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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
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METHODS OF INFORMATION ACQUISITION FOR PLANNING (MEASUREMENTS, WIND TUNNELS, NUMERICAL MODELLING)
   
 4.1.2 Measurements with mobile measurement devices

In order to account for the high spatial and temporal variation of urban climatic parameters, additional ambulatory measurements can be helpful. They can be carried out from the air, in a vehicle, on a bike or afoot. The equipment of integrated climate and air measurement vehicles is similar to that of measuring stations, i.e. that they simultaneously collect all major meteorological variables and air pollutants (Fig. 4/3). Remoter and more isolated places may require an all-terrain vehicle. Navigation systems help to reach pre-defined measuring points most accurately.

Depending on the assigned task, measurement periods at one place can vary significantly. It is essential to consider at least the time needed to set the individual measurement devices and to exclude interferences from one"s own vehicle. For a representative local sampling, other requirements might need to be considered. Simultaneous measurements at different places demand several measuring vehicles; otherwise (e.g. for grid measurements) one vehicle is sufficient. The temporal representativeness necessary for a comparison can be achieved in the long run by varying the starting times and starting points so that, in the course of one year, the same measuring point is served for example at different times of the day, of the week and of the year. It is advisable, however, to synchronise the data with a continuously collecting measuring station within the area under investigation.

Figure 4/4 shows the result of temperature measurement sequences in the area of a large city park and its surroundings in Stuttgart (KNAPP, 1998). One can recognize the lower air temperatures in the park and its immediate vicinity. A deep penetration of cool air is only visible where the relief supports a cold air flow.

Location-based data can also be obtained through remote sensing procedures (e.g. IR thermal scans) from aircraft or satellites. Since these are usually taken at only a few points in time (see also Chapter 5.2), their representative accuracy must first be proven.

 
 
 
Fig. 4/3: Mobile measuring system for air pollutants and meteorological variables

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Fig. 4/4: Distribution of air temperatures in the vicinity of central-city parks in Stuttgart, obtained from measurements taken while driving; KNAPP, 1998