Traffic-related Emissions and Immissions 2014

Methodology

The basis for the presentation of motor vehicle traffic emissions was provided by the traffic counts on the primary road network in Berlin carried out in 2014. As described in the chapter “Ascertainment of emissions,” the traffic-related pollutants for the 2014 count network were calculated on this basis.

Evaluation of emissions quantities

The map shows the spatial distribution of traffic-caused emissions. In order to achieve the classification of the emissions quantities, four emissions classes were established, oriented towards the distribution of absolute emissions in Berlin’s primary road network.

To differentiate these classes, the two indicators with a special air-hygienic significance for determination of air quality levels, the pollutants nitrogen oxides (NOx) and particulate matter (PM10), were used. First, groups of 10 percentage ranges (“deciles”) were calculated for each substance separately, on the basis of a sizing of the material and the emission levels per substance and section. In a further step, combined groups were formed for NOx and PM10, respectively.

The assignment of the decile ranges to groups, with evaluations, are shown in Table 3.

Tab. 3: Grouping of emissions quantities in the primary road sections, based on the indicators NOx and PM10

Tab. 3: Grouping of emissions quantities in the primary road sections, based on the indicators NOx and PM10

Assignment to one of the four emissions classes does not allow direct conclusions to be drawn regarding the pollution/immissions situation in the respective section. For this purpose, separate calculations for concentrations of major substances are carried out (see Map 03.11.2 Traffic-Related Air Pollution).

Data display for the Map

The data displayed in the Geoportal provides detailed information about the road section selected. In addition to the key number of the section, they show the following parameters:

  • Length of road section [m]
  • Name of road section
  • Average daily traffic volume (DTV)
  • Number of passenger cars per day
  • Number of heavy trucks (> 3.5 t) per day
  • Number of light trucks (< 3.5 t) per day
  • Number of city buses per day
  • Number of travel buses per day
  • Number of motorcycles per day
  • Source of data traffic count, 2014
  • Nitrogen dioxide emissions in [g/(m/day)]
  • Nitrogen oxides emissions in [g/(m/day)]
  • Exhaust particle emissions in [g/(m/day)]
  • PM10 particulate emissions in [g/(m/day)]
  • PM2.5 particulate emissions in [g/(m/day)]
  • Benzene emissions in [g/(m/day)]
  • Carbon monoxide emissions in [g/(m/day)]
  • Carbon dioxide emissions in [g/(m/day)]
  • Hydrocarbons emissions in [g/(m/day)]
  • Soot emissions in [g/(m/day)]
  • Sulphur dioxide emissions in [g/(m/day)]
  • Methane emissions in [g/(m/day)]
  • Non-methane hydrocarbon emissions in [g/(m/day)]
  • Toluene emissions in [g/(m/day)]
  • Xylene emissions in [g/(m/day)]
  • Ammonia emissions in [g/(m/day)]
  • Nitrous oxide emissions in [g/(m/day)]
  • Benzo(a)pyrene emissions in [g/(m/day)]
  • Evaluation of the emission levels based on NOx and PM10.