Authors: Dietmar Oettl
Addresses: Section Air Quality Control, Provincial Government of Styria, 8010 Graz, Landhausgasse 7, Austria
Abstract: Knowledge about the spatial distribution of NO2 concentrations is beneficial for setting up air quality measurement plans, assessing exposure, or in licensing procedures, where background concentration levels are required. Styria (16.400 km2, 1.2 million population) is the second largest province in Austria. In order to take topographical effects on the pollutant dispersion into account, wind field libraries have been computed using the prognostic non-hydrostatic model GRAMM. Local observations of wind speed, direction and estimated stability classes have been used as meteorological input. Subsequently, quasi steady state wind fields have been computed and stored for later use in dispersion modelling utilising the Lagrangian particle model GRAL. In order to capture strong NO2 concentration gradients (e.g., near roads), 10 m horizontal grid spacing was used in dispersion calculations. Building effects on dispersion have been taken into account by applying a simple mass-conservative diagnostic flow field model implemented in GRAL.
Keywords: Graz Lagrangian model; GRAL; Graz mesoscale model; GRAMM; air quality mapping; Lagrangian particle model; nitrogen dioxide; NO2; wind field libraries; Austria; air pollution; pollutant dispersion; atmospheric dispersion modelling.
International Journal of Environment and Pollution, 2014 Vol.54 No.2/3/4, pp.137 - 146
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 13 Oct 2014 *