Gao, Shang and Chan, Chak K. and Ngan, Keith (2023) Multi-box modelling of cooking-generated aerosols within an urban street canyon. Atmospheric Environment, 304. ISSN 1352-2310, DOI https://doi.org/10.1016/j.atmosenv.2023.119748.
Full text not available from this repository.Abstract
Multi-box models describing the evolution of cooking-generated aerosols emitted inside an urban street canyon are developed. By contrast with previous box models of urban pollutants, multiple boxes are introduced by partitioning the canyon space into dynamically distinct boxes. Aerosol dynamical processes, namely coagulation and deposition, are represented through standard parameterisations; the exchange or ventilation timescale between boxes is specified by the mean residence time, which is obtained from a Lagrangian particle model. Comparison with predictions from a large-eddy simulation model with a coupled sectional aerosol model indicates improved agreement when nine boxes are used in place of a single box; for example, the relative error in the canyon-averaged number concentration for deep-frying emissions decreases from similar to 30% to similar to 5%. The improvement is smaller for boiling emissions, which contain fewer small particles. The inclusion of extra boxes eliminates the need for explicit segregation corrections and enables the size spectrum and coarse-grained spatial structure of the aerosol number concentration to be captured.
| Item Type: | Article |
|---|---|
| Funders: | Hong Kong Research Grants Council CityU 11329616, City University of Hong Kong 7005283, Environmental Protection Department of Hong Kong 20-02153 |
| Uncontrolled Keywords: | Aerosol microphysics; Box model; Street canyon; Urban aerosols |
| Subjects: | Q Science > QC Physics T Technology > TD Environmental technology. Sanitary engineering |
| Divisions: | Deputy Vice Chancellor (Research & Innovation) Office > Institute of Ocean and Earth Sciences |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 07 May 2024 06:45 |
| Last Modified: | 07 May 2024 06:45 |
| URI: | http://eprints.um.edu.my/id/eprint/38288 |
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