Temporal-spatial distributions of road silt loadings and fugitive road dust emissions in Beijing from 2019 to 2020

J Environ Sci (China). 2023 Oct:132:56-70. doi: 10.1016/j.jes.2022.07.007. Epub 2022 Jul 16.

Abstract

Road silt loading (sL) is an important parameter in the fugitive road dust (FRD) emissions. In this study, the improved Testing Re-entrained Aerosol Kinetic Emissions from Roads (TRAKER) combined with the AP-42 method was firstly developed to quickly measure and estimate the sLs of paved roads in Beijing, China. The annual average sLs in Beijing was 0.59±0.31 g/m2 in 2020, and decreased by 22.4% compared with that in 2019. The seasonal variations of sLs followed the order of spring > winter > summer > autumn in the two years. The seasonal mean road sLs on the same type road in the four seasons presented a decline trend from 2019 to 2020, especially on the Express way, decreasing 47.4%-72.7%. The road sLs on the different type roads in the same season followed the order of Major arterial ∼ Minor arterial ∼ Branch road > Express road, and Township road ∼ Country highway > Provincial highway ∼ National highway. The emission intensities of PM10 and PM2.5 from FRD in Beijing in 2020 were lower than those in 2019. The PM10 and PM2.5 emission intensities at the four planning areas in the two years all presented the order of the capital functional core area > the urban functional expansion area > the urban development new area > the ecological conservation and development area. The annual emissions of PM10 and PM2.5 from FRD in Beijing in 2020 were 74,886 ton and 18,118 ton, respectively, decreasing by ∼33.3% compared with those in 2019.

Keywords: Emission factor; Emission inventory; Road silt loading; Temporal-spatial distribution.

MeSH terms

  • Air Pollutants* / analysis
  • Beijing
  • China
  • Dust* / analysis
  • Environmental Monitoring
  • Particulate Matter / analysis
  • Seasons
  • Vehicle Emissions / analysis

Substances

  • Dust
  • Particulate Matter
  • Air Pollutants
  • Vehicle Emissions