EUREKA FLOODVIEW Kluster ACQ
| Reference number | |
| Coordinator | Lunds universitet - Institutionen för bygg- och miljöteknologi |
| Funding from Vinnova | SEK 4 922 739 |
| Project duration | September 2016 - September 2019 |
| Status | Completed |
| Venture | Eureka cluster co-funding |
Purpose and goal
The objective was to create a decision support system for visualizing the effects of precipitation with a warning system. The system was developed with extensive data collection/processing and integration/further development of selected tools with focus on both technical, municipal sector and insurance industry and others. The system of reality-based scenario analysis is expected to have great practical potential for decision-makers at different levels, not least for technical staff but also for non-technical officials and are expected to fulfill the aim and objective.
Expected results and effects
The project had 8 work packages (WP) with defined sub-objective. The project meets the set objective well. Overall, we are very pleased with the results of the project. We believe that the results we have developed will have enormous potential for future work. The collaboration with Canadian partners adds another dimension to the project. The web-based decision support system (DSS) has received a lot of attention during the demonstration. We strongly believe that the web-based DSS system can and should be developed and improved in a future project to the benefit of the water sector.
Planned approach and implementation
In the two pilot cities, data on sewage and drainage conditions are collected. To this are added long-term climate change models as well as detailed weather data from weather forecasts. Finally, data from different types of applications such as LID, methods to reduce the effect of rainfall. From this data is built a database and decision support system that clearly and easily accessible shows the effect of both future rainfall and different types of rainfall in existing and newly built areas. All tools are integrated into a web-based decision support system.