AI is reshaping the world of water
Expert(s) |
Hanneke van der Klis
For years, water managers have relied on complex numerical models to predict water levels and soil behaviour. But artificial intelligence is changing the game. Hanneke van der Klis, strategic advisor at Deltares, explains: “We’ve built incredibly sophisticated numerical models that use mathematics to describe how water moves and how the ground behaves. But now, machine learning techniques are stepping in, they can calculate at lightning speed, using trusted simulations as their foundation.”
Smart predictions, not slow calculations
Machine learning is opening up huge opportunities. Rijkswaterstaat is fully committed to this in the coming years, working closely with Deltares, KNMI and industry partners. Thanks to this technology, scenarios can now be calculated in seconds rather than hours. The faster we understand what’s happening, the quicker we can act to limit damage and protect people.
Collaboration drives innovation
AI doesn’t work in isolation. Its strength lies in the collaboration between domain experts and AI specialists. At Deltares, the most effective solutions emerge when experts sit side by side to develop new models together. “Digitalisation — with AI as a major part — is not something anyone can tackle alone,” says Hanneke van der Klis. Innovation platforms like Digishape play a key role here, bringing together public bodies, research institutes and businesses to address societal challenges.
Smarter use of the subsurface
A concrete example of AI in action is subsurface modelling for construction projects. Limited knowledge of soil structures and groundwater flows can lead to risks and delays. AI helps pinpoint where drilling and measurements are most needed. “The subsurface is literally a black box,” says Hanneke. “But with machine learning, you can make much smarter choices about where to drill or carry out geotechnical investigations.” This not only saves costs but also improves safety. AI speeds up and deepens our understanding of complex soil processes.
From meteorology to water management
Meteorology is ahead of the curve in using AI for weather forecasting — and that expertise is now flowing into the water sector. Deltares is working with KNMI and Rijkswaterstaat on a four-year programme to develop new models for predicting water levels in rivers, lakes and coastal areas. “Wave calculations can easily take five hours to run,” Hanneke explains. “That’s far too long if you need to monitor conditions continuously.” Machine learning enables ultra-fast, data-driven models based on existing simulations. These allow us to explore many more scenarios and better manage uncertainties in weather forecasts.
AI as a catalyst for change
DAI in the water sector isn’t just about speed — it’s fundamentally changing how we deal with risks and decision-making. The collaboration between Deltares, KNMI and Rijkswaterstaat shows how knowledge institutes and government bodies are joining forces to drive digital innovation. “There’s a strong need to deal more effectively with uncertainty,” says Hanneke. “That’s why they’re embracing this technology.”
The podcast
In the Built by AI podcast, Hanneke van der Klis shares her vision on the role of AI in water management, and how knowledge institutes, governments and market players are working together to solve this complex puzzle. The episode offers an inspiring look at how AI is transforming both the water and construction sectors — from foundation issues to flood forecasting, from collaboration to computing power.
