Characteristics of fine particulate matter and its sources in an industrialized coastal city, Ningbo, Yangtze River Delta, China

Wang, Weifeng, Yu, Jie, Cui, Yang, He, Jun, Xue, Peng, Cao, Wan, Ying, Hongmei, Gao, Wenkang, Yan, Yingchao, Hu, Bo, Xin, Jinyuan, Wang, Lili, Liu, Zirui, Sun, Yang, Ji, Dongsheng and Wang, Yuesi (2018) Characteristics of fine particulate matter and its sources in an industrialized coastal city, Ningbo, Yangtze River Delta, China. Atmospheric Research, 203 . pp. 105-117. ISSN 0169-8095

[thumbnail of 2018-Fine particulate matter and its source in Ningbo.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Available under Licence Creative Commons Attribution Non-commercial No Derivatives.
Download (2MB) | Preview

Abstract

Chemical information is essential in understanding the characteristics of airborne particles, and effectively controlling airborne particulate matter pollution, but it remains unclear in some regions due to the scarcity of measurement data. In the present study, 92 daily PM2.5 (particulate matter with an aerodynamic diameter ≤ 2.5 μm) samples as well as historical observation data of air pollutants were collected in urban Ningbo, one of important industrial cities in the coastal area of the Yangtze River Delta, China in autumn and winter (from Nov. 2014 to Feb. 2015). Various chemical species in PM2.5 were determined including water soluble ions, organic and elemental carbon and elements. Positive matrix factorization model, cluster analysis of back trajectories, potential source contribution function (PSCF) model and concentration-weighted trajectory (CWT) model were used for identifying sources, apportioning contributions from each source and tracking potential areas of sources. The results showed the PM2.5 concentration has been reducing; nonetheless, the concentrations of PM2.5 are still much higher than the World Health Organization guideline with high PM2.5 concentrations observed in autumn and winter for the past few years. During the sampling period, the average PM2.5 mass concentration was 77 μg/m3 with the major components of OC, NO3−, SO42 −, NH4+ and EC, accounting for 24.7, 18.8, 14.5, 11.8 and 6.4% in the total mass concentration, respectively. When the aerosol pollution got worse during the sampling period, the NO3−, SO42 − and NH4+ concentrations increased accordingly and NO3− appeared to increase at fastest rate. SO42 − transported from industrial areas led to slight difference in spatial distribution of SO42 − in Ningbo. More secondary organic carbon was formed and the enrichment factor values of Cu, Ag, Cd, Sn and Pb increased with the degradation of air quality. Ten types of sources were identified for PM2.5 in the autumn and winter of Ningbo, which are metallurgical industry, biomass burning and waste incineration, manufacturing related with Mo, chlor-alkli chemical industry, oil combustion, vehicular emission, secondary source, soil dust, road dust and manufacturing related with Cr, accounting for 9.4, 4.8, 9.4, 7.6, 8.1, 18.7, 27.6, 2, 7.1 and 5.2% of the total sources, respectively. There were five groups of air parcels arriving in Ningbo, of which inland air masses originating from Shandong province were associated with the highest PM2.5 concentrations. Despite the slight differences, it was obvious that the north of Jiangxi, east of Anhui, west of Jiangsu, south of Shandong were identified as major potential sources-areas of SO42 −, NO3−, NH4+, Cl−, OC and EC by both PSCF and CWT models.

Item Type: Article
Keywords: PM2.5; Chemical species; Source apportionment; Yangtze River Delta
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > Department of Chemical and Environmental Engineering
Identification Number: 10.1016/j.atmosres.2017.11.033
Related URLs:
Depositing User: Yu, Tiffany
Date Deposited: 16 Jan 2019 11:37
Last Modified: 07 Dec 2019 04:30
URI: https://eprints.nottingham.ac.uk/id/eprint/55880

Actions (Archive Staff Only)

Edit View Edit View