An Amended Chemical Mass Balance Model for Source Apportionment of PM_2.5 in Typical Chinese Eastern Coastal Cities

Abstract

An adequate air quality analysis requires interpretation regarding not only how severe pollution is but also how the pollution is formed. In this work, an amendment to the chemical mass balance (CMB) model is proposed to obtain better source apportionment of PM2.5. First, localized PM2.5 source profiles for Chinese eastern coastal cities are obtained by in situ sampling. Then, a judgment diagram is established for quick preliminary judgment. CMB models, including an original standard model and an amended two‐step model, are applied to apportion highly mixed samples. For the amended CMB model, simulation is first executed with the ratios of metal elements to Al, to apportion windowsill dust into soil dust, road dust, construction dust, and vehicle dust. Then, a virtual mixed source profile was built with the proportion ratio. The second CMB model is executed to apportion ambient dust based on the virtual mixed source profile instead of divided dusts. Finally, the proportions of soil dust, road dust, and construction dust are obtained by redistributing the virtual mixed sources within ambient dust. The modeling results show that the amended CMB method could separate different fugitive dusts and obtain reasonable results: secondary sulfate contributes the most to PM2.5 pollution in Chinese eastern coastal cities at 44.50%, followed by vehicle exhaust dust and ammonium nitrate; the fugitive dusts are more precisely apportioned and soil dust, road dust, construction dust, and windowsill dust contribute 2.24, 0.47, 0.09, and 1.84%, respectively.

Chemical Composition Characteristics and Source Apportionment of PM2.5 in Ceramic Industrial Base during Winter

“…Policea et al (Police et al, 2018) used the PMF model for source analysis and found that anthropogenic sources were clearly the major contributor to PM2.5, but natural sources were reported to be the chief contributor to PM2.5-10. Wang et al (Wang et al, 2019) found that amended CMB method could separate different fugitive dusts and obtain good results: secondary sulfate contributes the most to PM2.5 pollution in Chinese eastern coastal cities at 44.50%. Liang et al (Liang et al, 2019) also used the PMF model and identified the four sources of PM2.5 at a sampling site and the OC and EC accounted for the main proportion of the PM2.5 mass, followed by secondary inorganic aerosols and coal combustion.…”

Removal of Cement Dust Particulates via Fully Submerged Self‐Primed Venturi Scrubber

“…[ 6 ] In recent years, the role of soil dust, coal dust, road dust, and construction dust in contributing hazardous elements to PM 2.5 has been investigated. [ 7 ] Pollutants from the cement industry mainly comprise PM including PM 2.5 and PM 10 as well as gaseous pollutants such as SO x and NO x . [ 8 ] The emission of dust from cement factories has garnered increasing concern due to the increasing numbers of cement plants, which have been expanding to meet the demand for cement for construction.…”