Quantification of secondary particle loading during a heavy air pollution event in Beijing: A simplified method based on coal emission indicators

Ouyang, Jun; Song, Lijuan; Ma, Lingling; Luo, Min; Dai, Xiongxin; Zhang, Jintao; Xu, Dong

doi:10.1016/j.atmosenv.2019.116896

Cited by 9 publications

(6 citation statements)

References 57 publications

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“…However, Beijing gradually changed its management style by adjusting the energy structure. Coal use, with its high pollution intensity [21][22][23][24], was gradually decreased as a proportion of total energy use from 22.1% in 2012 to 4.8% in 2017, essentially achieving coal-free status. In contrast, clean energy use, such as natural gas, amounted to 29.4% of total energy use in 2017.…”

Section: Development Of Economics and Society In Beijingmentioning

confidence: 99%

Environmental Effective Assessment of Control Measures Implemented by Clean Air Action Plan (2013–2017) in Beijing, China

et al. 2020

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The Beijing government initiated the Clean Air Action Plan (CAAP) in 2013. Through a series of actions to control air pollution, the emissions of major atmospheric pollutants are reduced to improve urban air quality. In order to evaluate the effectiveness of control measures taken to mitigate atmospheric pollution, we investigated and analyzed the implementation of the CAAP in Beijing from 2013 to 2017, estimating the corresponding reduction in emissions of major air pollutants. The contribution of different control measures to the improvement of air quality was quantified and the experiences of managing air pollution were summarized, which provided references for the continuous improvement of air quality in Beijing and the surrounding areas. The results showed that the emission of SO 2 , NO X , PM 10 , PM 2.5 , and VOCs from air pollution source have been decreased by 119,924, 116,091, 116,810, 46,652, and 97,267 tons after the implementation of the CAAP. The sum of these five air pollutants emissions have been reduced by 39% in 2017 compared with 2013, the largest decrease in SO 2 emissions was 87%, which was related to the vigorous control on coal-fired combustion. The control measure with the greatest contribution to decreasing the ambient PM 2.5 concentration was the clean energy transformation of coal-fired power plants, which contributed 27% of the total reduced concentration and 6.1 µg/m 3 of the average PM 2.5 concentration reduction in Beijing. Clean Residential coal use also significantly decreased the PM 2.5 concentration by 5.4 µg/m 3 , which was 23% of the total reduction. In addition, the industrial restructuring and the management of automotive vehicle use and dust could also contribute to efficiently reducing the PM 2.5 concentration by 4.0, 3.2, and 2.3 µg/m 3 , or 17%, 14%, and 10% of the total reduction, respectively. Due to the implementation of control measures of Clean Air Action Plan, the energy and industrial structure of Beijing have been adjusted and optimized, leading to the reduction of pollutant emissions, which is the secret of urban long-term air quality improvement.

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Section: Development Of Economics and Society In Beijingmentioning

confidence: 99%

Environmental Effective Assessment of Control Measures Implemented by Clean Air Action Plan (2013–2017) in Beijing, China

et al. 2020

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“…In addition, the fractions of BC, Cl − , and TE in PM 2.5 were lower in Beijing than those in the other two cities, which can be explained by the stricter local control policies on solid fuel combustion and tightening of industrial emission standards in and near the capital city of China (J. Pang et al, 2021).…”

Section: Characteristics Of Pm 25 and Its Chemical Componentsmentioning

confidence: 96%

“…These suggest that controls of solid fuel combustion are critical to reducing PM 2.5 pollution in these cities. In contrast, the contribution of secondary formation sources to PM 2.5 in Beijing was highly dominant (> 50 %), potentially attributed to the strict control of primary emissions under the execution of a series of pollution control policies (Lv et al, 2016;Pang et al, 2021) and more regional transportation of secondary pollutants (Liu et al, 2019;Wang and Zhao, 2018). Among the primary sources, the contributions of biomass burning and vehicle emissions were only 18.4 % and 11.3 %, respectively, further reflecting the benefits of reductions in all primary emissions.…”

