Preprints
https://doi.org/10.5194/acp-2022-365
https://doi.org/10.5194/acp-2022-365
 
22 Jun 2022
22 Jun 2022
Status: a revised version of this preprint is currently under review for the journal ACP.

Modelling of street-scale pollutant dispersion by coupled simulation of chemical reaction, aerosol dynamics, and CFD

Chao Lin1,, Yunyi Wang2,, Ryozo Ooka3, Cédric Flageul4, Youngseob Kim2, Hideki Kikumoto3, Zhizhao Wang2, and Karine Sartelet2 Chao Lin et al.
  • 1Graduate School of Engineering, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
  • 2CEREA, École des Ponts ParisTech, EdF R&D, 77 455 Marne la Vallée, France
  • 3Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
  • 4Curiosity Group, Pprime Institute, Université de Poitiers, CNRS, ISAE-ENSMA, Chasseneuil, France
  • These authors contributed equally to this work.

Abstract. In the urban environment, gas such as nitrogen dioxide NO2, and particles impose adverse impacts on pedestrians’ health. The conventional computational fluid dynamics (CFD) methods that regard pollutant as passive scalar cannot reproduce the formation of secondary pollutants, such as NO2 and secondary inorganic and organic aerosols, leading to uncertain prediction. In this study, SSH-Aerosol, a modular box model that simulates the evolution of gas, primary and secondary aerosols, is coupled with the CFD software OpenFOAM and Code_Saturne. The transient dispersion of pollutants emitted from traffic in a street canyon is simulated using unsteady Reynolds-averaged Navier–Stokes equations (RANS) model.

The simulated concentrations of NO2, PM10 and black carbon are compared with field measurements on a street of Greater Paris. The simulated NO2 and PM10 concentrations based on the coupled model achieved better agreement with measurement data than the conventional CFD simulation. Meanwhile, the black carbon concentration is underestimated, probably partly because of the underestimation of non-exhaust emissions (tyre and road wear).

Vehicles are considered the main source of ammonia (NH3) in urban environments, which may condense with nitric acid (HNO3) to form ammonium nitrate. In the reference simulation with NH3 traffic emissions accounting for 1–2 % of NOx emissions, aerosol dynamics leads to an ammonium nitrate increase of 46 % on average over a 12-hour simulation period (5 a.m. to 5 p.m.) compared to the conventional CFD simulation. Furthermore, an increase in NH3 traffic emissions (to 10 % and 20 % of NOx emissions) may leads to a large increase in ammonium nitrate (35 % and 55 %) compared to the reference simulation.

In addition, aerosol dynamics leads to a 52 % increase in 12-hour time-averaged organic matter concentrations compared to the conventional CFD simulation, because of the condensation of anthropogenic compounds from precursor-gas emissions and of background biogenic precursor-gases on the enhance inorganic concentrations.

Chao Lin et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-365', Anonymous Referee #1, 05 Jul 2022
  • RC2: 'Comment on acp-2022-365', Anonymous Referee #2, 27 Jul 2022
  • RC3: 'Comment on acp-2022-365', Anonymous Referee #3, 28 Jul 2022
  • AC1: 'Comment on acp-2022-365', Chao Lin, 14 Sep 2022

Chao Lin et al.

Chao Lin et al.

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Short summary
In this study, SSH-Aerosol, a modular box model that simulates the evolution of gas, primary and secondary aerosols, is coupled with the CFD software OpenFOAM and Code_Saturne. The transient dispersion of pollutants emitted from traffic in a street canyon of Greater Paris is simulated. The coupled model achieved better agreement on NO2 and PM10 with measurement data than the conventional CFD simulation which regards pollutant as passive scalar.
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