Berman et al.22
|
United States (all counties in the U.S. with both NO2 and PM2.5 monitors) |
Reduced traffic and mandated business closures between March 13-April 21. March 13th being when U.S. reported cases exceeded 2000 and the first enacted state-wide social distancing order |
None |
Two-sided t-tests paired by county (α = 0.05) |
25.5% reduction (4.8 ppb) in NO2 was observed during the COVID-19 period |
NO2 decline was statistically significant regardless of when mandated business closures were implemented |
11.3% statistically significant reduction (0.7 μg/m3) of PM2.5 in counties from states that instituted early non-essential business closures |
Gillingham et al. 28 (Commentary) |
United States (785 monitors) |
Shutdowns |
Weather and seasonality |
Global polynomial and a two-step local regression |
PM2.5 concentrations have decreased by around -0.5 μg/m3 since the start of the shutdowns |
Estimated 11% NOx decrease in daily local emissions |
There is insufficient evidence to prove that there was a significant decrease in PM2.5 concentrations in the U.S |
Goldberg et al.24
|
20 cities in North America |
COVID-19 Physical distancing measures (lockdown) (15 March to 30 April post-covid-19 period) |
Solar zenith angle and meteorological conditions over very short time scales |
Average differences |
Adjusted for seasonality and meteorology, NO2 had a median drop of 21.6% before and after COVID‐19 physical distancing |
Karaer et al. 25
|
Florida |
COVID-19 social distancing behaviors (March 2020) |
Population density and income |
A cross-correlation based dependency analysis |
The decrease in NO2 concentrations and vehicle miles travelled (VMT) started 2 weeks before the official stay-at-home order and resulted in 54.07% and 59.68% decrease in NO2 and VMT by the end of the month, respectively |
Miech et al. 27
|
Phoenix |
COVID-19 Stay at home orders (pre-COVID-19: Jan 6-March 6 & Post-COVID-19: March 13-April 8) |
Meteorological parameters (horizontal wind speed, temperature, precipitation, and planetary boundary layer height) |
Linear regression model |
No uniform decrease was found in CO or NO2 across the three sites studied |
There was a significant decrease (45%) in PM10 at all the sites compared to the past two years |
Parker et al. 26
|
Southern California |
Stay-At-Home orders (19 March-30 June of the last 5 years) |
Meteorological differences |
Average differences |
Concentrations of PM2.5 and NOx showed an overall reduction (10–45% and 13–40%, respectively) across the basin in 2020 |
O3 concentrations decreased (9 ppb or 22%) in the western part of the basin and increased (8 ppb or 15%) in the downwind areas |
Venter et al. 36
|
34 countries |
Lockdown (Jan 1- May 15) |
Meteorological variability |
Linear regression models |
11 μg/m3 reduction in NO2 (on average 60% reduction) |
12 μg/m3 reduction in PM2.5 (on average 31% reduction) |
4 μg/m3a increase in O3 (4% increase) |
Fu et al.35
|
20 selected major cities around the world |
Lockdown (lockdown period in each city compared to same period in the past 3 years) |
Meteorological variability |
ANOVA and Tukey’s HSD tests |
NO2 decreased significantly in all cities relative to the past 3 years |
PM2.5 decreased in all cities and found a significant decrease in 9 cities relative to each of the 3 years |
Benchrif et al. 50
|
21 selected cities around the world |
Lockdown |
None |
Descriptive statistics |
PM25 and NO2 concentrations declined considerably in different cities during lockdown period |
Hammer et al.51
|
China, Europe, and North America |
Lockdown (Jan – Apr 2020) |
None |
Descriptive statistics and simulation study |
PM2.5 concentrations decreased in all study locations compared to same period during 2018 and 2019 |