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IMMIS■■■

IMMIS■■■ provides a comprehensive program set to evaluate traffic-induced emission and air pollution. The IMMIS■■■ models are integrated in GIS thus retaining the spatial reference in data used for environmental planning.

Meso scale

Modelling of regional background concentration using IMMISnet

Screening

State-wide or city-wide air pollution analysis of main roads using IMMISluft and IMMIScpb

Micro scale

Spatial distribution of pollutant concentrations in the vicinity of a hot spot using LASarc

IMMISem – calculation of emissions

  • calculation of emissions of road traffic

  • based on Handbook emission factors for road transport (HBEfa) and VDI 3782 Blatt 7

  • cold start model for different road conditions

  • integrated Level-of-Service model

  • modelling of vehicle-specific emissions

  • determination of emission time series

IMMISnet – background concentration

  • Gaussian multi-source dispersion model

  • calculation of regional and urban background

IMMISluft – citywide screening

  • screening model to assess air pollution in city street canyons

  • fast and easy to use

  • characteristics according to EU directives

IMMISarc – GIS integration of IMMIS models

  • integration of IMMIS■■■ models into the geogra-phical information systems ArcGIS® and MapInfo®

  • model data = GIS data (no redundancies)

  • editing, correction, completion and adjustment of data using the editing tools of the GIS

  • results of calculation as GIS data for direct processing

  • support of ESRI’s geodatabase

IMMIScpb – micro scale calculations in street canyons

  • complex individual case studies based on real street geometries

  • calculation of hourly values

IMMISmt – screening system for real-time monitoring

  • monitoring system for city-wide calculation of air pollution based on constantly updated traffic data

  • real-time modelling

  • scalable and modular

  • Module for database-based archiving system

  • Module for visualization of input data and model results on the website immis-mt.ivu-umwelt.de

  • Module for prediction of city-wide air pollution levels