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1.Climate as a Public Interest in Planning and Zoning
2.Characteristics and Forms of the Urban Climate
3.Energy-Conscious Planning and Zoning
4.Methods of Information Acquisition for Planning (Measurements, Wind Tunnels, Numerical Modelling)
4.1Measurements
4.1.1Stationary Measurements
4.1.2Measurements with mobile measurement devices
4.1.3Tracer Experiments
4.1.4Vertical Soundings
4.2Wind Tunnel
4.2.1Overview
4.2.2Operation and Investigation Methods
4.2.2.1Visualization of flows and pollutant dispersion by smoke
4.2.2.2Wind Velocity Measurements
4.2.2.3Measurement of Concentration Distribution in Dispersal Experiments
4.2.3Locations of Wind Tunnels
4.3Numerical Modelling of Flow and Transport Processes
4.3.1The Wind Field Model DIWIMO
4.3.2The Cold-Air Flow Model KALM and KLAM 21
4.3.3The Model STREET for Estimating Traffic-Produced Pollution
4.3.4The Model MLuS-02 for Calculating Pollutant Dispersal
on Roads Without Dense Peripheral Development
4.3.5The Model PROKAS for Calculating Air Pollution on Roads
4.3.6The Micro-Scale Model MISKAM
4.3.7Mesoscale Terrain Climatic Models
4.3.8The Urban Climate Models RayMan , ENVI-met and MUKLIMO_3
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
Imprint
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METHODS OF INFORMATION ACQUISITION FOR PLANNING (MEASUREMENTS, WIND TUNNELS, NUMERICAL MODELLING)
   
 4.3.5 The Model PROKAS for Calculating Air Pollution on Roads

The model PROKAS (BOESINGER, 1996; VDI 3782, Section 8) calculates air pollution along roads on the basis of a Gaussian dispersal model for individual sections of road and road networks. For the calculation of emissions on roads with dense peripheral development, an integrated building model is employed that uses results based on calculations with MISKAM (see Chapter 4.3.6) as well as results from wind tunnel studies and field experiments.

The emissions densities for individual sections of road are essentially determined by the traffic volumes, the type of driving, the reference year, and the time-elapsed emissions curves of the emissions factors (see Chapter 2.8.1).

In addition, the use of PROKAS requires representative dispersal class statistics with data about the wind velocity, wind direction, and dispersal class distribution.

Comprehensive immission calculations

Figure 4/24 show comprehensive immission calculations for nitrogen dioxide (analysis and prognosis), created through a combination of the PROKAS and LASAT models and the KLAM cold air model. Besides road traffic, the other pollutant source groups (domestic fire, business and industry) were also considered as emissions.

The simulation software LASAT (JANICKE, 1996; VDI-Richtlinie 3945 Bl.3, 2000) calculates the distribution of pollutants by simulating the transport and the turbulent diffusion of a group of representative parts in a stochastic process (Lagrange-Simulation). The information about the wind is fed by three-dimensional windfields. LASAT offers the possibility to regard the terrain and its influence.

More information on comprehensive calculations are available at:
http://www.stadtklima-stuttgart.de/index.php?luft_flaechenbelastung_stgt

 
 
 
Fig. 4/24: Areally NO2 levels in Stuttgart (detail) , forecast for 2015,
Source: Lohmeyer, 2009