The EMIKAT system is a complete system for emission data management.

Air pollutants are emitted by many economic activities (e.g. electricity and heat production, industrial processes, traffic) and also by natural processes (e.g. plant and soil respiration). It is important to know which polluters contribute to the pollutant emissions. While large polluters (e.g. power stations) can be individually accounted for, the many small sources of emissions (e.g. heaters, cars) must be projected from statistics. Emissions inventories require powerful and transparent data management.


The functionalities of the EMIKAT system range from the integration of specific emissions data (e.g. from evaluations, traffic models or statistics) up to qualified evaluation via freely definable scenarios. The scenario manager permits the comparative consideration of different volumes of data in comparisons between years or as measure and model comparison.

  • EMIKAT administers all data necessary for the computation of emissions.
  • EMIKAT considers the spatial and temporal dimension of the emissions.
  • EMIKAT permits the simulation of air pollution control measures.
  • EMIKAT is an interactive information system, which can represent any detail of emissions inventories.

Emissions data can be summarized on the level of the group of emitters, the air pollutant quantity or the groups of polluters and industries. The emissions data is documented in SNAP, the European standard system.EMIKAT supports legal and administrative enforcement, such as the ozone law, air pollution control law and also the smog alarm and small or domestic fire regulations.

Scenarios for air pollution control planning:

Emissions inventories show when, where and which polluters are contributing to air pollution. The concentrations of air pollutants can be determined from the emissions data in combination with air chemical models. Inventories are therefore a requirement for the meaningful planning of measures. In addition, that means that inventories must offer the possibility of defining and evaluating "what-if" scenarios. For example: How effective are long-distance heating systems, how far will their impact reach, and how long will it take to produce measurable results? How effective are restrictions of passenger car traffic for ozone reduction in the summer?