Changes of chemical composition and source apportionment of PM2.5 during 2013–2017 in urban Handan, China

Zhao, Le; Wang, Litao; Tan, Jianwei; Duan, Jiali; Ma, Xiaoliang; Zhang, Chengyu; Ji, Shangping; Qi, Mengyao; Lu, Xiaohan; Wang, Yu; Wang, Qing; Xu, Ruiguang

doi:10.1016/j.atmosenv.2019.02.034

Cited by 54 publications

(49 citation statements)

References 63 publications

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“…In this study, the daily OC/EC ratio ranged from 1.8 to 5.7, with an average of 2.3 on good days, from 1.8 to 5.5, with an average of 2.3 on light pollution days, from 1.9 to 5.6, with an average of 2.5 on moderate pollution days, and from 1.9 to 2.8, with an average of 2.6 on heavy pollution days. The OC/EC ratios were higher on heavy pollution days than on other pollution days, and the same trends were found for K + and Cl − , showing that biomass burning, fossil fuel combustion, and vehicular emissions played a significant role in the high OC/EC ratios [59,60]. The anion and cation equivalents discussed in this study have strong correlations with the four pollution levels, as well as the major ions (NH4 + and NO3 − + SO4 2− ) ( Figure 5, Figure 6), demonstrating the reliability of the analytical results.…”

Section: Carbonaceous Aerosolssupporting

confidence: 60%

Chemical Compositions and Source Analysis of PM2.5 during Autumn and Winter in a Heavily Polluted City in China

et al. 2020

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As one of the biggest cities in North China, Jinan has been suffering heavy air pollution in recent decades. To better characterize the ambient particulate matter in Jinan during heavy pollution periods, we collected daily PM2.5 (particulate matter with aerodynamic diameters equal to or less than 2.5 μm) filter samples from 15 October 2017 to 31 January 2018 and analyzed their chemical compositions (including inorganic water-soluble ions (WSIs), carbonaceous species, and inorganic elements). The daily average concentration of PM2.5 was 83.5 μg/m3 during the sampling period. A meteorological analysis revealed that both low wind speed and high relative humidity facilitated the occurrence of high PM2.5 pollution episodes. A chemical analysis indicated that high concentrations of water-soluble ions, carbonaceous species, and elements were observed during heavy pollution days. The major constituents of PM2.5 in Jinan were secondary aerosol particles and organic matter based on the results of mass closure. Chemical Mass Balance (CMB) was used to track possible sources and identified that nitrate, sulfate, vehicle exhaust and coal fly ash were the main contributors to PM2.5 during heavy pollution days in Jinan, accounting for 25.4%, 18.6%, 18.2%, and 13.3%, respectively.

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Section: Carbonaceous Aerosolssupporting

confidence: 60%

Chemical Compositions and Source Analysis of PM2.5 during Autumn and Winter in a Heavily Polluted City in China

et al. 2020

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“…The concentration changes of Ss in PM are not exactly the same in surrounding cities after control measure implementation, but the general decreasing trend is similar for sulfate, such as a decrease of sulfate concentrations by 42.4% from 2013 to 2017 in Handan, 36 by 11.0% from winter 2013 to winter 2016 in Beijing, 16 and by 41.6% from winter 2016 to winter 2017 in cities along the Taihang Mountains. 27 The variation trends of nitrate, ammonium, and SOA in PM 2.5 were not consistent in each city, and they may increase in some cities.…”

Section: Discussionmentioning

confidence: 87%

Effects of Early Pollution Control Measures on Secondary Species of PM_2.5 in Jiaozuo, China

Tang

Song

et al. 2021

ACS Omega

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Various measures for reducing air pollution have been promulgated since 2013 in China. To investigate the synergistic results of emission control and meteorological environment, PM2.5 samples collected from October 2013 to July 2016 and November 2018 to October 2019 in Jiaozuo city were analyzed for their compositions, secondary species (Ss) variations, and factors changing for Ss formation. The results showed that the concentrations of sulfate, nitrate, ammonium, and secondary organic aerosols (SOAs) generally decreased over the same seasonal period during these years. In addition, the concentrations and proportions of each Ss increased with the increase in the PM2.5 level in these years, implying that although PM2.5 levels have been reduced by various control policies, Ss formation would remain the major contributor to PM elevations. The enhanced effects of gas-phase reactions on intensification of sulfate, SOA, and PM were observed in 2018–2019, which was consistent with the elevation of nitrate and SOA at PM levels of >150 μg/m3. Only sulfate in all PM levels sharply decreased after 2015, showing the fine effect of coal-related pollution control and the importance of collaborative control of NO x , volatile organic compounds, and organic aerosol emissions with SO2 emissions in the future.

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“…The air pollution problem has caused serious economic and health hazards to the Chinese people [3,4], and some scholars have estimated that the health loss from air pollution in Beijing alone is equivalent to 0.03% of the gross local economic output [5]. Therefore, the study of air pollution is very important, and scholars have studied the causes [6][7][8], spatial and temporal distribution characteristics [9][10][11], and influencing factors [12,13] of air pollution, respectively. The findings show that air pollution has significant spatial correlation characteristics [14,15], and air pollution in a certain region is influenced not only by certain factors within the region, but also by certain factors external to the zone [16,17].…”

Section: Introductionmentioning

confidence: 99%

Spatial Correlation of Air Pollution and Its Causes in Northeast China

Liu

Hao

2021

IJERPH

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To understand the status of air pollution in northeastern China, we explore the structure of air pollution transmission networks and propose targeted policy recommendations. Using air pollution data from 35 cities in northeastern China for a total of 879 periods from 6 January 2015 to 3 June 2017, this paper used social network analysis (SNA) to construct a spatial association network of air pollution in the region, and analyzed the spatial association of air pollution among cities and its causes in an attempt to reveal the transmission path of air pollution in the region. The results show that inter-city air pollution in northeast China forms a complex and stable correlation network with obvious seasonal differences of “high in winter and low in summer”. Different cities in the region play the roles of “spillover”, “intermediary” and “receiver” of air pollution in the network. Small respirable particulate (PM2.5) pollution constitutes a significant component of air pollution in northeast China, which spreads from Liaoning province to Heilongjiang province via Jilin province. Therefore, regional joint pollution prevention and control measures should be adopted to combat the air pollution problem, and different treatment measures should be developed for different city “roles” in the pollution network, in order to fundamentally solve the air pollution problem in the region.

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Changes of chemical composition and source apportionment of PM2.5 during 2013–2017 in urban Handan, China

Cited by 54 publications

References 63 publications

Chemical Compositions and Source Analysis of PM2.5 during Autumn and Winter in a Heavily Polluted City in China

Chemical Compositions and Source Analysis of PM2.5 during Autumn and Winter in a Heavily Polluted City in China

Effects of Early Pollution Control Measures on Secondary Species of PM_2.5 in Jiaozuo, China

Spatial Correlation of Air Pollution and Its Causes in Northeast China

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Changes of chemical composition and source apportionment of PM2.5 during 2013–2017 in urban Handan, China

Cited by 54 publications

References 63 publications

Chemical Compositions and Source Analysis of PM2.5 during Autumn and Winter in a Heavily Polluted City in China

Chemical Compositions and Source Analysis of PM2.5 during Autumn and Winter in a Heavily Polluted City in China

Effects of Early Pollution Control Measures on Secondary Species of PM2.5 in Jiaozuo, China

Spatial Correlation of Air Pollution and Its Causes in Northeast China

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Effects of Early Pollution Control Measures on Secondary Species of PM_2.5 in Jiaozuo, China