Impacts of the COVID-19 lockdown on air pollution at regional and urban background sites in northern Italy

Abstract. The COVID-19 lockdown measures gradually implemented in Lombardy (northern Italy) from 23 February 2020 led to a downturn in several economic sectors with possible impacts on air quality. Several communications claimed in the first weeks of March 2020 that the mitigation in air pollution observed at that time was actually related to these lockdown measures without considering that seasonal variations in emissions and meteorology also influence air quality. To determine the specific impact of lockdown measures on air quality in northern Italy, we compared observations from the European Commission Atmospheric Observatory of Ispra (regional background) and from the regional environmental protection agency (ARPA) air monitoring stations in the Milan conurbation (urban background) with expected values for these observations using two different approaches. On the one hand, intensive aerosol variables determined from specific aerosol characterisation observations performed in Ispra were compared to their 3-year averages. On the other hand, ground-level measured concentrations of atmospheric pollutants (NO2, PM10, O3, NO, SO2) were compared to expected concentrations derived from the Copernicus Atmosphere Monitoring Service Regional (CAMS) ensemble model forecasts, which did not account for lockdown measures. From these comparisons, we show that NO2 concentrations decreased as a consequence of the lockdown by −30 % and −40 % on average at the urban and regional background sites, respectively. Unlike NO2, PM10 concentrations were not significantly affected by lockdown measures. This could be due to any decreases in PM10 (and PM10 precursors) emissions from traffic being compensated for by increases in emissions from domestic heating and/or from changes in the secondary aerosol formation regime resulting from the lockdown measures. The implementation of the lockdown measures also led to an increase in the highest O3 concentrations at both the urban and regional background sites resulting from reduced titration of O3 by NO. The relaxation of the lockdown measures beginning in May resulted in close-to-expected NO2 concentrations in the urban background and to significant increases in PM10 in comparison to expected concentrations at both regional and urban background sites.

[1]  S. Davis,et al.  Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China , 2020, National science review.

[2]  A. Lewis,et al.  COVID-19 lockdowns highlight a risk of increasing ozone pollution in European urban areas , 2020, Atmospheric Chemistry and Physics.

[3]  J. Baldasano COVID-19 lockdown effects on air quality by NO2 in the cities of Barcelona and Madrid (Spain). , 2020, The Science of the total environment.

[4]  B. Giechaskiel Particle Number Emissions of a Diesel Vehicle during and between Regeneration Events , 2020, Catalysts.

[5]  M. C. Ooi,et al.  Air quality changes during the COVID-19 lockdown over the Yangtze River Delta Region: An insight into the impact of human activity pattern changes on air pollution variation , 2020, Science of The Total Environment.

[6]  L. Nakada,et al.  COVID-19 pandemic: Impacts on the air quality during the partial lockdown in São Paulo state, Brazil , 2020, Science of The Total Environment.

[7]  L. Ntziachristos,et al.  European Regulatory Framework and Particulate Matter Emissions of Gasoline Light-Duty Vehicles: A Review , 2019, Catalysts.

[8]  M. Trombetti,et al.  PM2.5 source allocation in European cities: A SHERPA modelling study , 2018, Atmospheric Environment.

[9]  J. Christensen,et al.  Two-scale multi-model ensemble: is a hybrid ensemble of opportunity telling us more? , 2018, Atmospheric chemistry and physics.

[10]  T. Tuch,et al.  Mobility particle size spectrometers: Calibration procedures and measurement uncertainties , 2018 .

[11]  R. Vecchi,et al.  Analysis of the chemical composition of ultrafine particles from two domestic solid biomass fired room heaters under simulated real-world use. , 2017 .

[12]  Matthieu Plu,et al.  A regional air quality forecasting system over Europe : the MACC-II daily ensemble production , 2015 .

[13]  C. Johansson,et al.  Particulate emissions from residential wood combustion in Europe - revised estimates and an evaluation , 2014 .

[14]  A.J.H. Visschedijk,et al.  TNO-MACC_II emission inventory; a multi-year (2003–2009) consistent high-resolution European emission inventory for air quality modelling , 2014 .

[15]  A. Dell'Acqua,et al.  Long-term trends in aerosol optical characteristics in the Po Valley, Italy , 2014 .

[16]  J. Putaud,et al.  Interactive comment on “Long term trends in aerosol optical characteristics in the Po Valley (IT)” , 2014 .

[17]  M. Tiwari,et al.  Particle size distributions of ultrafine combustion aerosols generated from household fuels , 2014 .

[18]  C Belis,et al.  Sources for PM air pollution in the Po Plain, Italy: II. Probabilistic uncertainty characterization and sensitivity analysis of secondary and primary sources , 2012 .

[19]  E. Vignati,et al.  Better constraints on sources of carbonaceous aerosols using a combined 14 C – macro tracer analysis in a European rural background site , 2011 .

[20]  Sönke Szidat,et al.  Using aerosol light absorption measurements for the quantitative determination of wood burning and traffic emission contributions to particulate matter. , 2008, Environmental science & technology.

[21]  Giulio Giunta,et al.  Seeking for the rational basis of the Median Model: the optimal combination of multi-model ensemble results , 2007 .

[22]  Robin L. Dennis,et al.  Analysis of radical propagation efficiency to assess ozone sensitivity to hydrocarbons and NO x : 2. Long‐lived species as indicators of ozone concentration sensitivity , 2000 .

[23]  J. Seinfeld,et al.  Atmospheric Chemistry and Physics: From Air Pollution to Climate Change , 1998 .