Section: Source Apportionment Of Pm 25mentioning

confidence: 99%

“…Compared to traditional offline filter-based approaches, online methods characterize the short-time variation in PM 2.5 . This allows the rapid changes in and evolutions of chemical components to be distinguished and is particularly beneficial for the purpose of gaining knowledge about the formations of heavy air pollution (Liu et al, 2016;Ouyang et al, 2019;Zheng et al, 2016;Elser et al, 2016). For instance, Lv et al (2021) employed a positive matrix factorization (PMF) model with high-timeresolution online PM 2.5 data to accurately quantify and distinguish the source distributions in Beijing during two haze episodes in January 2019.…”

Section: Introductionmentioning

confidence: 99%

“…Beijing is the capital of China, and its air quality has significantly improved under the implementation of the strictest clean-air policy since 2013 (J. Pang et al, 2021;Vu et al, 2019;Zhang et al, 2020). However, the city is still plagued by pollution events in wintertime (Wang et al, 2020b;Zhou et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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High-time-resolution chemical composition and source apportionment of PM_2.5 in northern Chinese cities: implications for policy

Zhang,

Tian,

Wang

et al. 2023

Atmos. Chem. Phys.

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Abstract. Fine particulate matter (PM2.5) pollution is still one of China's most important environmental issues, especially in northern cities during wintertime. In this study, intensive real-time measurement campaigns were conducted in Xi'an, Shijiazhuang, and Beijing to investigate the chemical characteristics and source contributions of PM2.5 and explore the formation of heavy pollution for policy implications. The chemical compositions of PM2.5 in the three cities were all dominated by organic aerosol (OA) and nitrate (NO3-). Results of source apportionment analyzed by a hybrid environmental receptor model (HERM) showed that the secondary formation source contributed more to PM2.5 compared to other primary sources. Biomass burning was the dominant primary source in the three pilot cities. The contribution of coal combustion to PM2.5 is non-negligible in Xi'an and Shijiazhuang but is no longer an important contributor in the capital city of Beijing due to the execution of a strict coal-banning policy. The potential formation mechanisms of secondary aerosol in the three cities were further explored by establishing the correlations between the secondary formation sources and aerosol liquid water content (ALWC) and Ox (O3+NO2), respectively. The results showed that photochemical oxidation and aqueous-phase reaction were two important pathways of secondary aerosol formation. According to source variations, air pollution events that occurred in campaigns were classified into three types: biomass-combustion-dominated, secondary-formation-source-dominated, and a combination of primary and secondary sources. Additionally, this study compares the changes in chemical composition and source contributions of PM2.5 in past decades. The results suggest that the clean-energy replacements for rural households should be urgently encouraged to reduce the primary source emissions in northern China, and collaborative control on ozone and particulate matter needs to be continuously promoted to weaken the atmosphere oxidation capacity for the sake of reducing secondary aerosol formation.

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Exposure to Source-Specific Particulate Matter and Health Effects: a Review of Epidemiological Studies

Jia

Wang

et al. 2022

Curr Pollution Rep

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Quantification of secondary particle loading during a heavy air pollution event in Beijing: A simplified method based on coal emission indicators

Cited by 9 publications

References 57 publications

Environmental Effective Assessment of Control Measures Implemented by Clean Air Action Plan (2013–2017) in Beijing, China

Environmental Effective Assessment of Control Measures Implemented by Clean Air Action Plan (2013–2017) in Beijing, China

High-time-resolution chemical composition and source apportionment of PM_2.5 in northern Chinese cities: implications for policy

Exposure to Source-Specific Particulate Matter and Health Effects: a Review of Epidemiological Studies

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Quantification of secondary particle loading during a heavy air pollution event in Beijing: A simplified method based on coal emission indicators

Cited by 9 publications

References 57 publications

Environmental Effective Assessment of Control Measures Implemented by Clean Air Action Plan (2013–2017) in Beijing, China

Environmental Effective Assessment of Control Measures Implemented by Clean Air Action Plan (2013–2017) in Beijing, China

High-time-resolution chemical composition and source apportionment of PM2.5 in northern Chinese cities: implications for policy

Exposure to Source-Specific Particulate Matter and Health Effects: a Review of Epidemiological Studies

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High-time-resolution chemical composition and source apportionment of PM_2.5 in northern Chinese cities: implications for policy