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BLUE café: Machine learning approaches to river water level and flood forecast
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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Sep 2, 2020 02:00 PM in Universal Time UTC

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Chengzi Chew
Business development, emerging technologies @DHI
Chengzi oversees business development for emerging technologies in DHI. He has a background in hydro-informatics and water management and is curious about all things in technology. Reach out for collaborations and partnerships.
Nicola Balbarini
Water resources engineer @DHI
Nicola has experience in research and development within water resources management in various places in the world. He has an expertise in surface water and groundwater modelling, including application of AI technology for forecasting hydrological conditions in rivers. He has also participated in the development of operational flow and flood forecasting services in Denmark.
Rafal Bodziony
IT specialist @DHI
Rafal is a data scientist focussing on solving real-world problems with Machine Learning. Recent research and development includes Time Series Forecasting and Image Recognition Applications. He is passionate about automating data intake and big data processing.