Road traffic is a major source of air pollution and noise, which are the two most important environmental factors for
increased DALYs (Disability Adjusted Life Years). Thus, authorities and companies need to be able to predict the impact of
air pollution and noise reduction measures. This can only be achieved with simulations, and the aim of this project is to
enable the emergence of powerful modelling tools for a physically correct description of air pollution dispersion and sound
propagation in urban environments.
The project is a collaboration between KTH, SMHI and Stockholm Noise and air quality analysis (SLB) at the City of
Stockholm. It consists of four major parts: i) to evaluate and adapt state-of-the-art scale resolving CFD models, such as
Detached Eddy Simulation and Scale Adaptive Simulation, for modelling air pollution dispersion in urban flows, utilizing
wind tunnel data, and later measurements in a real urban area, conducted within the project; ii) to bring computationally
cheap steady Reynolds Averaged Navier-Stokes (RANS) models normally applied for air quality assessment more up to
date with state-of-the-art in CFD, utilizing the scale resolving simulations and measurements; iii) to evaluate state-of-the-art
sound propagation models for improved noise mapping in urban areas, utilizing benchmark cases and the measurements
conducted within the project; iv) to compare air pollution and noise maps in an urban environment, considering the effect
of building design.

Project Info

Project start: 2017

Funded by


This Project is part of Research topic