Characteristics and potential sources of black carbon particles in suburban Nanjing, China

Zhang, Lin; Shen, Fuzhen; Gao, Jiale; Cui, Shijie; Yue, Hao; Wang, Jun Feng; Chen, Mindong; Ge, Xinlei

doi:10.1016/j.apr.2020.02.011

Cited by 26 publications

(10 citation statements)

References 73 publications

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“…The highest average concentration of BC was observed in winter (3.65 ± 2.66 μg m −3 ) and followed by fall (1.72 ± 1.33 μg m −3 ), spring (1.53 ± 1.33 μg m −3 ), and summer (0.83 ± 0.56 μg m −3 ). Such a seasonal variation pattern is similar to the seasonal pattern observed in other sampling sites in different regions, such as Hefei [58], Nanjing [55], and Indian Delhi [27]. Although the ob- S1.…”

Section: Seasonal Variationssupporting

confidence: 83%

“…The highest average concentration of BC was observed in winter (3.65 ± 2.66 µg m −3 ) and followed by fall (1.72 ± 1.33 µg m −3 ), spring (1.53 ± 1.33 µg m −3 ), and summer (0.83 ± 0.56 µg m −3 ). Such a seasonal variation pattern is similar to the seasonal pattern observed in other sampling sites in different regions, such as Hefei [58], Nanjing [55], and Indian Delhi [27]. Although the observation sites in rural Qingdao and urban Shanghai are both coastal cities (both belong to the monsoon region), the seasonal pattern of BC in Shanghai [19] (winter > summer > spring > fall) is different from that in rural Qingdao.…”

Section: Seasonal Variationssupporting

confidence: 79%

“…The frequency diagram of the 5-min BC concentration distribution followed a typical lognormal distribution pattern (Figure S2a). The concentration (0.55 µg m −3 ) with the highest frequency can be regarded as the most representative under the atmospheric condition in the region [55]. These results indicated that the level of BC concentration in rural areas of Qingdao was at the middle level.…”

Section: Overview Of Bc Concentrationsmentioning

confidence: 74%

“…Compared with other rural areas, the average BC concentrations in rural Qingdao were much lower than those in Beijing of China [34] and Delhi of India [27] and slightly higher than those in Mahabaleshwar of India [18] and Byeongcheon of Korea [56]. BC concentrations in both urban areas [18,19,26,36,[57][58][59][60][61][62] and suburban areas [47,55] were higher than those in rural Qingdao areas. The BC concentrations in the remote background areas [24,63,64] were much lower than those in the rural areas of Qingdao.…”

Section: Overview Of Bc Concentrationsmentioning

confidence: 75%

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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

et al. 2021

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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 μg m−3. The highest average concentration of BC was observed in winter (3.65 ± 2.66 μg m−3), followed by fall (1.73 ± 1.33 μg m−3), spring (1.53 ± 1.33 μg m−3), and summer (0.83 ± 0.56 μg m−3). A clear weekend effect was observed in winter, which was characterized by higher BC concentration (4.60 ± 2.86 μg m−3) during the weekend rather than that (3.22 ± 2.45 μg 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 △BC/△CO 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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Section: Seasonal Variationssupporting

confidence: 83%

Section: Seasonal Variationssupporting

confidence: 79%

Section: Overview Of Bc Concentrationsmentioning

confidence: 74%

Section: Overview Of Bc Concentrationsmentioning

confidence: 75%

See 2 more Smart Citations

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

et al. 2021

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“…BC not only has adverse effects on human health, but also is the second most important factor affecting global warming after carbon dioxide (Jacobson 2001). BC occupies a large proportion in both PM 2.5 and PM 10 , and is one of the important components of atmospheric particulate pollutants (Zhang et al 2020;Liu et al 2019). Jing et al found that the concentrations of PM 2.5 and BC in the suburbs of Beijing showed obvious diurnal variations (Jing et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Black Carbon Exposure Level And Health Economic Loss In China

Hou¹,

An²,

Sun³

et al. 2021

Preprint

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Based on GIS (Geographic Information System) software, applied the black carbon (BC)and fine particulate matter (PM2.5)concentration ratio method, this paper analyzed and calculated the national BC concentration distribution from 2015 to 2017, and evaluated the national human exposure of BC. The results show that from 2015 to 2017, 2/3 of the national land and nearly half of the population were exposed to the concentration range of 1-3 ug/m3, and the area and population exposed to the concentration below 2 ug/m3 increased year by year, while the area and population exposed to the concentration above 9 ug/m3 decreased year by year. The estimated results of economic loss show that 77.3% of the targeted districts or counties claimed a loss per square kilometer of 50 million RMB or less From the perspective of annual changes, districts and counties in Beijing-Tianjin-Hebei and Hunan with annual losses between 50 and 500 million RMB show an increasing trend. Meanwhile, the BC ratio (the proportion of black carbon economic loss to GDP) of Beijing-Tianjin-Hebei and Hunan also shows an increasing trend year by year.

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Mobile monitoring and spatial prediction of black carbon in Cairo, Egypt

Talaat

Hatzopoulou

et al. 2021

Environ Monit Assess

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Characteristics and potential sources of black carbon particles in suburban Nanjing, China

Cited by 26 publications

References 73 publications

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

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

Assessment of Black Carbon Exposure Level And Health Economic Loss In China

Mobile monitoring and spatial prediction of black carbon in Cairo, Egypt

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