The AirQUIS emission module includes templates for import of source data and emission data as well as a modern emission inventory data base with emission models.
For modelling purposes the sources of air pollution are divided in three categories:
1) Point sources:
Emissions from single activities of some size, like industries, power plants, incinerators etc., characterised by emissions from single stacks.
2) Line sources:
Emissions from road traffic, streets and high ways, shipping, railways
3) Area sources:
Emissions from open air burning, home heating, public and private services, agricultural activities, minor roads are treated as area source etc. These sources may also be converted to grid.
Regardless of being point, line or area distributed, emission data can be retrieved either as direct emission data for different components, or as a set consisting of consumption data and emission factors for the components for different fuels and activity types. The emission data usually comes as yearly data, and a set of time variation factor is used to find the fraction of the yearly value that is valid for a specific period within the year.
Selection Criteria for Emissions
The emission data scenario is easily created through selection for region, source sectors, fuel types, vehicle classes, roadclasses. By using the functionality selection by polygon/rectangle on geographical areas via the map, the user can select emission sources in side the drawed area.
Congruent with CORINAIR
The user defines the AirQUIS emission and consumption database structure. It has a hierarchical structure containing of different layers with inter relationships. In Norway, emission data is structured by the Norwegian Bureau of Statistics (SSB) and imported directly into AirQUIS by an efficient import wizard. The structure of the SSB is a simplified version of SNAP95.
The emission module can calculate all combinations of emissions in an area, such as total emissions of a component in selected areas or divided into source categories in a selected time period. The aggregation tool can also be used to obtain selected values such as maximum, minimum, average, sum and selected percentiles.