Relationship between atmospheric pollution and polycyclic aromatic hydrocarbons in fresh snow during heavy pollution episodes in a cold city, northeast China

Sun, Li; Yao, Xiaohong; An, Q.; Yakovleva, E. V.; Zhang, Lijuan; Sun, Huajie; Zhang, Ke; Zang, Shuying

doi:10.1016/j.ecoenv.2023.115091

Cited by 5 publications

(4 citation statements)

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“…However, significant concurrent decrease in PM 2.5 concentrations were found at global, continental, and national scales in the corresponding period (He et al, 2021). An important reason for this could be possibly due to more PM 2.5 were generated under adverse meteorological conditions since NO 2 and SO 2 are the key precursors of secondary PM 2.5 (Sun et al, 2023). It is worth noting that O 3 concentrations exhibited a significant increase by 23% during COVID-19 (p < 0.05).…”

Section: Changes In Atmospheric Pollutant Concentrationsmentioning

confidence: 99%

“…Heavy air pollution has occurred frequently in the past few years in Northeast China especially during winters, which was distinct from other regions in China because of increased levels of coal and biomass combustion during the heating season, particular geographical condition, and adverse meteorological conditions (Sun et al, 2020;Jia et al, 2023;Sun et al, 2023). The range of the AQI values in Harbin throughout the 2020 was 19-500 (Figure 4), with a variation coefficient of 81.1%, indicating strong variability and a large difference in air quality at different times due to natural and human factors.…”

Section: Pollution Types and Causes Of Typical Pollution Eventsmentioning

confidence: 99%

“…These events were categorized as follows: January 1-9 (Event I), January 10-20 (Event II), January 25-February 1 (Event III), February 7-12 (Event IV), March 1-7 (Event V), and April 13-19 (Event VI). The historical characteristic radar chart has been extensively used for identifying the main pollution types (Li et al, 2020;Sun et al, 2023). For the current study, two typical atmospheric pollution types were identified, i.e., SO 2 dominant pollution type and PM 2.5 dominant pollution type (Figure 5), and the impacts of meteorology conditions and human activities on the pollution types were further discussed.…”

Section: Pollution Types and Causes Of Typical Pollution Eventsmentioning

confidence: 99%

“…Harbin is a cold metropolis, which is a provincial capital city that is located at the highest latitude and experiences the lowest temperature in China. As a heavily industrialized and agricultural city, it has significant atmospheric pollution due to its large population and history as a former industrial base in northeast China (Sun et al, 2023). In response to the severe air pollution, China has been actively implementing the Atmospheric Pollution Prevention and Control Action Plan (APPCAP) since 2013, significantly reducing the concentration of particulate matter (PM) pollution and effectively alleviating long-term haze conditions (Wang et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Attributions of emission-reduction and meteorological conditions to typical heavy pollution episodes in a cold metropolis, northeast China

Li,

Sun,

Yao

et al. 2023

Front. Environ. Sci.

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Heavy pollution episodes frequently occurred in winter in northeast China due to the multiple anthropogenic emissions coupled with adverse meteorological conditions, which increased the difficulty of environmental pollution control. To better enact strategies for mitigating air pollution in the post-pandemic era, daily pollutant concentration monitoring and meteorological data were used to evaluate the changes and meteorological factors of air pollutants before (2019) and during (2020) the lockdown in Harbin City, northeast China. Moreover, typical pollution episodes under COVID-19 lockdown were identified, and their emission sources, meteorology conditions, and regional pollution transportation were analyzed. The results showed significant decreases in NO2, PM10 and CO, while O3 increased, and no differences in PM2.5 and SO2 during the lockdown compared with non-lockdown periods. It indicated that reduced activities of transportation resulted in reductions of NO2 concentrations by 16%, and stationary emission sources were less affected. Correlation between PM2.5 and O3 tended to change from positive to negative as the threshold of PM2.5 = 90 μg m−3, with the main controlling factor changed from their common gaseous precursors to meteorological conditions (temperature <0°C and wind speed <2 m s−1). Pollution days were concentrated in the COVID-19 lockdown period with PM2.5 as the primary pollutant. SO2 dominant pollution and PM2.5 dominant pollution were distinguished from six sustained heavy pollution events. PM2.5 and SO2 played essential roles in SO2 dominant pollution, which derived from local emissions of coal combustion and firework discharge. PM2.5 dominant pollution might be chemical transformed from coal burning, vehicle exhaust, and other secondary precursors, which was affected and aggravated by CO, NO2, high relative humidity and low wind speed affected by local emission and long-distance transport.

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Section: Changes In Atmospheric Pollutant Concentrationsmentioning

confidence: 99%

Section: Pollution Types and Causes Of Typical Pollution Eventsmentioning

confidence: 99%

Section: Pollution Types and Causes Of Typical Pollution Eventsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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