scholarly journals COVID-19 lockdowns highlight a risk of increasing ozone pollution in European urban areas

2021 ◽  
Vol 21 (5) ◽  
pp. 4169-4185 ◽  
Author(s):  
Stuart K. Grange ◽  
James D. Lee ◽  
Will S. Drysdale ◽  
Alastair C. Lewis ◽  
Christoph Hueglin ◽  
...  

Abstract. In March 2020, non-pharmaceutical intervention measures in the form of lockdowns were applied across Europe to urgently reduce the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus which causes the COVID-19 disease. The aggressive curtailing of the European economy had widespread impacts on the atmospheric composition, particularly for nitrogen dioxide (NO2) and ozone (O3). To investigate these changes, we analyse data from 246 ambient air pollution monitoring sites in 102 urban areas and 34 countries in Europe between February and July 2020. Counterfactual, business-as-usual air quality time series are created using machine-learning models to account for natural weather variability. Across Europe, we estimate that NO2 concentrations were 34 % and 32 % lower than expected for respective traffic and urban background locations, whereas O3 was 30 % and 21 % higher (in the same respective environments) at the point of maximum restriction on mobility. To put the 2020 changes into context, average NO2 trends since 2010 were calculated, and the changes experienced across European urban areas in 2020 was equivalent to 7.6 years of average NO2 reduction (or concentrations which might be anticipated in 2028). Despite NO2 concentrations decreasing by approximately a third, total oxidant (Ox) changed little, suggesting that the reductions in NO2 were substituted by increases in O3. The lockdown period demonstrated that the expected future reductions in NO2 in European urban areas are likely to lead to widespread increases in urban O3 pollution unless additional mitigation measures are introduced.

2020 ◽  
Author(s):  
Stuart K. Grange ◽  
James D. Lee ◽  
Will S. Drysdale ◽  
Alastair C. Lewis ◽  
Christoph Hueglin ◽  
...  

Abstract. In March 2020, non-pharmaceutical interventions in the form of lockdowns were applied across Europe to urgently reduce the transmission of SARS-CoV-2, the virus which causes the COVID-19 disease. The near-complete shutdown of the European economy had widespread impacts on atmospheric composition, particularly for nitrogen dioxide (NO2) and ozone (O3). To investigate these changes, we analyze data from 246 ambient air pollution monitoring sites in 102 urban areas and 34 countries in Europe between February and July, 2020. Counterfactual, business as usual air quality time series are created using machine learning models to account for natural weather variability. Across Europe, we estimate that NO2 concentrations were 34 and 32 % lower than expected for traffic and urban-background locations while O3 was 30 and 21 % higher (in the same environments) at the point of maximum restriction on mobility. The European urban NO2 experienced in the 2020 lockdown was equivalent to that which might be anticipated in 2028 based on average trends since 2010. Despite NO2 concentrations decreasing by approximately a third, total oxidant (Ox) changed little, suggesting that the reductions of NO2 were substituted by increases in O3. The lockdown period demonstrated that the expected future reductions in NO2 in European urban areas are likely to lead to a widespread increase in urban O3 pollution unless additional mitigation measures are introduced.


Atmosphere ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 222 ◽  
Author(s):  
Kazuyo Yamaji ◽  
Satoru Chatani ◽  
Syuichi Itahashi ◽  
Masahiko Saito ◽  
Masayuki Takigawa ◽  
...  

A model inter-comparison of secondary pollutant simulations over urban areas in Japan, the first phase of Japan’s study for reference air quality modeling (J-STREAM Phase I), was conducted using 32 model settings. Simulated hourly concentrations of nitric oxide (NO) and nitrogen dioxide (NO2), which are primary pollutant precursors of particulate matter with a diameter of 2.5 µm or less (PM2.5), showed good agreement with the observed concentrations, but most of the simulated hourly sulfur oxide (SO2) concentrations were much higher than the observations. Simulated concentrations of PM2.5 and its components were compared to daily observed concentrations by using the filter pack method at selected ambient air pollution monitoring stations (AAPMSs) for each season. In general, most models showed good agreement with the observed total PM2.5 mass concentration levels in each season and provided goal or criteria levels of model ensemble statistics in warmer seasons. The good performances of these models were associated with the simulated reproducibility of some dominant components, sulfates (SO42−) and ammonium (NH4+). The other simulated PM2.5 components, i.e., nitrates (NO3−), elemental carbon (EC), and organic carbon (OC), often show clear deviations from the observations. The considerable underestimations (approximately 30 µg/m3 for total PM2.5) of all participant models found on heavily polluted days with approximately 40–50 µg/m3 for total PM2.5 indicated some problems in the simulated local meteorology such as the atmospheric stability. This model inter-comparison suggests that these deviations may be owing to a need for further improvements both in the emission inventories and additional formation pathways in chemical transport models, and meteorological conditions also require improvement to simulate elevated atmospheric pollutants. Additional accumulated observations are likely needed to further evaluate the simulated concentrations and improve the model performance.


2019 ◽  
Vol 65 ◽  
pp. 52-71 ◽  
Author(s):  
Ranran Li ◽  
Yuqi Dong ◽  
Zhijie Zhu ◽  
Chen Li ◽  
Hufang Yang

2019 ◽  
Vol 109 ◽  
pp. 277-282 ◽  
Author(s):  
Corbett Grainger ◽  
Andrew Schreiber

In the United States, ambient air quality is regulated through National Ambient Air Quality standards (NAAQS). Enforcement of these standards is delegated to state and sub-state regulators who are also tasked with designing their own monitoring networks for ambient pollution. Past work has found evidence consistent with strategic behavior: local regulators strategically avoid pollution hotspots when siting monitors. This paper assesses whether income and race have historically played a role in monitor siting decisions.


