ARIA Regional
ARIA Regional is a complete system for analyzing and forecasting the atmospheric dispersion at a regional and urban scale for primary and secondary pollutants, with a full blown photochemical models. ARIA Regional includes an ensemble of modules for the evaluation and management of air pollutant emissions of diverse origin : industry, traffic, natural sources. Used in a diagnostic mode, the system enables the evaluation of past episodes. In prospective mode it enables testing and evaluation of the effects of different measures intended to improve air quality (traffic control, reduction of industrial emissions, fuel composition…).
In forecasting mode, through the use of a 3D mesoscale meteorological forecast model, it provides information on air quality up to 48 hours ahead (ozone, NO2, PM).
- Applications
- Strong points
- Clients
Analysis and forecast of regional air pollution
-
Determining pollutant sources contribution (industry, traffic…) in order to target more precisely priority actions
-
Analyzing and forecasting the atmospheric dispersion at a regional and urban scale for primary and secondary pollutants (03, NOX, SO2, PM) - Forecast Mode
-
Evaluating and analyzing the impact of measures for improving the air quality (2 way flow, speed limit, reduction of industrial, fuel and other emissions) - Prospecting Mode
-
Understanding past pollution episodes - Diagnostic Mode
Under construction
BMEMC Beijing Municipal Environmental Monitoring Center (Olympic Games ok Beijing); Qatar Petroleum; Ministry of Environment in Israel; ORAMIP; AIRPARIF; ASPA; COPARLY; CETE Est; AIR NORMAND; SCETAUROUTE; TOTAL; PEUGEOT; RENAULT; LAMMA Firenze; INERIS; Ecole des Mines de Douai; KIT Japon (Kanazawa Institute of Technology); CPCB New Delhi (Central Pollution Control Board)
Data Input
Spatial Scale: From 30 to 300 km
Input meteorological data: All available ground and upper air measurement data including output from large scale weather models (ECMWF, ARPEGE)
Input emissions data: Emission for primary species (CO, NOx, SO2, VOCs, PM) from large point sources, linear sources (traffic,...), area sources (domestic heating, biogenic, ..).
File management of SNAP categories and VOCs speciations.
Temporal modulations (monthly, weekly and hourly) for each category
Modelling
Meteorological models: Meteorological diagnostic model SWIFT, Prognostic model MERCURE.
Dispersion models: Eulerian transport model: AIRQUAL (IFP-EDF), UAM or CAMx reactive models.
Forecast model: CHIMERE (CNRS) reactive model