WaterITech’s Post

How can we build a durable Smart Watch for an aquatic ecosystem? Something that can monitor the health of a river, lake, wetland, reservoir or fjord ecosystem in real-time and also follow long-term trajectories. So that you will know if the water quality trend is improving or deteriorating. This is something we have discussed for years at WaterITech and also while doing research at Aarhus University. Well, we now have a solution for this – or at least all the building blocks for the solution, which temporarily is taking up space in our meeting room as you can see on the picture. For more than a decade, we have tested and used some of the most advanced water quality sensors available to monitor the state of the water environment – often based on expensive sensors, which typically require a lot of servicing, regular maintenance and recalibrations. Real-time water quality monitoring can therefore be a costly affair. To enable a much more widespread use of real-time water quality sensing, WaterITech and WaterWebTools have joined forces to build a low cost and low maintenance monitoring system, which combines some of the most durable water quality sensors with advanced AI-based data processing. It is well documented how metabolism, including gross primary production and ecosystem respiration, can be derived from high-frequency oxygen measurements based on advanced data processing and modelling. These metabolism parameters are strongly linked to traditional water quality parameters, such as algae and nutrient levels. We are currently making this scientific insight operational through a seamless integration of our customizable data buoy and a new Metabolism app in the WaterWebTools Platform. The first monitoring systems are already sold and currently being assembled, and will be delivered for installation in two lakes in Denmark in March. Stay tuned for launch. More are already in the pipeline. If you are interested in more details about the data buoy and concept, and how you can get your hands on one, please check out our website https://lnkd.in/dYyeWwBR.

data buoy | WaterITech

data buoy | WaterITech

wateritech.com

Peter Mejlhede

Biolog hos Institut for Bioscience - Aarhus Universitet

9mo

Spændende 😀

Like
Reply

To view or add a comment, sign in

Explore topics