4.5 Article

One-Year Real-Time Measurement of Black Carbon in the Rural Area of Qingdao, Northeastern China: Seasonal Variations, Meteorological Effects, and the COVID-19 Case Analysis

Journal

ATMOSPHERE
Volume 12, Issue 3, Pages -

Publisher

MDPI
DOI: 10.3390/atmos12030394

Keywords

black carbon; seasonal variations; meteorological effects; COVID-19; rural site; Qingdao

Funding

  1. National Natural Science Foundation of China (NSFC) [21777073]

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This study presents the results of real-time measurement of atmospheric black carbon (BC) in a rural environment in Qingdao, China, over a one-year period. It demonstrates seasonal variations in BC concentration and the impact of meteorological factors on BC levels.
In this paper, we report the results obtained from one year of real-time measurement (i.e., from December 2019 to November 2020) of atmospheric black carbon (BC) under a rural environment in Qingdao of Northeastern China. The annual average concentration of BC was 1.92 +/- 1.89 mu g m(-3). The highest average concentration of BC was observed in winter (3.65 +/- 2.66 mu g m(-3)), followed by fall (1.73 +/- 1.33 mu g m(-3)), spring (1.53 +/- 1.33 mu g m(-3)), and summer (0.83 +/- 0.56 mu g m(-3)). A clear weekend effect was observed in winter, which was characterized by higher BC concentration (4.60 +/- 2.86 mu g m(-3)) during the weekend rather than that (3.22 +/- 2.45 mu g m(-3)) during weekdays. The influence of meteorological parameters, including surface horizontal wind speed, boundary layer height (BLH), and precipitation, on BC, was investigated. In particular, such BLH influence presented evidently seasonal dependence, while there was no significant seasonality for horizontal wind speed. These may reflect different roles of atmospheric vertical dilution on affecting BC in different seasons. The oBC/oCO ratio decreased with the increase of precipitation, indicative of the influence of below-cloud wet removal of BC, especially during summertime where rainfall events more frequently occurred than any of other seasons. The bivariate-polar-plot analysis showed that the high BC concentrations were mainly associated with low wind speed in all seasons, highlighting an important BC source originated from local emissions. By using concentration-weighted trajectory analysis, it was found that regional transports, especially from northeastern in winter, could not be negligible for contributing to BC pollution in rural Qingdao. In the coronavirus disease 2019 (COVID-19) case analysis, we observed an obvious increase in the BC/NO2 ratio during the COVID-19 lockdown, supporting the significant non-traffic source sector (such as residential coal combustion) for BC in rural Qingdao.

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