The Environmental Studies and Planning Section of the Environment Department (EPSS-ED) at Dubai Municipality is currently Establishing an Air Quality Forecasting system that provides daily air quality forecast for CO, NO2, SO2, O3, PM10 and PM2.5. Air Quality Forecasting is a simulation of air pollutants dispersion in the ambient atmosphere. The result of the simulation gives the ambient concentration of each air pollutant, from which the Air Quality Index can be deduced. The Air Quality Forecasting is to be applicable to the Emirate of Dubai.
The forecasting system relies on the input of:
Air Quality Forecasting Objectives
The Air Quality Forecasting system has the following objectives:
As part of the quality assurance, factory and site acceptance tests will be carried out to test the functionality of the model setup. Strict monitoring and review procedure will be followed to ensure the quality of the outputs.
The following models are to be applied in the Air Quality Forecasting system:
MM5: Meteorological Forecasting Model
MM5, the fifth generation Penn State/NCAR mesoscale model, is a nonhydrostatic, 3D dynamic nested grid meteorological forecasting model, and is used as a prognostic meteorological model.
CAMx: Photochemical Dispersion Model
The Comprehensive Air Quality Model with extensions (CAMx) is an Eulerian photochemical dispersion model that allows for an integrated one-atmosphere assessment of gaseous and particulate air pollution (O3, PM10 and PM2.5) over many scales ranging from sub-urban to continental.
AERMOD: Air Pollutants Dispersion Model
AERMOD represents the latest of USEPA’s regulatory dispersion models, derived from the ISC family of models and based on more current planetary boundary layer parameterizations.
DUST: Wind Erosion and Entrainment of Particulates
DUST provides dynamic emission data (matrices) to CAMx for dust and aerosol fate and transport modeling.
PUFF: Air Pollutants Dispersion Model
PUFF is a 3D dynamic Gaussian/Lagrangian very high resolution dynamic multi-puff model for transient emissions or mobile sources such as cars, trucks, trains, ships, and airtraffic (3D TOL cycle/airport simulation).