Acidity (pH) plays a key role in the physical and chemical behavior of PM. However, understanding of how specific PM sources impact aerosol pH is rarely considered. Performing source apportionment of PM allows a unique link of sources pH of aerosol from the polluted city. Hourly water-soluble (WS) ions of PM were measured online from December 25th, 2014 to June 19th, 2015 in a northern city in China. Five sources were resolved including secondary nitrate (41%), secondary sulfate (26%), coal combustion (14%), mineral dust (11%), and vehicle exhaust (9%). The influence of source contributions to pH was estimated by ISORROPIA-II. The lowest aerosol pH levels were found at low WS-ion levels and then increased with increasing total ion levels, until high ion levels occur, at which point the aerosol becomes more acidic as both sulfate and nitrate increase. Ammonium levels increased nearly linearly with sulfate and nitrate until approximately 20 μg m, supporting that the ammonium in the aerosol was more limited by thermodynamics than source limitations, and aerosol pH responded more to the contributions of sources such as dust than levels of sulfate. Commonly used pH indicator ratios were not indicative of the pH estimated using the thermodynamic model.

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Abstract. To quantify the total, direct and indirect impacts of fireworks individually, size-resolved PM samples were collected before, during and after a Chinese folk festival (Chinese New Year) in a megacity in China. Through chemical analysis and morphological characterisation, a strong influence of fireworks on the physicochemical characteristics of PM 10 and PM 2.5 was observed. The concentrations of many species exhibited an increasing trend during the heavy-firework period, especially for K + , Mg 2+ and Cr; the results of the non-sea-salt ions demonstrated an anthropogenic influence on K + and Mg 2+ . Then, source apportionment was conducted by receptor models and peak analysis (PA). The total influence of the fireworks was quantified by positive matrix factorisation (PMF), showing that the fireworks contributed higher fractions (23.40 % for PM 10 and 29.66 % for PM 2.5 ) during the heavy-firework period than during the light-firework period (4.28 % for PM 10 and 7.18 % for PM 2.5 ). The profiles of the total fireworks obtained by two independent methods (PMF and peak analysis) were consistent, with higher abundances of K + , Al, Si, Ca and organic carbon (OC). Finally, the individual contributions of the direct and indirect impacts of fireworks were quantified by chemical mass balance (CMB). The percentage contributions of resuspended dust, biomass combustion and direct fireworks were 36.8 ± 8.37 %, 14.1 ± 2.82 % and 44.4 ± 8.26 %, respectively, for PM 10 and 34.9 ± 4.19 %, 16.6 ± 3.05 % and 52.5 ± 9.69 %, respectively, for PM 2.5 , in terms of the total fireworks. The quantification of the total, direct and indirect impacts of fireworks in the ambient PM gives a original contribution for understanding the physicochemical characteristics and mechanisms of such high-intensity anthropogenic activities.

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In this study, PM 10 and PM 2.5 samples were obtained in a northern city in China. The 12-h averaged concentrations of particulate matter and species were analyzed. A PCA-MLR model was applied to identify the potential source categories and to estimate the source contributions for the PM 10 and PM 2.5 datasets. Five factors were extracted for the PM 10 samples, and their percentage contributions were estimated as follows: crustal dust-39.87%; vehicle exhaust-30.16%; secondary sulfate and nitrate-14.42%; metal emission source-6.77%; and residual oil combustion source-1.82%. Four factors were resolved for the PM 2.5 dataset, and their contributions were obtained: crustal dust-35.81%; vehicle exhaust-22.67%; secondary sulfate and nitrate-32.35%; and metal emission and residual oil combustion sources-4.57%. In addition, a Potential Source Contribution Function (PSCF) was used to investigate the possible locations of the major sources. The PSCF results showed that for each source category, PM 10 and PM 2.5 had similar potential source areas.

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