Rechnergestützter Entwurf kostenoptimaler Dachbegrünungsstrategien zur Verminderung der Staubbelastung in Ballungszentren wie Berlin und Madrid

In view of an increased environmental consciousness of the city-population, the European cities are faced with the task to improve the urban bioclimatic situation perceptibly. Consequently, the immission of dust, noise and other stress factors have to be restrained significantly. At the same time, urbanity has to be preserved and developed. Both aims (urban ecology and urbanity) are subject to strong economic and social restrictions. By that, the urban environmental policy in Europe comes into numerous and partly serious conflicts of aims. Optimising by conventional methods is hardly successful in view of a high complexity and huge databases. Models for the choice of optimal combinations of tools are necessary to achive a maximum of urban ecological effects with a minimum of financial expenditure for the city. We create a tool for urban planning processes which is a coupling of a Geographical Information System (GIS)(SPANS) and an innovative multicriterial Decision Support System(REH). It will be especially appropriate for factories of construction industry especially with roof landscaping technologies, architect's offices and agricultural factories. The aim of the investigations is the reduction of environmental pollution in urban regions. Especially the atmospheric dust pollution will be reduced by construction of new plants greenery on roofs of buildings.