Phase 2: Production of Maps with Planning Guidelines
Phase 2 started in February 2000 and was finished end of October 2000. Basically, the map enables regional and urban planners preserving and improving health conditions and living quality for the inhabitants of the study region. Therefore, the map contains spatially distributed, highly aggregated information. In addition, the generation of the underlying digital layers is automated and independent of the particular expertise of the climatologist in charge.
Spatial distributions of potential ventilation situations and areal types serve as input data into a rule-based classifier. The classification algorithm was originally developed in the KABA-project, but modified and improved for the purposes of CAMPAS.
Three main problem sections (PS) concerning ventilation, air quality and thermal situation were selected reflecting the most important demands in urban and regional planning. Each of them includes specific planning objectives (PO). Not shown in the table is the catalogue of appropriate planning measures individually assigned to each of the planning objectives.
Tab.1: Problem sections and corresponding planning objectives defined in CAMPAS.
| Code | Problem section | Objectives |
|
A |
Ventilation |
1 Maintain ventilation path 2 Improve ventilation path 3 Restore connection to ventilation path 4 Reduce risks of hazards caused by wind |
|
B |
Air quality |
1 Maintain transport of fresh air 2 Reduce air pollution in sensible areas |
|
C |
Thermal situation |
1 Reduce heat load 2 Reduce negative effects of frost or cold stress |
Using the above mentioned approach, each problem section was classified individually for each grid grid element of the study region resulting in spatial distributions of corresponding POs. Once a grid element is classified to belong to a certain PO of a specific PS, the classification process is finished for this PS. Therefore, the sequence of applying the rules is essential. Finally, three spatially distributed information layers (one for each PS) represent the result of the classification process.
In theory, 5x3x3 possible combinations of planning objectives exist for each grid element. However, some combinations are excluded by the rules of the classifier, while others are not relevant for the study region. A thorough investigation, including validation studies by the involved planners, proved that only those eleven combinations shown in table 2 are significant. They describe the need of action along with corresponding planning measures. For example, combination 021 means no objectives to deal with in problem area A, but objective 2 is valid for problem area B, as well as objective 1 in problem area C. The spatial distribution of these eleven combinations, displayed in the map, was obtained by the digital intersection of the PO distributions of each PS.
Tab.2: Combinations of problem sections used in CAMPAS.
| Color | A Ventilation | B Air quality | C Thermal Situation |
|
|
0 | 0 | 0 |
|
|
0 | 2 | 0 |
|
|
0 | 2 | 1 |
 |
0 | 2 | 2 |
 |
1 | 1 | 0 |
 |
1 | 1 | 2 |
 |
2 | 2 | 0 |
 |
2 | 2 | 2 |
 |
3 | 2 | 0 |
 |
3 | 2 | 1 |
 |
4 | 0 | 2 |
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