Imagine the city as a giant sponge that picks up oil, plastics, and chemicals every time it rains. Instead of letting this toxic soup flow straight into rivers, this system uses smart sensors to spot the bad stuff in real-time. It then uses a mix of natural greenery and engineered filters to clean the water before it leaves the city.
Cities struggle to monitor and stop 'invisible' emerging pollutants in rain runoff from entering natural waters. Current regulations are limited because we lack the tools to detect these chemicals in real-time and the design tools to build effective natural filters.
A prototype integrated monitoring system with sample preparation and detection modules, and an AI-supported digital platform for urban runoff management.
If you are a water utility dealing with unknown chemicals in storm water — this project developed online sensors and an AI platform that identifies pollutants and suggests the best natural filtration sites.
If you are a firm designing city drainage dealing with climate change floods — this project developed a GIS-integrated decision tool that helps place hybrid nature-based solutions to prevent pollution hotspots.
If you are a hardware company dealing with the lack of real-time water quality data — this project developed a prototype monitoring system including sample preparation and detection modules for emerging contaminants.
Based on available project data, specific pricing is not mentioned, but the objective is to develop 'cost effective' advanced online sensors.
The project is currently in the prototype and validation phase, with plans to implement the approach in 3 case studies and 5 replication sites.
Based on available project data, there is no specific mention of licensing terms, though the project involves 7 industry partners who may hold shared IP.
Yes, it is designed to impact the Water Frame Directive and the Urban Waste Water Directive by closing knowledge gaps on emerging pollutants.
The project uses a Multiple-Criteria Decision Analysis methodology integrated into Geographical Information Systems (GIS).
The consortium is heavily weighted toward commercial application, with 7 industry partners (50% of the 14 total members), including 3 SMEs. This high industry presence, combined with partners from 5 different European countries, suggests a strong focus on market viability and cross-border scalability rather than purely academic research.
Contact VANDCENTER SYD AS in Denmark
Contact us to connect with the D4RUNOFF sensor prototype developers.
