Earth & Environmental Sciences
# Dike # Flood Forecasting # Floodplain # Hydrodynamics # Prediction # Reinforcement # River System # Water Depth
Besseling, L. , Bomers, A. , & Hulscher, S. J. M. H. (2023). Towards real-time probabilistic assessment of dike failure and corresponding outflow. Abstract from 40th IAHR World Congress: Rivers - Connecting mountains and coasts, Vienna, Austria.
Besseling, L. , Bomers, A. , & Hulscher, S. J. M. H. (2023). Application of machine learning for real-time prediction of dike breach inundation. 36-37. Abstract from NCR Days 2023, Nijmegen, Netherlands. https://cdn.bullit.digital/kbase/20230411204005/ncr-51-book_of_abstracts_ncrdays_2023_web.pdf
Besseling, L. , & Bomers, A. (2022). Assessing the performance of an LSTM neural network and a HAND model for long-term real-time flood forecasting. 24-25. Abstract from NCR days 2022, Delft, Netherlands.
Bomers, A. , Besseling, L. , & Hulscher, S. J. M. H. (2022). The development of a fast-computing emulator to predict dike failure during severe flood events. In M. Ortega-Sánchez (Ed.), Proceedings 39th IAHR World Congress, 19-24 June 2022, Granada, Spain IAHR. https://cmswebonline.com/iahr2022/epro/pdf/08-03-053-1239.pdf