Pollution sources of atmospheric fine particles and secondary aerosol characteristics in Beijing

Xi, Zhang; Zhang, Kai; Liu, Huiping; Lv, Wenli; Aikawa, Masahide; Liu, Bing; Wang, Jinhe

doi:10.1016/j.jes.2020.04.002

Cited by 19 publications

(12 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cluster analysis takes the study area as the starting point, and pushes back the airflow at a height of 500m above the ground every 1 hour to obtain multiple airflow trajectories and analyze the clusters. Then the cluster analysis and Concentration Weighted Trajectory (CWT) analysis were performed in this study to investigate the transport pathways and potential sources of PM 2.5 [34][35][36][37][38]. The calculation formula is as follows:…”

Section: Backward Trajectory and Potential Source Analysismentioning

confidence: 99%

Analysis on the Influence and Cause of a Heavy Pollution Process on Air Quality in Baoding during COVID-19

Li¹,

Zhang²,

Zhang³

et al. 2021

Pol. J. Environ. Stud.

Self Cite

View full text Add to dashboard Cite

According to the rapid development of the economy with substantial energy consumption in past decades, China is suffering severe air pollution [1-6]. To improve air quality, Chinese government published and implemented the Air Pollution Prevention and Control Action Plan in September 2013 [7,8]. One of the important goals in this plan is that the concentrations of fine particulate matter (PM 2.5 ) in Jing-Jin-Ji shall decrease by 25.

show abstract

Section: Backward Trajectory and Potential Source Analysismentioning

confidence: 99%

Analysis on the Influence and Cause of a Heavy Pollution Process on Air Quality in Baoding during COVID-19

Li¹,

Zhang²,

Zhang³

et al. 2021

Pol. J. Environ. Stud.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Most of the particles in highly populated urban areas originate from local emissions, including ground transportation, cooking, coal and biomass burning, leading to significant production of carbonaceous particles, including organic compounds and elemental carbon, as well as inorganic salts. Apart from local emissions, regional transportation also contributes significantly to urban particle population under appropriate meteorology conditions, during which aging can significantly modify particle physicochemical properties, such as chemical composition, morphology, and mixing state (Lin et al, 2016;Sun et al, 2016;Hua et al, 2018;Zhang et al, 2020b;Lei et al, 2021;Li et al, 2021). Previous studies have confirmed that several kinds of atmospheric particles, including mineral dusts, carbonaceous particles, and biogenic species, can act as immersion INP and catalyze ice crystal formation below 0 °C (Murray et al, 2012;Kanji et al, 2017 and references therein).…”

Section: Introductionmentioning

confidence: 99%

Ice nucleating particles from multiple aerosol sources in the urban environment under mixed-phase cloud conditions

Zhang

Chen

et al. 2022

Preprint

View full text Add to dashboard Cite

Abstract. Ice crystals occurring in mixed-phase clouds play a vital role in global precipitation and energy balance because of the unstable equilibrium between co-existent liquid droplets and ice crystals, which affects cloud lifetime and radiative properties, as well as precipitation formation. Satellite observations proved that immersion freezing, i.e., ice formation on particles immersed within aqueous droplets, is the dominant ice nucleation (IN) pathway in mixed-phase clouds. However, the impact of anthropogenic emission on atmospheric IN in the urban environment remains ambiguous. In this study, we present in situ observations of ambient ice nucleating particle number concentration (NINP) measured at mixed-phase cloud conditions (−30 °C, relative humidity with respect to liquid water RHw = 104 %) and the physicochemical properties of ambient aerosol, including chemical composition and size distribution, at an urban site in Beijing during the traditional Chinese Spring Festival. The impact of multiple aerosol sources such as firework emissions, local traffic emissions, mineral dust and urban secondary aerosols on NINP is investigated. The results show that NINP during the dust event reaches up to 160 # L−1, with an activation fraction (AF) of 0.0036 % ± 0.0011 %. During the rest of the observation, NINP is on the order of 10−1 to 10 # L−1, with an average AF between 0.0001 to 0.0002 %. No obvious dependence of NINP on the number concentration of particles larger than 500 nm (N500) or black carbon (BC) mass concentration (mBC) is found throughout the field observation. The results indicate that mineral dust dominates NINP, although the observation took place at an urban site with high background aerosol concentration. Meanwhile, the presence of atmospheric BC from firework and traffic emissions, along with urban aerosols formed via secondary transformation during heavily polluted periods do not influence the observed INP concentration. Our study corroborates previous laboratory and field findings that anthropogenic BC emission has a negligible effect on NINP, and that NINP is unaffected by heavy pollution in the urban environment under mixed-phase cloud conditions.

