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1.Climate as a Public Interest in Planning and Zoning
2.Characteristics and Forms of the Urban Climate
2.1Overview
2.2Urban Heat Budget
2.3Urban Heat Islands
2.4Humidity / Precipitation / Vegetation
2.5Wind
2.6Bioclimate
2.7Air Exchange
2.8Pollutant Emissions
2.8.1The Traffic as Pollutant Source
2.8.2Computational Estimation of Traffic Immissions
2.9Pollutant Levels and Threshold Values
2.9.1Limits and Assessment values
2.10Effect of Pollutant
2.11Climate Change
2.11.1Climate Change in Germany
2.11.2Prevention of Climate Change
2.11.3Adaption to Climate Change
3.Energy-Conscious Planning and Zoning
4.Methods of Information Acquisition for Planning (Measurements, Wind Tunnels, Numerical Modelling)
5.Climatic and Air Hygiene Maps as Aids for Planning and Zoning (Example: Climate Atlas Federation Region Stuttgart)
6.Recommendations for Planning
7.Bibliography
8.Thematic Websites
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CHARACTERISTICS AND FORMS OF THE URBAN CLIMATE
   
 2.8.2 Computational Estimation of Traffic Immissions

In order to estimate levels of pollution on roads it is necessary for a model to reproduce the causal relationship emission – transmission – immission as exactly as possible. The result is a so-called "dispersal model." Input values include data about traffic (traffic counts, driving behavior), meteorology (wind flow and dispersion conditions), and the geometric border conditions (topography) (Fig. 2/20).

A typical basis for such a calculation is the construction of a Gauss distribution (Gauss model) for the concentrations on those streets (typically without bordering development) to be considered as linear sources (e.g. Prokas model – see Chapter 4.3.5).

A more empirical basis is employed in the Merkblatt über Luftverunreinigungen (Instruction Booklet for Air Contamination on Streets – MLuS-02) (see Chapter 4.3.4), which sets forth the reduction functions for individual pollutants depending upon the distance from whence they are measured.

Substantially more complex is the calculation of concentrations according to a Lagrange model (JANICKE, 1990). This involves releasing discrete particles representing air pollutants at various locations across the road area and calculating their subsequent paths (trajectories). Since the particles must be so small that they directly follow the turbulence in the atmosphere, the calculation of many such trajectories (several tens of thousands!) produces a spatial distribution that corresponds to the distribution of pollutant concentrations.

Box models in various modified forms are typically used for street canyons (see Chapter 4.3 und auf die Zusammenstellung bei LUBW (2010).

In contrast to the dispersal of pollutants from relatively freestanding streets, the dispersal in street canyons (Fig. 2/21) takes place under strongly altered conditions resulting from the whirlpool formations occurring there (Fig. 2/22). In particular, the buildings that form the borders of street canyons impede the removal of pollutants. The width of the street plays a deciding role here. Due to the circulation patterns arising from whirlpool formation, the windward and leeward sides of the road have different pollutant levels.

 
 
 
Fig. 2/20: Schematic diagram of dispersal calculations for air pollutants on roads, Source: GEOMET (1987)
 
Fig. 2/21: Urban street canyon with heavy automobile traffic
 
Fig. 2/22: Schematic depiction of turbulence in street canyons with lengthwise airflow