• Statistical assessment of long-term impact of industrial and traffic emissions on air quality
• Comparison of concentration levels with regulatory norms (annual averages, percentiles)
• Statistical analysis of meteorological data (time series, wind roses)

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• Source term evaluation (accident)
• Localisation of risk zones based on 3D fields (topography, meteorological stations)

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• Monitoring industrial sites in real time
• Simulation of industrial emission dispersion for specific meteorological conditions and time series
• Assessment of statistical impact industrial emissions in complex terrain (annual average, percentile)

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• Monitoring industrial sites in real time
• Simulation of industrial emission dispersion for specific meteorological conditions and time series
• Assessment of statistical impact industrial emissions in complex terrain (annual average, percentile)

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• At regional scale : To provide a cartography of wind potential and define the best sites for wind energy production.
• At local scale : To define the pertinent implantation for the more convenient type of turbines. Precise calculation of each wind turbine production (kWh/year)

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• Test and analyse the impact of air quality improvement policies (speed limitations, traffic control, reduction of industrial emissions, fuel formulation…)
• Analysis of previous pollution episodes
• Determine pollutant sources contribution (industry, traffic…) in order to target more precisely priority actions.

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• Tracking in real time of the evolution of air quality (pollution and/or odours)
• Evaluation of site contribution in a global context
• Participation in environmental monitoring systems
• Forecast the air quality levels as a function of future meteorological conditions and foreseen emissions

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