dr.ir. A. Bomers (Anouk)

Universitair docent
ET-CEM-MWM
Horst Complex W219
a.bomers@utwente.nl
+31534891062
Visitekaartje

Expertises

  • Earth and Planetary Sciences

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

Organisaties

Publicaties

2024
Increasing the water level accuracy in hydraulic river simulation by adapting mesh level elevation, Article 106135, 106135 (E-pub ahead of print/First online). 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, 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. University of Twente. Lokin, L.https://doi.org/10.3990/1.9789036560870Improving mesh set-up increase accuracy of discharge capacity representation for water level prediction, 62-63. 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.pdfFast computation of dike breach growth and outflow, 64-65. 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.pdfThe influence of vegetation occurrence on water levels, 110-111. 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, 86-87. Oldenhof, M., Bomers, A. & Hulscher, S. J. M. H.
2023
Neural networks for fast fluvial flood predictions: Too good to be true?, 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, 832-846. Bilgili, E., Bomers, A., Van lente, G. J., Huthoff, F. & Hulscher, S. J. M. H.https://doi.org/10.1002/rra.4110Is riverbank vegetation important for the estimation of flood water levels?In NCR DAYS 2023: Towards 2048: The next 25 years of river studies (pp. 110-111). Netherlands Centre for River Studies. Łoboda, A., Bomers, A. & Duong, T. M.Reconstruction of the 1374 Rhine river flood event around Cologne region using 1D-2D coupled hydraulic modelling approach, Article 129039. Ngo, H., Bomers, A., Augustijn, D. C. M., Ranasinghe, R., Filatova, T., van der Meulen, B., Herget, J. & Hulscher, S. J. M. H.https://doi.org/10.1016/j.jhydrol.2022.129039Application of machine learning for real-time prediction of dike breach inundation, 36-37. Besseling, L., Bomers, A. & Hulscher, S. J. M. H.https://cdn.bullit.digital/kbase/20230411204005/ncr-51-book_of_abstracts_ncrdays_2023_web.pdfImproving mesh set-up to increase discharge capcity accuracy for water level prediction, 54-55. Khorsandi Kuhanestani, P., Bomers, A., Booij, M. J., Warmink, J. J. & Hulscher, S. J. M. H.https://cdn.bullit.digital/kbase/20230411204005/ncr-51-book_of_abstracts_ncrdays_2023_web.pdfThe impact of riverbank vegetation coverage on rising water levels. Łoboda, A., Bomers, A. & Duong, T. M.Towards real-time probabilistic assessment of dike failure and corresponding outflow. Besseling, L., Bomers, A. & Hulscher, S. J. M. H.Improving mesh set-up to increase cross-sectional-area accuracy for water-level prediction. Khorsandi Kuhanestani, P., Bomers, A., Booij, M. J., Warmink, J. J. & Hulscher, S. J. M. H.
2022
Predicting Urban Flooding Due to Extreme Precipitation Using a Long Short-Term Memory Neural Network, Article 105. Kilsdonk, R. A. H., Bomers, A. & Wijnberg, K. M.https://doi.org/10.3390/hydrology9060105River Dune Dynamics During Low Flows, Article e2021GL097127. Lokin, L. R., Warmink, J. J., Bomers, A. & Hulscher, S. J. M. H.https://doi.org/10.1029/2021GL097127Inventing a hydraulic river modelling approach to simulate high flow and low flow conditions, 58-59. Khorsandi Kuhanestani, P., Bomers, A., Booij, M. J., Warmink, J. J. & Hulscher, S. J. M. H.Assessing the performance of an LSTM neural network and a HAND model for long-term real-time flood forecasting, 24-25. Besseling, L. & Bomers, A.

Onderzoeksprofielen

Adres

Universiteit Twente

Horst Complex (gebouwnr. 20), kamer W219
De Horst 2
7522 LW Enschede

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