show abstract

“…Ambient particulate matter pollution, especially particulate matter with a diameter of 2.5 µm or less (PM 2.5 ) pollution, is one of the most serious environmental problems to be addressed worldwide (Kasimov et al, 2020 ; Onishi et al, 2012 ; Zhang et al, 2020 ). The data from the Global Burden of Diseases Study have shown that long-term exposure to ambient PM 2.5 was ranked fifth among the risk factors contributing to global deaths in 2015 (Cohen et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Pollution characteristics and human health risks of PM2.5-bound heavy metals: a 3-year observation in Suzhou, China

Zhou¹,

Xie²,

Zhao³

et al. 2023

Environ Geochem Health

View full text Add to dashboard Cite

This study aimed to analyze the temporal trends, pollution levels, and health risks associated with eleven PM 2.5 -bound heavy metals (Sb, Al, As, Hg, Cd, Cr, Mn, Ni, Pb, Se and Tl). A total of 504 PM 2.5 samples were collected in Suzhou from January 2019 to December 2021. The pollution levels were estimated based on enrichment factors (EFs) which can be used to calculate the enrichment of heavy metals in PM 2.5 and determine whether the concentrations of PM 2.5 -bound heavy metals are influenced by the crustal or anthropogenic sources, and the health risk of PM 2.5 -bound heavy metals via inhalation was assessed following US EPA’s Risk Assessment Guidance for Superfund (RAGS). The annual average concentration of PM 2.5 was 46.76 μg m −3 , which was higher than the WHO recommended limit of 5 μg m −3 . The average of the sum of eleven PM 2.5 -bound heavy metals was 180.61 ng m −3 , dominated by Al, Mn, and Pb. The concentration of PM 2.5 in 2020 was significantly lower than that in 2019 and 2021. The PM 2.5 and PM 2.5 -bound heavy metal concentrations in winter and spring were significantly higher than those in autumn and summer. The EF of As, Cr, Cd, Hg, Ni, Pb, Sb, Mn, Se, and Tl was higher than 10, indicating they were mainly from anthropogenic sources. Exposure to a single non-carcinogenic heavy metal via inhalation was unlikely to cause non-carcinogenic effects (HQ < 1), but the integrated non-carcinogenic risks should be taken seriously (HI > 1). The cumulative carcinogenic risks from the carcinogenic elements were exceeding the lower limit (1 × 10 −6 ) of the acceptable risk range. The carcinogenic risks of As and Cr(VI) contributed 60.98% and 26.77%, respectively, which were regarded as two key carcinogenic risk factors. Overall, the government policies and countermeasures for the PM 2.5 pollution control should be performed not only based on the PM 2.5 concentration but also based on the PM 2.5 -bound heavy metals and their health risks for the local residents.

show abstract

Pollution sources of atmospheric fine particles and secondary aerosol characteristics in Beijing

Cited by 19 publications

References 52 publications

Analysis on the Influence and Cause of a Heavy Pollution Process on Air Quality in Baoding during COVID-19

Analysis on the Influence and Cause of a Heavy Pollution Process on Air Quality in Baoding during COVID-19

Ice nucleating particles from multiple aerosol sources in the urban environment under mixed-phase cloud conditions

Pollution characteristics and human health risks of PM2.5-bound heavy metals: a 3-year observation in Suzhou, China

Contact Info

Product

Resources

About