Seasonal vehicle emission rate of chemical compounds related to fuel type from on-road tunnel measurement

Song, MinKyoung; Kim, Eun Young; Lee, Yongmin; Oh, Seung‐Won; Yu, Geun-Hye; Choe, Seoyeong; Park, Gyutae; Lee, Taehyoung; Bae, Min‐Suk

doi:10.1016/j.atmosenv.2023.119777

Atmospheric Environment

2023

DOI: 10.1016/j.atmosenv.2023.119777

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Seasonal vehicle emission rate of chemical compounds related to fuel type from on-road tunnel measurement

MinKyoung Song

Eun Young Kim

Yongmin Lee³

et al.

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Cited by 7 publications

References 53 publications

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Identifying Sources of Atmospheric Pollutants in Densely Populated Urban Areas from a Particle Toxicity Perspective: a Study Using PMF Model and Vehicle Flux Analysis

Song,

Choe,

Song

et al. 2023

Asia-Pac J Atmos Sci

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The aim of this study was to identify the sources of atmospheric pollutants in densely populated urban areas from a particle toxicity perspective. To this end, the Positive Matrix Factorization (PMF) model and vehicle flux analysis were used to identify the sources of atmospheric pollutants in an urban area based on the measured compounds and wind speed at the receptor site. Moreover, the toxicity of each emission source was compared with the dithiothreitol-oxidation potential normalized to 9,10-Phenanthrenequinone (QDTT-OP) analysis using the PMF source apportionment results. The study found that the dominant sources of atmospheric pollutants in the urban area examined were secondary product (43.7%), resuspended dust (25.4%), and vehicle emissions (14.4%). The vehicle flux analysis demonstrated that reducing the number of vehicles could directly reduce urban atmospheric pollutants. By comparing the time series of PMF source profiles with QDTT-OP, the QDTT-OP analysis showed an r2 value of 0.9, thus indicating a strong correlation with biomass burning as the most harmful source of PM2.5 based on emission sources. Overall, this study is expected to provide valuable guidance for managing atmospheric pollutants in densely populated urban areas, and the findings could serve as a helpful resource for improving urban air quality in the future.

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Identifying Sources of Atmospheric Pollutants in Densely Populated Urban Areas from a Particle Toxicity Perspective: a Study Using PMF Model and Vehicle Flux Analysis

Song,

Choe,

Song

et al. 2023

Asia-Pac J Atmos Sci

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Identification of major sources of PM2.5 and gaseous pollutants contributing to oxidative potential in the Yeosu national petrochemical industrial complex: Insights from the PMF model

Choe,

Yu,

Song

et al. 2025

Atmospheric Environment

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Temporal variations in health risk indices and combustion-derived components of PM1.0: Focus on terephthalate and levoglucosan

Song,

Choe,

et al. 2024

Heliyon

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Seasonal vehicle emission rate of chemical compounds related to fuel type from on-road tunnel measurement

Cited by 7 publications

References 53 publications

Identifying Sources of Atmospheric Pollutants in Densely Populated Urban Areas from a Particle Toxicity Perspective: a Study Using PMF Model and Vehicle Flux Analysis

Identifying Sources of Atmospheric Pollutants in Densely Populated Urban Areas from a Particle Toxicity Perspective: a Study Using PMF Model and Vehicle Flux Analysis

Identification of major sources of PM2.5 and gaseous pollutants contributing to oxidative potential in the Yeosu national petrochemical industrial complex: Insights from the PMF model

Temporal variations in health risk indices and combustion-derived components of PM1.0: Focus on terephthalate and levoglucosan

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