The Dutch water authority Waterschap Aa en Maas is responsible for maintaining thousands of kilometres of watercourse around the Aa and Maas rivers, ensuring that drainage capacity remains high, and local ecology is protected.
Balancing these often conflicting goals can be extremely challenging. Watercourse could be mowed frequently, keeping drainage high, but over mowing can cause significant ecological damage and impact river wildlife and vegetation.
To balance their objectives, the water authority wanted to find a better way of understanding exactly where and when mowing was needed, using detailed data and modelling drainage gradients across the watercourse.
Aa en Maas engaged Royal HaskoningDHV Digital to help it develop a data science model that could clearly show where drainage capacity is being significantly impacted by vegetation and other environmental factors.
Working closely with hydrologists, management and maintenance experts, policy staff, ecologists and area managers, we mapped out all the available data, and began devising a new way to process and visualise it all together.
Together with the water authority’s data lab, we developed a proof of concept model capable of estimating the current gradient caused by vegetation by looking at water levels, flow rates, weather data, geological data, time characteristics and other data sources.
Have a question, comment or business enquiry? Talk to one of our experts to see how we can help.
Want to stay up to date with the latest in data solutions? Our newsletter has you covered.