2021
DOI: 10.5194/acp-21-7039-2021
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Enhancement of nanoparticle formation and growth during the COVID-19 lockdown period in urban Beijing

Abstract: Abstract. Influenced by the spread of the global 2019 novel coronavirus (COVID-19) pandemic, primary emissions of particles and precursors associated with anthropogenic activities decreased significantly in China during the Chinese New Year of 2020 and the lockdown period (24 January–16 February 2020). The 2-month measurements of the number size distribution of neutral particles and charged ions showed that during the lockdown (LCD) period, the number concentration of particles smaller than 100 nm decreased by… Show more

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Cited by 22 publications
(25 citation statements)
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References 46 publications
(52 reference statements)
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“…Figure 1b shows spatial distribution for NO 2 mass concentrations before and during LCD, we clearly observed that the highest concentrations of NO 2 are found in the north and the center (Casablanca, Rabat, and Marrakech), however we show that the level of NO 2 does not exceed limit value (40µg/m 3 ). During the LCD, NO 2 dropped dramatically in all the zone which is in agreement with all that is found by other studies in Europe (chauhan and Singh et al,2021), Asia (Shen et al, 2021) or America (Cazorla et al, 2021), the decrease in NO 2 during LCD is due to the reduction in road tra c which represents the main source of NO 2 . Moreover, we show also that the O 3 and NO 2 spatial distributions are inversely correlated which prove that the increase in O 3 during LCD is due to the reduction in its titration by NO 2 .…”
Section: Gams Modelsupporting
confidence: 91%
See 1 more Smart Citation
“…Figure 1b shows spatial distribution for NO 2 mass concentrations before and during LCD, we clearly observed that the highest concentrations of NO 2 are found in the north and the center (Casablanca, Rabat, and Marrakech), however we show that the level of NO 2 does not exceed limit value (40µg/m 3 ). During the LCD, NO 2 dropped dramatically in all the zone which is in agreement with all that is found by other studies in Europe (chauhan and Singh et al,2021), Asia (Shen et al, 2021) or America (Cazorla et al, 2021), the decrease in NO 2 during LCD is due to the reduction in road tra c which represents the main source of NO 2 . Moreover, we show also that the O 3 and NO 2 spatial distributions are inversely correlated which prove that the increase in O 3 during LCD is due to the reduction in its titration by NO 2 .…”
Section: Gams Modelsupporting
confidence: 91%
“…Besides, the industrial activities especially phosphate production has not been completely suspended. Some study also indicate an increase in PM accumulation mode by 20%, this was explained by improvement of nucleation and growth process during the LCD period, due to the higher formation rate of 2nm particles and the subsequent growth rate (Shen et al, 2021).…”
Section: Gams Modelmentioning
confidence: 96%
“…Enhanced NPF during the lockdown period has been reported (Shen et al, 2021b), but without a detailed explanation due to the lack of simultaneous measurements of both particles at the size where NPF starts (e.g., 1.5 nm) and key vapors for NPF, such as SA and OOMs. We fill that gap with comprehensive measurements from urban Beijing covering the lockdown period, enabling the investigation on how NPF responded to the emission reductions during lockdown on molecular and process levels.…”
Section: Introductionmentioning
confidence: 99%
“…Restrictions on population movement (lockdowns) worldwide led to arguably the most significant reduction of primary anthropogenic emissions in recent history. NOx concentrations declined on average by about 50 -60 % in several European, South American, Indian, and Chinese cities (Sicard et al, 2020;Krecl et al, 2020;Shi and Brasseur, 2020;Agarwal et al, 2020), and mixing ratios of other primary pollutants, such as black carbon (BC), carbon monoxide (CO), sulfur dioxide (SO2), and volatile organic compounds (VOCs) were also reduced in varying degrees (Bao and Zhang, 2020;Chu et al, 2021;Shen et al, 2021b;Xing et al, 2020;Pei et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
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