Expertise
Earth and Planetary Sciences
- Machine Learning
- Flood Forecasting
- Flood
- Model
- Real Time
- Dyke (Water management)
- Event
Engineering
- Hydrodynamic Model
Organisations
Publications
2025
A conceptual model to quantify probabilistic dike breach outflow (2025)Natural hazards, 121(15), 17935-17963. Besseling, L. S., Bomers, A., Warmink, J. J. & Hulscher, S. J. M. H.https://doi.org/10.1007/s11069-025-07500-zDiscussing 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
Address
University of Twente
Horst Complex (building no. 20), room W218
De Horst 2
7522 LW Enschede
Netherlands
University of Twente
Horst Complex W218
P.O. Box 217
7500 AE Enschede
Netherlands
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