), elemental carbon (EC) and primary organic carbon (POC) in PM1-2.5 was faster than that in PM1. Humic-like substances carbon (Hulis-C) in both PM2.5 and PM1 formed faster than water soluble organic carbon (WSOC) on haze days, hence Hulis-C/WSOC increased with the intensification of haze pollution. In terms of water soluble ions, NO3(-)/SO4(2-) in PM1 increased with the aggravation of haze pollution, implying that mobile sources dominated on haze days, so is nitrogen oxidation ratio (NOR). Liquid water content (LWC) in both PM1 and PM2.5 had positive correlations with relative humidity (RH) but negative correlations with visibility, implying that hygroscopic growth might be a factor for visibility impairment, especially LWC in PM1. By comparison with multi-linear equations of LWC in PM1 and PM2.5, NO3(-) exerted a higher influence on hygroscopicity of PM1 than PM2.5, while RH, WSOC, SO4(2-) and NH4(+) had higher effects on PM2.5, especially WSOC. Source apportionment of PM2.5 was also investigated to provide reference for policy making. Cluster analysis by HYSPLIT (HYbrid Single Particle Lagrangian Integrated Trajectory) model showed that PM2.5 originated from marine aerosols, middle-scale transportation and large-scale transportation. Furthermore, PM2.5 on haze days was dominated by middle-scale transportation. In line with source apportionment by positive matrix factorization (PMF) model, PM2.5 was attributed to secondary inorganics, aged sea salt, combustion emissions, hygroscopic growth and secondary organics. Secondary formation was the principle source of PM2.5. Furthermore, the contribution of combustion emissions to PM2.5 increased with the intensification of haze pollution, which was just opposite to hygroscopic growth, while that of secondary formation kept quite stable on clear days and haze days.
authors.affiliation: State Environmental Protection Key Laboratory of Risk Assessment and Control on Chemical Processes, School of Resources & Environmental Engineering, East China University of Science and Technology (ECUST), Shanghai 200237, China; The People's Government of Dong Ping Town, Chongming County, Shanghai Municipality, China.
authors.forename: Ting
authors.initials: T
authors.lastname: Qiao
authors.affiliation: State Environmental Protection Key Laboratory of Risk Assessment and Control on Chemical Processes, School of Resources & Environmental Engineering, East China University of Science and Technology (ECUST), Shanghai 200237, China.
authors.forename: Mengfei
authors.initials: M
authors.lastname: Zhao
authors.affiliation: State Environmental Protection Key Laboratory of Risk Assessment and Control on Chemical Processes, School of Resources & Environmental Engineering, East China University of Science and Technology (ECUST), Shanghai 200237, China; Australia-China Centre for Air Quality Science and Management (ACC-AQSM), China.
authors.forename: Guangli
authors.initials: G
authors.lastname: Xiu
authors.affiliation: Department of Chemistry, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China.
authors.forename: Jianzhen
authors.initials: J
authors.lastname: Yu
keywords: Haze pollution; Humic like substances (Hulis); Liquid water content (LWC); PM(1); PM(2.5); Source apportionment