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:

  • Emission inventories related to the Energy, Industry and Transport (Road, Maritime and Aviation) sectors;
  • Meteorological data: temperature, humidity, wind direction and wind speed;
  • Terrain data: topography, land use and soil; and
  • Air Quality Monitoring data for criteria pollutants: CO, NO2, SO2, O3, PM10 and PM2.5.

Air Quality Forecasting Objectives
The Air Quality Forecasting system has the following objectives:

  • Short-term forecasting of ambient air quality and concentrations of pollutants, and reporting of current and historical air quality forecasts and alerts;
  • Estimation of population exposure to air pollution - Health Risk Assessment;
  • Information to the sensitive population about the health hazards from air pollution;
  • Communication and awareness campaigns to reduce emissions; and
  • Preparation of policies that influence air quality and its management.

Quality Assurance
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).

AQI
Air Pollution Category
0-50
Excellent
51-100
Good
101-150
Lightly Polluted
151-200
Moderately Polluted
201-300
Heavily Polluted
>300
Severly Polluted

Community: Abu Hail

12 Sep 2018
05:00 4-Moderaterisk
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16:00 3-Low Risk
17:00 3-Low Risk
18:00 3-Low Risk
19:00 3-Low Risk
20:00 3-Low Risk
21:00 3-Low Risk
22:00 3-Low Risk
23:00 3-Low Risk
24:00 3-Low Risk

Forecast For 09/12/2018

Forecast For 09/13/2018

Dayafter Tomorrow Forecast For 09/13/2018