Fast Models for Predicting Pollutant Dispersion inside Urban Canopies

نویسندگان

چکیده

A fast pollutant dispersion model for urban canopies is developed by coupling mean wind profiles to a parameterisation of turbulent diffusion and solving the time-dependent advection–diffusion equation. The performance simplified, coarse-grained representation velocity field investigated. Spatially averaged within local averaging regions or repeating units are predicted three-dimensional Poisson equation set discrete vortex sheets. For each region, parameterised in terms profile using empirical constants derived from large-eddy simulation (LES). Nearly identical results obtained whether fluctuations specified explicitly an effective diffusivity used their place: either version shows much better agreement with LES than does Gaussian plume (e.g., normalized square error inside canopy several times smaller). Passive scalar statistics regular cubic building array show improved when vary horizontal. current implementation around 50 faster LES. With its combination computational efficiency moderate accuracy, may be suitable time-critical applications such as emergency modelling.

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ژورنال

عنوان ژورنال: Atmosphere

سال: 2023

ISSN: ['2073-4433']

DOI: https://doi.org/10.3390/atmos14091337