EMIS: Environmental Management Information System

Simulation models: air quality
EMIS maintains a range of dynamic simulation models for atmospheric dispersion and photochemical reactions, and dust entrainment, transport and deposition, that can be used both for automatic, scheduled forecasting and now-casting runs (modeling cum monitoring, data assimilation) but also interactively for scenario analysis, planning, and environmental impact assessment.

Air quality

EMIS can integrate a basic version of the AirWare system and its functions. At the top layer, this includes a regional model to provide dynamic boundary conditions in real-time for all local high-resolution dispersion models.

The regional air quality modeling is driven by 3D prognostic meteorological models (MM5 or WRF) and the nested grid photochemical model CAMx producing regular 5 day (120 hours) forecasts that can be updated every six hours, and use local monitoring data of ambient air quality for real-time data assimilation.

Within this framework local models for the individual sources and source groups of the industrial estate are operated automatically, on an hourly now-casting basis and again with the option of real-time data assimilation.

Specific interactive functions include scenario analysis and comparison, EIA for new or modified emissions, and support for the optimal location of monitoring stations.

A major component is the multi-criteria optimization of emission control strategies and technologies, that includes GHG and CO2e, thus supporting not only environmental compliance, but also energy efficiency and the Kyoto protocol emission reduction targets.

Another important application is emergency management: in the case of an accidental release of a hazardous substance that evaporates at least in part to the atmosphere, the release of a toxic, flammable or explosive gas, or a chemical fire and potentially toxic smoke, the readily available detailed meteorological forecasts and the atmospheric dispersion models can immediately be used to forecast the evolution of an emergency over time and its spatial extent, providing valuable information for first responders, fire fighters, and the emergency response teams in general.

Hamriyah/HFZ, 3 day forecast, hourly time step, NO2  

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