Tropospheric NO_2 and O_3 response to COVID-19 lockdown restrictions at the national and urban scales in Germany

Balamurugan, Vigneshkumar; Chen, Jia; Bi, Xiaojun; Qu, Zhen; Gensheimer, Johannes; Shekhar, Ankit; Bhattacharjee, Shrutilipi; Keutsch, Frank N.

doi:10.1002/essoar.10506760.1

Cited by 2 publications

(3 citation statements)

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“…Specifically, the emergence of COVID‐19 led to government restrictions on mobility, including shelter‐in‐place orders and bans on social events (World Health Organisation (WHO), 2020). There has been much interest in understanding and quantifying how these regulations modulated both emissions to the atmosphere and the chemical composition of the atmosphere (e.g., Balamurugan et al., 2021; Dietrich et al., 2021; Tanzer‐Gruener et al., 2020; Turner et al., 2020). Recent studies have tried to quantify the impact of the enforced and voluntary restriction of human activities (travel and work related) on global greenhouse gas (GHG) emissions (Forster et al., 2020; Le Quéré et al., 2020; Liu et al., 2020) and air pollution (e.g., Grange et al., 2020; Venter et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

What Are the Different Measures of Mobility Telling Us About Surface Transportation CO₂ Emissions During the COVID‐19 Pandemic?

et al. 2021

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The COVID‐19 pandemic led to widespread reductions in mobility and induced observable changes in atmospheric emissions. Recent work has employed novel mobility data sets as a proxy for trace gas emissions from traffic by scaling CO2 emissions linearly with those near‐real‐time mobility data. Yet, there has been little work evaluating these emission numbers. Here, we systematically compare these mobility data sets to traffic data from local governments in seven diverse urban and national/state regions to characterize the magnitude of errors that result from using the mobility data. We observe differences in excess of 60% between these mobility data sets and local traffic data. We could not find a general functional relationship between the mobility data and traffic flow over all the regions and observe higher deviations from using such general relationships than the original data. Finally, we give an overview of the potential errors that come from estimating CO2 emissions using (mobility or traffic) activity data. Future work should be cautious while using these mobility metrics for emission estimates.

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Section: Introductionmentioning

confidence: 99%

What Are the Different Measures of Mobility Telling Us About Surface Transportation CO₂ Emissions During the COVID‐19 Pandemic?

et al. 2021

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“…From March to June, the difference in solar zenith angle for Poland (latitude 49.00-55.04 °N, longitude 14.07-24.15 °E) is of only about 5 °-10 °, and as such, changes in solar zenith angle can be considered negligible for weather normalization over this domain, while for other studies they has to be considered, e.g., Balamurugan et al, 2021, Goldberg et al, 2020…”

Section: Meteorological Datamentioning

confidence: 99%

“…Several researchers used observations from space, in situ measurements, and models to analyse the impact of COVID-19 on NO 2 pollution. During the COVID-19 lockdown, there was a 6% decrease in NO 2 in Tehran, Iran (Sharifi and Felegari, 2022), 30%-39.79% drop in NO 2 in East China (Filonchyk et al, 2020;Fei et al, 2022), a 40%-50% drop in Arabian Pennisula (Karumuri et al, 2022), a 20%-40% reduction was recorded in India (Biswal et al, 2021), 9%-43% in the United States (Goldberg et al, 2020), 39% decrease in Greece (Koukouli et al, 2021), 23% drop was observed in Germany (Balamurugan et al, 2021), 50% reduction in Spain (Petetin et al, 2020), 67.7% drop in Rome, Italy (Bassani et al, 2021), and many more, especially those comparing the COVID-19 effect on NO 2 across more than one European country (e.g. Barré et al, 2021;Solberg et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Satellite observations showed a negligible reduction in NO2 pollution due to COVID-19 lockdown over Poland

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Stachlewska

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et al. 2023

Front. Environ. Sci.

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The tropospheric NO2 column from Sentinel-5P/TROPOMI (2018–2020) and Aura/OMI (2010–2020) over Poland, notably for 7 major Polish cities, was used to assess the annual variability and the COVID-19 lockdown effect. On a national scale, during lockdown (March–June 2020), strong sources of pollution were found in Katowice and Warszawa, as well as at the power plant in Bełchatów. A gradual drop in OMI NO2 values between March and June was found for all cities and the entire domain of Poland, this being a part of the annual NO2 cycle derived for every year from 2010 to 2020. In fact, the gradual drop of NO2 in the lockdown year was within the typical monthly and annual variability. In March 2020, Kraków showed the highest NO2 reduction rate. A reduction of NO2 was observed in Gdańsk, Wrocław, and Warszawa during every month of the lock-down period. Several factors, including wind speed and direction, temperature, and increased emission sources, can limit the dispersion and removal of NO2. Although meteorological conditions have a significant impact on the annual cycle of NO2 in Poland, it is important to note that anthropogenic emissions remain the primary driver of NO2 concentrations. Therefore, the study concludes that the effect of COVID-19 restrictions on NO2 pollution was negligible and clarifies the current understanding of the COVID-19 effect over Poland, with an emphasis on hotspots in the major Polish cities and their vicinity. This is consistent with our understanding that the reduction of NO2 pollution is seen in cities due to reduced traffic (domestic, municipal, and airborne).

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Tropospheric NO_2 and O_3 response to COVID-19 lockdown restrictions at the national and urban scales in Germany

Cited by 2 publications

References 35 publications

What Are the Different Measures of Mobility Telling Us About Surface Transportation CO₂ Emissions During the COVID‐19 Pandemic?

What Are the Different Measures of Mobility Telling Us About Surface Transportation CO₂ Emissions During the COVID‐19 Pandemic?

Satellite observations showed a negligible reduction in NO2 pollution due to COVID-19 lockdown over Poland

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Tropospheric NO_2 and O_3 response to COVID-19 lockdown restrictions at the national and urban scales in Germany

Cited by 2 publications

References 35 publications

What Are the Different Measures of Mobility Telling Us About Surface Transportation CO2 Emissions During the COVID‐19 Pandemic?

What Are the Different Measures of Mobility Telling Us About Surface Transportation CO2 Emissions During the COVID‐19 Pandemic?

Satellite observations showed a negligible reduction in NO2 pollution due to COVID-19 lockdown over Poland

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What Are the Different Measures of Mobility Telling Us About Surface Transportation CO₂ Emissions During the COVID‐19 Pandemic?

What Are the Different Measures of Mobility Telling Us About Surface Transportation CO₂ Emissions During the COVID‐19 Pandemic?