Meteorological and chemical impacts on PM2.5 during a haze episode in a heavily polluted basin city of eastern China

Bao, Zhier; Li, Kangwei; Han, Lixia; Wu, Xuecheng; Gao, Xiang; Azzi, Merched; Cen, Kefa

doi:10.1016/j.envpol.2019.04.045

Cited by 36 publications

(6 citation statements)

References 53 publications

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“…Based on observations of 169 cities carrying out air quality monitoring stations in China in 2018, 13 of 20 cities with the worst air quality in China belong to the BTH2+26 cities (MEE, 2018). PM 2.5 concentrations are closely associated with meteorological conditions and emissions (He et al, 2017;Bao et al, 2019;Ma et al, 2017;Zhang et al, 2019c, d). Huang et al (2017) suggested that the weather conditions (such as weak winds) during the 2nd Youth Olympic Games increased the mean PM 2.5 concentrations by 7.8% in Nanjing.…”

Section: Introductionmentioning

confidence: 99%

City-level air quality improvement in the Beijing-Tianjin-Hebei region from 2016/17 to 2017/18 heating seasons: Attributions and process analysis

Zhang

Xue

et al. 2021

Environmental Pollution

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Section: Introductionmentioning

confidence: 99%

City-level air quality improvement in the Beijing-Tianjin-Hebei region from 2016/17 to 2017/18 heating seasons: Attributions and process analysis

Zhang

Xue

et al. 2021

Environmental Pollution

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“…Before the lockdown, the high EC and Fe-rich particle counts and the low wind speed correlated more than other periods. New particle generation is more likely to occur in environments with low wind speeds (<2 m/s) and the local accumulation of aged particles are also highly related to low wind speed ( Bao et al, 2019 ; Jones et al, 2010 ; Kozawa et al, 2012 ). Before the lockdown, the high EC and Fe-rich particle counts and the low wind speed correlated more than other periods, which reflected that local emissions were the main sources of EC and Fe-rich particles at that time.…”

Section: Resultsmentioning

confidence: 99%

Unexpected rise of atmospheric secondary aerosols from biomass burning during the COVID-19 lockdown period in Hangzhou, China

Gao

Chen

et al. 2022

Atmospheric Environment

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“…In the study for Beijing, some similarity was found between the potential source areas and high concentration contribution areas in Beijing and the results for Northeast China; higher results values were also found in Shandong, Henan and Hebei [ 60 ]. In the study for the southern cities, the main potential source areas and high contribution areas were concentrated in the Yangtze River Delta region [ 61 ].…”

Section: Discussionmentioning

confidence: 99%

Spatial Characteristics and Regional Transmission Analysis of PM2.5 Pollution in Northeast China, 2016–2020

Fang

Wang

et al. 2021

IJERPH

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Northeast China is an essential industrial development base in China and the regional air quality is severely affected by PM2.5 pollution. In this paper, spatial autocorrelation, trajectory clustering, hotspot analysis, PSCF and CWT analysis are used to explore the spatial pollution characteristics of PM2.5 and determine the atmospheric regional transmission pattern for 40 cities in Northeast China from 2016 to 2020. Analysis of PM2.5 concentration characteristics in the northeast indicates that the annual average value and total exceedance days of PM2.5 concentration in Northeast China showed a U-shaped change, with the lowest annual average PM2.5 concentration (31 μg/m3) in 2018, decreasing by 12.1% year-on-year, and the hourly PM2.5 concentration exploding during the epidemic lockdown period in 2020. A stable PM2.5 pollution band emerges spatially from the southwest to Northeast China. Spatially, the PM2.5 in Northeast China has a high degree of autocorrelation and a south-hot–north-cool characteristic, with all hotspots concentrated in the most polluted Liaoning province, which exhibits the H–H cluster pattern and hotspot per year. Analysis of the air mass trajectories, potential source contributions and concentration weight trajectories in Northeast China indicates that more than 74% of the air mass trajectories were transmitted to each other between the three heavily polluted cities, with the highest mean value of PM2.5 pollution trajectories reaching 222.4 μg/m3, and the contribution of daily average PM2.5 concentrations exceeding 60 μg/m3 within Northeast China. Pollution of PM2.5 throughout the Northeast is mainly influenced by short-range intra-regional transport, with long-range transport between regions also being an essential factor; organized integration is the only fundamental solution to air pollution.

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Meteorological and chemical impacts on PM2.5 during a haze episode in a heavily polluted basin city of eastern China

Cited by 36 publications

References 53 publications

City-level air quality improvement in the Beijing-Tianjin-Hebei region from 2016/17 to 2017/18 heating seasons: Attributions and process analysis

City-level air quality improvement in the Beijing-Tianjin-Hebei region from 2016/17 to 2017/18 heating seasons: Attributions and process analysis

Unexpected rise of atmospheric secondary aerosols from biomass burning during the COVID-19 lockdown period in Hangzhou, China

Spatial Characteristics and Regional Transmission Analysis of PM2.5 Pollution in Northeast China, 2016–2020

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