Modelling of Nanoparticle Number Emissions from Road Transport—An Urban Scale Emission Inventory

Atmospheric nanoparticles, due to their tiny size up to 100 nanometres in diameter, have negligible mass and are better characterised by their particle number concentration. Atmospheric nanoparticle numbers are not regulated due to insufficient data availability, which emphasises the importance of this research. In this paper, nanoparticle number emissions are estimated using nanoparticle number emission factors (NPNEF) and road traffic characteristics. Traffic flow and fleet composition were estimated using the Leeds Transport Model, which showed that the road traffic in Leeds consisted of 41% petrol cars, 43% diesel cars, 9% LGV, 2% HGV, and 4.5% buses and coaches. Two approaches were used for emission estimation: (a) a detailed model, which required detailed information on traffic flow and fleet composition and NPNEFs of various vehicle types; and (b) a simple model, which used total traffic flow and a single NPNEF of mixed fleet. The estimations of both models demonstrated a strong correlation with each other using the values of R, RMSE, FAC2, and MB, which were 1, 2.77 × 1017, 0.95, and −1.92 × 1017, respectively. Eastern and southern parts of the city experienced higher levels of emissions. Future work will include fine-tuning the road traffic emission inventory and quantifying other emission sources.

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Publication Details

Journal
Atmosphere
Published
2025-04-03
DOI
https://doi.org/10.3390/atmos16040417
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
0.00

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article

Modelling of Nanoparticle Number Emissions from Road Transport—An Urban Scale Emission Inventory

Said Munir, Haibo Chen, R.L. Crowther
Atmosphere
Air Quality and Health Impacts
article

Modelling of Nanoparticle Number Emissions from Road Transport—An Urban Scale Emission Inventory

Said Munir, Haibo Chen, R.L. Crowther
article en

Abstract

Atmospheric nanoparticles, due to their tiny size up to 100 nanometres in diameter, have negligible mass and are better characterised by their particle number concentration. Atmospheric nanoparticle numbers are not regulated due to insufficient data availability, which emphasises the importance of this research. In this paper, nanoparticle number emissions are estimated using nanoparticle number emission factors (NPNEF) and road traffic characteristics. Traffic flow and fleet composition were estimated using the Leeds Transport Model, which showed that the road traffic in Leeds consisted of 41% petrol cars, 43% diesel cars, 9% LGV, 2% HGV, and 4.5% buses and coaches. Two approaches were used for emission estimation: (a) a detailed model, which required detailed information on traffic flow and fleet composition and NPNEFs of various vehicle types; and (b) a simple model, which used total traffic flow and a single NPNEF of mixed fleet. The estimations of both models demonstrated a strong correlation with each other using the values of R, RMSE, FAC2, and MB, which were 1, 2.77 × 1017, 0.95, and −1.92 × 1017, respectively. Eastern and southern parts of the city experienced higher levels of emissions. Future work will include fine-tuning the road traffic emission inventory and quantifying other emission sources.

AtmosphereVol. 16(4)
University of Leeds (GB), Leeds City Council (GB)
European Commission
Openalex Percentile: Top 92%
Air Quality and Health Impacts
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Modelling of Nanoparticle Number Emissions from Road Transport—An Urban Scale Emission Inventory — Said Munir, Haibo Chen, et al. · Atmosphere (2025) | TGRS Research Map | TGRS