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Emission Variations of Primary Air Pollutants from Highway Vehicles and Implications during the Covid-19 Pandemic in Beijing, China

Bibliographic Data

ID15486607
AuthorsXizi Cao (Beijing Municipal Ecology and Environment Bureau), Ye Tian (0000-0003-0545-942X, Beijing Municipal Ecology and Environment Bureau), Yan Shen (0009-0008-0461-5498, Beijing Municipal Ecology and Environment Bureau), Tongran Wu (Beijing Municipal Ecology and Environment Bureau), Renfei Li (0009-0000-4528-317X, Beijing Municipal Ecology and Environment Bureau), Xinyu Liu (0000-0001-5087-3385, Beijing Municipal Ecology and Environment Bureau), Amanzheli Yeerken (Beijing Municipal Ecology and Environment Bureau), Yangyang Cui (0000-0003-3990-8342, Beijing Municipal Ecology and Environment Bureau), Yifeng Xue (0000-0001-6132-6213, Beijing Municipal Ecology and Environment Bureau, corresponding author), Aiping Lian (Beijing Municipal Ecology and Environment Bureau, corresponding author)
Year2021
Volume18
Issue8
Pages4019-4019
Publication date2021-04-12
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph18084019
PMID33921210
OpenAlexW3152549519
LanguageEN
Citations received1
References cited16

According to the traffic flow variation from January 2019 to August 2020, emissions of primary air pollutants from highway vehicles were calculated based on the emission factor method, which integrated the actual structure of on-road vehicles. The characteristics of on-highway traffic flow and pollution emissions were compared during various progression stages of coronavirus disease (COVID-19). The results showed that the average daily traffic volume decreased by 38.2% in 2020, with a decrease of 62% during the strict lockdown due to the impact of COVID-19. The daily emissions of primary atmospheric pollutants decreased by 29.2% in 2020 compared to the same period in 2019. As for the structure of on-highway vehicle types, the small and medium-sized passenger vehicles predominated, which accounted for 76.3% of traffic, while trucks and large passenger vehicles accounted for 19.7% and 4.0%, but contributed 58.4% and 33.9% of nitrogen oxide (NO x ) emissions, respectively. According to the simulation results of the ADMS model, the average concentrations of NO x were reduced by 12.0 μg/m 3 compared with the same period in 2019. As for the implication for future pollution control, it is necessary to further optimize the structure of on-highway and the road traffic vehicle types and increase the proportions of new-energy vehicles and vehicles with high emission standards

Air pollution · Beijing · China · Coronavirus disease 2019 (COVID-19 · Geography · NOx · Pollutant · Traffic flow (computer networking · Truck · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Chemistry · Computer Science · Engineering · Environmental Science · Medicine · Vehicle emissions and performance · Automotive Engineering · Environmental Engineering · Pollution

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Citations per year0.33
Citation span2023 - 2023 (1)
Highly citedNo

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