2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
A. Kholodov ◽  
M. Tretyakova ◽  
K. Golokhvast

Snow precipitation and snowpack are commonly used to assess the condition of the aerial environment. Another way to monitor air quality is to study trees and shrubs, which are natural barriers for capturing air pollution, including atmospheric particulate matter. The hypothesis of the current study was that using fresh snow precipitation and washout from vegetation for the monitoring of air pollution can produce comparable results. In this study, we compared the results of laser diffraction analysis of suspended particular matter in melted fresh snow and ultrasound-treated washout from conifer needles. The samples were collected at several sites in Primorsky Krai, Russian Federation, and analyzed according to the same scheme. We observed that the content of particulate matter with a smaller aerodynamic diameter in the ultrasound-treated washout from conifer needles was higher than that in the melted fresh snow. The content of PM10 in the ultrasound-treated washout from conifers was increased by 6–27% depending on the site, showing greater efficacy of this method. This method can be used as an alternative to the sampling of snow for the monitoring of ambient air pollution, taking into account several limitations.


2020 ◽  
Vol 9 (3) ◽  
pp. 209-226
Author(s):  
Nassrin Hasanzadeh ◽  
◽  
Fariba Hedayatzadeh ◽  

Background: One of the most concerning pollutants in urban areas across the globe is particulate matter suspended in the Earth’s atmosphere. The main objective of the current investigation is to explore the spatial and temporal patterns of ambient air particles (PM10 and PM2.5) and PM2.5/PM10 ratio in different urban areas of Khuzestan Province. Methods: In this way, the required data were gathered from the environmental protection organization based on hourly mean concentrations of PM10 and PM2.5 of six air pollution-monitoring sites for 5 years. Results: Results indicated that the average concentrations of PM10, PM2.5, and PM2.5/PM10 are about 134.14±39.23 µg/m3, 44.51±13.44 µg/m3 and 0.33±0.07, respectively. The examinations revealed a reductive trend on annual values of PMs in terms of temporal variations. A detailed investigation of the annual mean concentrations of PMs and PM2.5/PM10 in terms of spatial variations demonstrated the largest values for Naderi-Ahvaz and Abadan stations. Furthermore, the measured AQI was larger than 100 and the Exceedance Factor (EF) values of PM10 and PM2.5 ranged between 1.51-2.73 and 0.77-1.41. The statistical analysis obtained from linear regression revealed a significant positive relation between AQI and PM2.5 and PM10 with correlation coefficients (R2) of 0.8259 and 0.7934, respectively. Conclusion: Although the analysis and measurement revealed a reductive trend in the annual mean concentrations of PM2.5 and PM10, the measured AQI and EF values are still far from the standards of good quality and low pollution. Therefore, it is highly necessary to follow the air pollution protocols to control PM air pollution in Khuzestan Province.


1992 ◽  
Vol 8 (6) ◽  
pp. 9-14
Author(s):  
G.R. Tosen ◽  
A.P.S. Terblanche ◽  
L. Uys ◽  
C.R. Turner

An extensive ambient air pollution monitoring network was designed as part of the Vaal Triangle Air Pollution Health Study (VAPS). The objective of the outdoor study is to determine air quality levels in the Vaal Triangle region. The monitoring was designed simultaneously with the health component of the VAPS. The network HUS designed according to specific criteria and has been in operation since July 1991. Six monitoring sites, which are presently in operation, were gradually phased in over the last 12 months. The pollutants which are considered as important and which are monitored in the area on a continuous basis for 365 days a year are: sulphur dioxide, nitrogen oxides, ozone, non-methane hydrocarbons particulates and hydrogen sulphide. Meteorological parameters are also monitored. The design of the network, as well as preliminary results from two monitoring sites, will be discussed.


2013 ◽  
Vol 72 (12) ◽  
pp. 2002-2005 ◽  
Author(s):  
Ryan W Gan ◽  
Kevin D Deane ◽  
Gary O Zerbe ◽  
M Kristen Demoruelle ◽  
Michael H Weisman ◽  
...  

IntroductionStudies suggest that respiratory exposures including smoking, proximity to traffic and air pollution might be associated with development of rheumatoid arthritis (RA). RA-related autoantibodies are predictive of the development of RA.ObjectiveWe evaluated the relationship between RA-related autoantibodies and exposure to particulate matter (PM), a measure of air pollution of interest to health, in individuals without RA.MethodsThe Studies of the Etiology of Rheumatoid Arthritis (SERA) is a multicentre study following first-degree relatives (FDRs) of a proband with RA. FDRs are without the 1987 ACR (American College of Rheumatology) classifiable RA at enrolment and are followed for the development of RA-related autoimmunity. RA-related autoantibody outcomes as well as tender and swollen joint outcomes were assessed. Exposure to PM was assigned using ambient air pollution monitoring data and interpolated with inverse distance weighting spatial analyses using Geographic Information Systems. PM exposures were linked to FDR's residential zip codes.ResultsRA-related autoantibodies as well as tender or swollen joints are not associated with ambient PM concentrations.DiscussionWhile other respiratory exposures may be associated with increased risk of RA, our data suggest that ambient PM is not associated with autoantibodies and joint signs among individuals without RA, but at increased risk of developing RA.


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