Spatiotemporal distribution of ground-level ozone in China at a city level

Gao, Yang; Liu, Yuhong; Li, Xianneng

doi:10.1038/s41598-020-64111-3

Cited by 83 publications

(47 citation statements)

References 59 publications

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“…As presented in Fig. 4 a, all of the three megacities with relatively high industry and traffic emissions are located at VOCs-limited regime, consistent with previous results ( Yang et al, 2020 ). With the NOx reduction during COVID-lock period, the O 3 chemistry moves to NO x -limited/mixed sensitive regime which leads to an increase in O 3, consistent with the phenomenon observed in the three cities.…”

Section: Resultssupporting

confidence: 90%

Nonlinear response of nitrate to NOx reduction in China during the COVID-19 pandemic

Ren

Huang

Wang

et al. 2021

Atmospheric Environment

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In recent years, nitrate plays an increasingly important role in haze pollution and strict emission control seems ineffective in reducing nitrate pollution in China. In this study, observations of gaseous and particulate pollutants during the COVID-19 lockdown, as well as numerical modelling were integrated to explore the underlying causes of the nonlinear response of nitrate mitigation to nitric oxides (NO x ) reduction. We found that, due to less NO x titration effect and the transition of ozone (O 3 ) formation regime caused by NO x emissions reduction, a significant increase of O 3 (by ∼ 69%) was observed during the lockdown period, leading to higher atmospheric oxidizing capacity and facilitating the conversion from NO x to oxidation products like nitric acid (HNO 3 ). It is proven by the fact that 26–61% reduction of NO x emissions only lowered surface HNO 3 by 2–3% in Hebi and Nanjing, eastern China. In addition, ammonia concentration in Hebi and Nanjing increased by 10% and 40% during the lockdown, respectively. Model results suggested that the increasing ammonia can promote the gas-particle partition and thus enhance the nitrate formation by up to 20%. The enhanced atmospheric oxidizing capacity together with increasing ammonia availability jointly promotes the nitrate formation, thereby partly offsetting the drop of NO x . This work sheds more lights on the side effects of a sharp NO x reduction and highlights the importance of a coordinated control strategy.

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Section: Resultssupporting

confidence: 90%

Nonlinear response of nitrate to NOx reduction in China during the COVID-19 pandemic

Ren

Huang

Wang

et al. 2021

Atmospheric Environment

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“…As fine particulate matter (PM 2.5 ) concentration is decreasing due to strict control measures ( Geng et al, 2019 ; Zhang et al, 2018 ), ozone (O 3 ) concentration has an increasing trend ( Chen et al, 2019 ; Wang et al, 2018 ), especially in populated and economically vibrant regions such as the Yangtze River Delta (YRD) ( Ding et al, 2013 ; Shao et al, 2016 ; Xu et al, 2017 ). In recent years, the highest hourly O 3 frequently exceeded 160 μg/ m 3 in the YRD ( Li et al, 2019 ; Wang et al, 2019 ; Yang et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Enhanced atmospheric oxidation capacity and associated ozone increases during COVID-19 lockdown in the Yangtze River Delta

Wang

Zhu

et al. 2021

Science of The Total Environment

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“…As a result, the near-surface atmospheric O 3 concentrations and the number of days exceeding the standard have shown a significant upward trend in the past three years (Cheng et al, 2017;Zhang and Zhang, 2019). Therefore, factors of influencing O 3 formation and spatiotemporal distribution of O 3 concentration need to be better understood to take measures for O 3 control (Cheng et al, 2018;Yang et al, 2020;Zhao et al, 2020). However, the spatiotemporal dynamics and influencing factors of near-surface O 3 concentration in Beijing are not clear.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Changes of Near-Surface Ozone Concentration From 2015 to 2018 in Beijing

Xie¹,

Shi

et al. 2021

Front. Environ. Sci.

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In this study, we investigated the spatiotemporal changes of near-surface O3 concentration based on 33 automatic air quality monitoring stations in Beijing in 2015 and 2018. Here we show that the diurnal variations for O3 concentration at 33 monitoring stations exhibited a single-peak mode with a minimum concentration from 06:00 to 07:00 and a maximum value from 14:00 to 15:00. We find that the O3 concentration was significantly positively correlated with the air temperature, solar total radiation, and wind speed, while it was negatively correlated with the relative humidity. Among those factors, the air temperature played the most important role in influencing O3 concentration (relative contribution is greater than 88% in the boosted regression trees model). We also present that the annual variation of O3 concentration at all stations tended to be a “bell-shaped” curve distribution with a peak in summer and the lowest value in winter. The annual averaged O3 concentration at 33 stations in Beijing was 57.5 ± 9.8 μg⋅m−3 in 2015 and 60.3 ± 9.0 μg⋅m−3 in 2018. In addition, we detect that the annual averaged value of the O3 concentration was lower in the central and southern Beijing, and higher in the northern Beijing both in 2015 and 2018. The spatial difference of the O3 concentration could be explained by the traffic pollution, vegetation coverage, atmospheric regional transmission, and atmospheric particulate matter concentration.

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Spatiotemporal distribution of ground-level ozone in China at a city level

Cited by 83 publications

References 59 publications

Nonlinear response of nitrate to NOx reduction in China during the COVID-19 pandemic

Nonlinear response of nitrate to NOx reduction in China during the COVID-19 pandemic

Enhanced atmospheric oxidation capacity and associated ozone increases during COVID-19 lockdown in the Yangtze River Delta

Spatiotemporal Changes of Near-Surface Ozone Concentration From 2015 to 2018 in Beijing

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