BLUE café is a new series of webinars hosted by DHI. It is an informal virtual space to share and discuss the results of our latest research and innovation projects.
During this free one-hour webinar, we’ll explore the role of machine learning for forecasting water levels and flooding and also share some results the Danish Environmental Protection Agency (DEPA) achieved using this technology.
Here’s a bit of background information on the aforementioned case study. The DEPA requested a simple data-driven method for flood mapping and flood forecasting, which could easily be upscaled to cover the entire country. The flood mapping method chosen takes into account on-site measurements of stream water levels, bathymetry information and a Digital Elevation Model (DEM). Stream water levels are forecasted using an artificial neural network algorithm. With this machine learning method, the stream level was predicted for the coming 24 hour period.
The method succeeded in meeting a DEPA set target of maximum 15 cm error in the predicted water levels 96% of the time within the pilot study area during a two-year simulation.
Join us with your headset and avoid direct sunlight. Bring coffee and we’ll supply the music!
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