Expertise
Earth and Planetary Sciences
- Machine Learning
- Flood Forecasting
- Flood
- Model
- Real Time
- Dyke (Water management)
- Event
- Network
Organisations
Publications
2025
Discussing alternative fast dike breach flood models (2025)[Contribution to conference › Abstract] NCR DAYS 2025. Besseling, L., Bomers, A., Warmink, J. J. & Hulscher, S. J. M. H.
2024
Data accompanying the publication: Predicting Flood Inundation After a Dike Breach Using a Long Short-Term Memory (LSTM) Neural Network (2024)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Besseling, L. S., Bomers, A. & Hulscher, S. J. M. H.https://doi.org/10.4121/6fd289d8-ec0e-4dd9-94fd-4566783e9c3dPredicting Flood Inundation after a Dike Breach Using a Long Short-Term Memory (LSTM) Neural Network (2024)Hydrology, 11(9). Article 152. Besseling, L. S., Bomers, A. & Hulscher, S. J. M. H.https://doi.org/10.3390/hydrology11090152Fast flood modelling after dike breaches:: machine learning or conceptual models? (2024)[Contribution to conference › Abstract] 12th International conference on Fluvial Hydraulics, River Flow 2024. Besseling, L., Bomers, A. & Hulscher, S. J. M. H.Fast computation of dike breach growth and outflow (2024)[Contribution to conference › Abstract] NCR Days 2024. Besseling, L., Bomers, A., Warmink, J. J. & Hulscher, S. J. M. H.https://cdn.bullit.digital/kbase/20240227205343/ncr-54-book_of_abstracts_ncrdays_2024_web.pdf
2023
Application of machine learning for real-time prediction of dike breach inundation (2023)[Contribution to conference › Abstract] NCR Days 2023. Besseling, L., Bomers, A. & Hulscher, S. J. M. H.https://cdn.bullit.digital/kbase/20230411204005/ncr-51-book_of_abstracts_ncrdays_2023_web.pdfTowards real-time probabilistic assessment of dike failure and corresponding outflow (2023)[Contribution to conference › Abstract] 40th IAHR World Congress: Rivers - Connecting mountains and coasts. Besseling, L., Bomers, A. & Hulscher, S. J. M. H.
2022
Assessing the performance of an LSTM neural network and a HAND model for long-term real-time flood forecasting (2022)[Contribution to conference › Abstract] NCR days 2022. Besseling, L. & Bomers, A.The development of a fast-computing emulator to predict dike failure during severe flood events (2022)In Proceedings 39th IAHR World Congress, 19-24 June 2022, Granada, Spain (Proceedings of the IAHR World Congress). IAHR. Bomers, A., Besseling, L. & Hulscher, S. J. M. H.https://cmswebonline.com/iahr2022/epro/pdf/08-03-053-1239.pdf
Research profiles
Courses academic year 2023/2024
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Address
University of Twente
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Netherlands
University of Twente
Horst Complex W218
P.O. Box 217
7500 AE Enschede
Netherlands
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