EcoStorma - Ecological Economical Stormwater Management

Project: Research project

Project Details


In cause of reduction areas for naturally infiltration existing combined sewers and rainwater channels will often reach their limits of capacity during heavy precipitation.
In the future rainwater management has to be promoted by considering ecological, economical and social aspects, for efficiently using the existing sewage water system, for preventive flood protection, to remain and to improve the groundwater and surface water quality.
In the literature (Austrian ÖWAV Regelblatt 35, German DWA-A138) there are different technical types of rainwater management in obedience of different influencing factors (for example pollution degree, soil conditions, groundwater level, space available etc.) described, as well as the dimensioning of theirs, but there exist no method to evaluate the measurements. The aim of the research project EcoStorma is to develop a method to evaluate rainwater measurements regarding ecological and economical aspects for an easy selection and implementing.
The possibilities for flooding protection, the structural flooding protection and the rainwater management, will be shown in the research project HouSui - Flood Control Measures Model Study Bründlbach (Graz) Strategies for an Integral Urban Drainage Management by using simulation models.
For an economic and ecological analysis we will investigate some different catchment areas from our project partners based on the study of HouSui.
An environmental benefit will be reached by implementing storm water measurements and so special support schemes appear meaningful. In the context of the project EcoStorma we will develop concepts for community and state developments.
The results of the project will be summarized in a structured catalogue for the implementation storm water management measurements in consideration of ecological and economical aspects.
Effective start/end date15/11/1130/06/13


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.