Expertises
Earth & Environmental Sciences
# Dike
# Flood Forecasting
# Floodplain
# Hydrodynamics
# Prediction
# Reinforcement
# River System
# Water Depth
Verbonden aan
Publicaties
Recent
Besseling, L.
, Bomers, A.
, & Hulscher, S. J. M. H. (2023).
Application of machine learning for real-time prediction of dike breach inundation. 36-37. Paper presented at 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.
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Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Engineering Technology
Horst Complex
(gebouwnr. 20), kamer W209
De Horst 2
7522LW Enschede
Postadres
Universiteit Twente
Faculty of Engineering Technology
Horst Complex
W209
Postbus 217
7500 AE Enschede