Publications by authors named "Aiping Lian"

This study combined the real-time monitoring and investigation of traffic flows to comprehensively analyze the road traffic flow and vehicle structure in downtown Beijing. A dynamic emission inventory of motor vehicle air pollutants in downtown Beijing in 2021 was established, and the impact of these emissions on air quality was simulated and quantified, and different emission reduction control scenarios were proposed to evaluate their environmental improvement effects and explore measures to mitigate the impact of pollution emissions. The results show that the high traffic flow and the structure of the motor vehicle emissions in downtown Beijing are the main causes of severe motor vehicle pollution.

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Article Synopsis
  • Over the past decade, Beijing has improved emission and fuel standards, removing 2.95 million old vehicles, leading to significant reductions in air pollutants by 2019.
  • The adoption of the emission factor method allowed for better understanding and control of air pollution from combustion engine vehicles.
  • Projections suggest that continued upgrades and the adoption of electric vehicles could further reduce emissions of key pollutants by 20%-41% by the end of the 14th Five-Year Plan.
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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.

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