Project description
Robotics use cases and Accompanying measures
Through the DRONIC project, the consortium will showcase a new, innovative blue-green algae (cyanobacteria) monitoring and treatment robotic system, that can localize hotpots of blue-green algae blooms and only treats the part of the lake which is experiencing blue-green algae bloom. Because of the direct and localized treatment, the system is environmentally friendly, with a minimal impact on the ecology of the lake.The new water robot concerns the retrieval, prevention and abatement of harmful algae blooms in lakes and in inland water reservoirs used for drinking water production.
In lakes and reservoirs, species of blue-green algae and their concentrations can vary locally due to wind or water flow direction and local variations in temperature, nutrients and depths. In lakes and reservoirs, hotspots of blue-green algal blooms can be often detected only in one area of the water body whereas other area's experience no problems due to blue-green algae. Therefore, it is important to map the algal concentration over extended at flexible, different area's in order to localize algal hotspots. The mobility of the robot will allow targeted intensive algae reduction at hotspot locations, thereby increasing the efficiency of the abatement measure.
Measurements directly related to algae concentration will be combined with measures of water quality and dimension related parameters to locate the algae, make an estimation of the local water quality and hydrographic parameters.
This new robotic approach offers the first cost-effective method to control algal blooms in larger lakes, reservoirs, canals and rivers with low water velocity (< 1 m/s). With DRONIC technology blooms of blue-green algae will be treated locally at the place where the blooms are present and there is no need to treat the complete surface of the lake or reservoir anymore. Besides that, with the local use of higher power ultrasound, also the cyanobacterial by-products like toxins can be neutralized.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyenvironmental engineeringwater treatment processesdrinking water treatment processes
- natural sciencesbiological sciencesmicrobiologyphycology
- natural sciencesearth and related environmental scienceshydrology
- natural sciencesbiological sciencesecology
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Call for proposal
FP7-ICT-2013-10
See other projects for this call
Funding Scheme
CP - Collaborative project (generic)Coordinator
2718 SZ ZOETERMEER
Netherlands