Leon S. Besseling

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6 Abstract
2 Article
1 Conference contribution

A conceptual model to quantify probabilistic dike breach outflow
Besseling, L. S., Bomers, A., Warmink, J. J. & Hulscher, S. J. M. H., Aug 2025, In: Natural hazards. 121, 15, p. 17935-17963 29 p.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File
1 Link opens in a new tab Citation (Scopus)

2 Downloads (Pure)
Discussing alternative fast dike breach flood models
Besseling, L., Bomers, A., Warmink, J. J. & Hulscher, S. J. M. H., 8 May 2025, p. 71-72. 2 p.
Research output: Contribution to conference › Abstract › Academic
Fast computation of dike breach growth and outflow
Besseling, L., Bomers, A., Warmink, J. J. & Hulscher, S. J. M. H., 28 Feb 2024, p. 64-65.
Research output: Contribution to conference › Abstract › Academic

Open Access
Fast flood modelling after dike breaches: machine learning or conceptual models?
Besseling, L., Bomers, A. & Hulscher, S. J. M. H., 2 Sept 2024. 7 p.
Research output: Contribution to conference › Abstract › Academic

Open Access
File
43 Downloads (Pure)
Predicting Flood Inundation after a Dike Breach Using a Long Short-Term Memory (LSTM) Neural Network
Besseling, L. S., Bomers, A. & Hulscher, S. J. M. H., 12 Sept 2024, In: Hydrology. 11, 9, 19 p., 152.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File
5 Link opens in a new tab Citations (Scopus)

181 Downloads (Pure)

Data accompanying the publication: Predicting Flood Inundation After a Dike Breach Using a Long Short-Term Memory (LSTM) Neural Network
Besseling, L. S. (Creator), Bomers, A. (Creator) & Hulscher, S. J. M. H. (Creator), 4TU.Centre for Research Data, 16 Sept 2024
DOI: 10.4121/6fd289d8-ec0e-4dd9-94fd-4566783e9c3d, https://data.4tu.nl/datasets/6fd289d8-ec0e-4dd9-94fd-4566783e9c3d and 2 more links, https://doi.org/10.4121/6fd289d8-ec0e-4dd9-94fd-4566783e9c3d.v1, https://data.4tu.nl/datasets/6fd289d8-ec0e-4dd9-94fd-4566783e9c3d/1 (show fewer)
Dataset

Board Young NCR (External organisation)
Besseling, L. (Member)
2023 → …
Activity: Membership › Membership of board

Leon S. Besseling

Personal profile

Fingerprint

Research output

A conceptual model to quantify probabilistic dike breach outflow

Discussing alternative fast dike breach flood models

Fast computation of dike breach growth and outflow

Fast flood modelling after dike breaches: machine learning or conceptual models?

Predicting Flood Inundation after a Dike Breach Using a Long Short-Term Memory (LSTM) Neural Network

Datasets

Data accompanying the publication: Predicting Flood Inundation After a Dike Breach Using a Long Short-Term Memory (LSTM) Neural Network

Activities

Board Young NCR (External organisation)