Expertise
Earth & Environmental Sciences
# Dike
# Flood Forecasting
# Floodplain
# Hydrodynamics
# Prediction
# Reinforcement
# River System
# Water Depth
Organisations
Publications
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.
UT Research Information System
Contact Details
Visiting Address
University of Twente
Faculty of Engineering Technology
Horst Complex
(building no. 20), room W209
De Horst 2
7522LW Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Engineering Technology
Horst Complex
W209
P.O. Box 217
7500 AE Enschede
The Netherlands