Underlying question: Which are the sources of air pollution?

Air pollutants are released with many economic activities (e.g. electricity and heat generation, industrial processes, transport)and natural processes (e.g. from plants and soils). It is important to know which pollution sources contribute in what way to overall emission.

While large pollution sources (e.g. power plants) can be monitored easily, the numerous small emission sources (e.g. residential heating, motor vehicles) have to be estimated using a variety of statistical data. Emission inventories require a powerful and transparent data management. The emikat system allows the integration of emission-relevant activity data (e.g. from surveys, traffic models or statistics) as well as the definition and analysis of emission scenarios.

The emikat “scenario manager” makes it possible to compare different data sources of emission-generating activities, different assumptions about possible emission control measures, and alternative calculation models and methods.

  • manages all data necessary for the calculation of emissions
  • takes into account the temporal and spatial dimension of emissions
  • allows a simulation of air pollution control
  • is an interactive information system that can manage and visualise emission inventories in very high spatial detail

Emissions can be summarised for source categories, industry sectors and geographic units. All emission data are documented as standard SNAP and NFR/CRF system. supports the requirements of health and environment administrations as well a physical planning, for example with respect to legal requirements such as air pollution control legislation and zoning laws.

Scenarios for the air pollution control

Emission inventories indicate which polluters contribute to the air pollution, where they are located, and when the emissions take place. Thus they are a basis for dispersion models that calculate the impact of emissions on ambient air pollution. That is why emission inventories are the key element for the definition of effective and efficient control measures. But that also means that emission inventories must provide the opportunity to define and evaluate “what-if” scenarios. For example: what would be the impact – in which areas and which period of time – of an extension of district heating in urban agglomerations? How effective are traffic restrictions for summer ozone reduction?

The solution: as a tool for managing emission inventory data.