ET-CEM-MWM

Expertises

  • Earth and Planetary Sciences

    • Flood
    • Model
    • River
    • Event
    • Investigation
    • Time
    • Dyke (Water management)
    • Low Flow

Organisaties

Publicaties

Jump to: 2026 | 2025 | 2024 | 2023

2026

Fast arrival-time modelling of dike breach floods for effective disaster management (2026)Progress in Disaster Science, 30. Article 100565. Besseling, L. S., Bomers, A., Warmink, J. J. & Hulscher, S. J. M. H.https://doi.org/10.1016/j.pdisas.2026.100565Fast spatiotemporal flood modelling after a dike breach (2026)[Contribution to conference › Abstract] NCR Days 2026. Besseling, L. S., Bomers, A., Warmink, J. J. & Hulscher, S. J. M. H.https://cdn.bullit.digital/kbase/20260330140553/NCR_DAYS_proceedings_2026.pdf

2025

Water level simulation in rivers: Exploring alternatives to traditional roughness calibration (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Khorsandi Kuhanestani, P.https://doi.org/10.3990/1.9789036568784Hydraulic river model calibration and validation for comprehensive hydrograph simulation:: Evaluating accuracy across discharge ranges (2025)Journal of hydrology, 660(Part A). Article 133210. Kuhanestani, P. K., Bomers, A., Booij, M. J. & Hulscher, S. J. M. H.https://doi.org/10.1016/j.jhydrol.2025.133210A 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.Evaluating the effect of mesh resolution on hydraulic modeling results under various discharge levels (2025)In River Flow 2024: Proceedings of the 12th International Conference on Fluvial Hydraulics, Liverpool, UK, 2nd - 6th September, 2024 (pp. 399-404). Routledge. Kuhanestani, P. K., Bomers, A., Booij, M. J., Warmink, J. J. & Hulscher, S. J. M. H.https://doi.org/10.1201/9781003475378The development of scour holes in lowland rivers: a review on the hydrodynamic and geotechnical conditions (2025)In Proceedings of the 12th International conference on Fluvial Hydraulics, River Flow 2024 (pp. 199-206). CRC Press/Balkema. Oldenhof, M., 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.Increasing the water level accuracy in hydraulic river simulation by adapting mesh level elevation (2024)Environmental modelling & software, 180, 106135. Article 106135. Khorsandi kuhanestani, P., Bomers, A., Booij, M. J., Warmink, J. J. & Hulscher, S. J. M. H.https://doi.org/10.1016/j.envsoft.2024.106135Real time probabilistic inundation forecasts using a LSTM neural network (2024)Journal of hydrology, 635. Article 131082. Hop, F. j., Linneman, R., Schnitzler, B., Bomers, A. & Booij, M. j.https://doi.org/10.1016/j.jhydrol.2024.131082Understanding and forecasting low flow river dune dynamics in a highly engineered lowland river (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Lokin, L.https://doi.org/10.3990/1.9789036560870Fast 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.pdfImproving mesh set-up increase accuracy of discharge capacity representation for water level prediction (2024)[Contribution to conference › Abstract] NCR Days 2024. Khorsandi Kuhanestani, P., Bomers, A., Booij, M. J., Warmink, J. J. & Hulscher, S. J. M. H.https://cdn.bullit.digital/kbase/20240227205343/ncr-54-book_of_abstracts_ncrdays_2024_web.pdfThe influence of vegetation occurrence on water levels (2024)[Contribution to conference › Abstract] NCR Days 2024. Łoboda, A., Bomers, A. & Duong, T. M.https://cdn.bullit.digital/kbase/20240227205343/ncr-54-book_of_abstracts_ncrdays_2024_web.pdfUnderstanding the long-term dynamics of scour holes in lowland rivers (2024)[Contribution to conference › Abstract] NCR Days 2024. Oldenhof, M., Bomers, A. & Hulscher, S. J. M. H.

2023

Neural networks for fast fluvial flood predictions: Too good to be true? (2023)River research and applications, 39(8), 1652-1658. Bomers, A. & Hulscher, S. J. M. H.https://doi.org/10.1002/rra.4144The effect of a local mesh refinement on hydraulic modelling of river meanders (2023)River research and applications, 39(5), 832-846. Bilgili, E., Bomers, A., Van lente, G. J., Huthoff, F. & Hulscher, S. J. M. H.https://doi.org/10.1002/rra.4110

Onderzoeksprofielen

Adres

Universiteit Twente

Horst Complex (gebouwnr. 20), kamer W200
De Horst 2
7522 LW Enschede

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