期刊
ENVIRONMENTAL SCIENCE & TECHNOLOGY
卷 56, 期 4, 页码 2172-2180出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.est.1c06288
关键词
recent trend; inverse modeling; urban monitoring system; CO emissions; COVID-19
资金
- National Institute of Standards and Technology Greenhouse Gas measurements program [70NANB21H021, 70NANB16H262, 70NANB17H303, 70NANB19H037, 70NANB19H167]
- National Oceanic and Atmospheric Administration AC4 program [NA14OAR0110139/NA14OAR0110140]
- NOAA's Office of Ocean and Atmospheric Research (OAR)
- NOAA NRDD [19533]
- Maryland Department of Environment
We analyzed airborne measurements of atmospheric CO concentration over a six-year period (2015-2020) and used an inverse model to quantify CO emissions in the Washington, DC, and Baltimore metropolitan areas. Our findings show a decline in CO emissions at a rate of approximately -4.5% per year since 2015 or approximately -3.1% per year since 2016. We also observed a Sunday effect in CO emissions, with lower levels compared to the rest of the week, and a seasonal cycle with no significant variation. The study reveals that the NEI daytime-adjusted emissions are approximately 50% higher than the estimated emissions. Furthermore, during the COVID-19 pandemic, there was a significant reduction in CO emissions, particularly due to decreased traffic.
We analyze airborne measurements of atmospheric CO concentration from 70 flights conducted over six years (2015-2020) using an inverse model to quantify the CO emissions from the Washington, DC, and Baltimore metropolitan areas. We found that CO emissions have been declining in the area at a rate of approximate to-4.5 % a(-1) since 2015 or approximate to-3.1 % a(-1) since 2016. In addition, we found that CO emissions show a Sunday effect, with emissions being lower, on average, than for the rest of the week and that the seasonal cycle is no larger than 16 %. Our results also show that the trend derived from the NEI agrees well with the observed trend, but that NEI daytime-adjusted emissions are approximate to 50 % larger than our estimated emissions. In 2020, measurements collected during the shutdown in activity related to the COVID-19 pandemic indicate a significant drop in CO emissions of 16 % relative to the expected emissions trend from the previous years, or 23 % relative to the mean of 2016 to February 2020. Our results also indicate a larger reduction in April than in May. Last, we show that this reduction in CO emissions was driven mainly by a reduction in traffic.
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