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8 μm), the aerosols in the accumulation mode were more hygroscopic and aerosols in the Aitken mode were less hygroscopic, with coarse mode aerosols being the least hygroscopic. During the polluted period, the particulate size notably increased, and the mass fraction of NO3- and SO42- in the accumulation mode aerosols was significantly higher than during the clean period. Accordingly, the hygroscopicity of accumulation mode aerosols was strongly enhanced during the polluted period[gκ(RH)=1.3-1.4] and aerosols in the 0.18-3.1 μm size range all had a strong hygroscopicity. On polluted days, the synergistic effect of the increase in particle size, water-soluble ions, and aerosol hygroscopicity results in the considerable deterioration of visibility.From November 16 to 28 2018, water-soluble ions in particulate matter and some trace gases in Nanjing City were observed using the online gas composition and aerosol monitoring system MARGA ADI 2080. Combined with meteorological elements and sounding data, the distribution characteristics and day-night differences of pollutants and water-soluble ions during haze, fog, clear, and precipitation processes were analyzed. The results show that the average concentration of PM2.5 varied from 26.9μg·m-3 (precipitation) to 96.4μg·m-3 (haze) while total water-soluble ions varied between 23.7μg·m-3 (precipitation) and 89.7μg·m-3 (haze). The ranked order of ion concentrations was NO3- > NH4+ > SO42- > Cl- > K+ > Ca2+ > Na+ > Mg2+ during haze and fog events, and NO3- > SO42- > NH4+ > Cl- > Ca2+ > K+ > Na+ > Mg2+ during clear weather and precipitation period. The diurnal distributions of water-soluble ions were quite different under the four conditions, although SO42-, NO3-, and NH4+(SNA) were ranked haze > fog > clear > precipitation for both day and night periods. According to the PMF source analysis, secondary sources were the main factors affecting haze; secondary sources, sea salt, and combustion sources were the main pollution sources to foggy conditions; and the removal effect of precipitation on coal-fired sources and secondary sources was more notable than during clear conditions.In order to study the distribution and optical characteristics of fine particulate matter pollution in the Yangtze River Delta, PM2.5 samples were collected and analyzed from city (Suzhou), suburb (Nanjing), and regional background monitoring stations (Lin'an). The average concentrations of PM2.5 in Suzhou, Nanjing, and Lin'an were (169.8±56.5), (169.9±51.2), and (154.0±54.9) μg·m-3, respectively. There was little difference in meteorological conditions and the chemical composition of PM2.5 among the three sites, and PM2.5 pollution showed significant synchronization and regionalization characteristics. click here The extinction coefficients estimated using a chemical component method for Suzhou, Nanjing, and Lin'an are (561±223), (655±340), and (679±349) Mm-1, respectively. There is strong correlation between the extinction coefficients estimated by the chemical component method and those estimated by a visibility-based method (r 0.73-0.80). Using a PMF model to analyze the PM2.5 sources, secondary nitrate sources (32%) and secondary sulfate sources (25%) accounted for the largest proportions followed by biomass combustion (16%), incomplete combustion (7%), fuel combustion (7%), soil crusts (8%), and marine sources (5%). The primary sources of the extinction coefficients of PM2.5 are secondary nitrate and sulfate sources, incomplete combustion, and biomass combustion. Compared with the source contribution of mass concentrations, the proportion of secondary nitrate and sulfate sources decreased by approximately 4% and the proportion of the incomplete combustion source increased by 5%. These results show that there are differences in the contributions of various PM2.5 source according to mass concentrations and extinction coefficients.Twenty-one air quality monitoring stations including four with single particle aerosol mass spectrometers (SPAMS) were used to observe air quality and aerosol particulates during the 2020 Spring Festival (from January 21 to 28) in Guangzhou. The effect of burning fireworks on the atmosphere of Guangzhou and its eleven administrative regions was examined, and the chemical composition of firework particles was detected and analyzed by single particle aerosol mass spectrometry. The results show that the burning of fireworks had a significant impact on air quality in the discharge area and the prohibited discharge area. The concentrations of PM2.5, PM10, and SO2 sharply increased in Guangzhou on New Year's Eve. Air quality in Zengcheng District, Baiyun District, Huangpu District, and some areas of Tianhe District was also affected by the concentrated burning of fireworks on January 25 between 0100 and 0600. A method of fireworks tracing based on SPAMS using Al+ as a tracer was established with a time resolution of 5 min. The main particle types emitted by the burning fireworks were levoglucan, potassium-rich, and mineral. These particles were well mixed with nitrate, but this was not conducive to the formation of ammonium.Based on atmospheric monitoring data and the WRF-CAMx model, this study analyzed the characteristics of air pollution and performed a quantitative assessment of PM2.5 cross-border transport in the Beijing-Tianjin-Hebei (BTH) region in January 2016. The results showed that the average concentrations of PM2.5, PM10, SO2, NO2, and CO were 89.5 μg·m-3, 135.61μg·m-3, 57.55μg·m-3, 60.79μg·m-3, and 2.12 mg·m-3, respectively, indicating severe PM2.5 pollution. During the study period, surface-level PM2.5 in each city of BTH region was dominated by local emissions, which accounted for 45.4% to 69.9%. The regional transport contribution was supplemented by transport from within and outside of the BTH region, accounting for 4.8% to 49.7% and 4.9% to 29.6%, respectively. In addition, high wind speeds promoted the diffusion of local PM2.5 pollution and cities with high upwind pollution enhance regional-scale transport to downwind cities. The total inflow, outflow, and net flux of PM2.5 in Beijing (Shijiazhuang) in January 2016 were 1582.
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