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Bomers, A., Meulen, B., Schielen, R. M. J., Hulscher, S. J. M. H. (2019) Historic Flood Reconstruction With the Use of an Artificial Neural Network. Water Resources Research, 55 (11). 9673-9688 doi:10.1029/2019wr025656

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Reference TypeJournal (article/letter/editorial)
TitleHistoric Flood Reconstruction With the Use of an Artificial Neural Network
JournalWater Resources Research
AuthorsBomers, A.Author
Meulen, B.Author
Schielen, R. M. J.Author
Hulscher, S. J. M. H.Author
Year2019 (November)Volume55
Issue11
PublisherAmerican Geophysical Union (AGU)
DOIdoi:10.1029/2019wr025656Search in ResearchGate
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Mindat Ref. ID8237156Long-form Identifiermindat:1:5:8237156:4
GUID0
Full ReferenceBomers, A., Meulen, B., Schielen, R. M. J., Hulscher, S. J. M. H. (2019) Historic Flood Reconstruction With the Use of an Artificial Neural Network. Water Resources Research, 55 (11). 9673-9688 doi:10.1029/2019wr025656
Plain TextBomers, A., Meulen, B., Schielen, R. M. J., Hulscher, S. J. M. H. (2019) Historic Flood Reconstruction With the Use of an Artificial Neural Network. Water Resources Research, 55 (11). 9673-9688 doi:10.1029/2019wr025656
In(2019, November) Water Resources Research Vol. 55 (11) American Geophysical Union (AGU)

See Also

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Bomers, A., Schielen, R.M.J., Hulscher, S.J.M.H. (2019) Application of a lower-fidelity surrogate hydraulic model for historic flood reconstruction. Environmental Modelling & Software, 117. 223-236 doi:10.1016/j.envsoft.2019.03.019
Bomers, Anouk, Schielen, Ralph M. J., Hulscher, Suzanne J. M. H. (2019) Consequences of dike breaches and dike overflow in a bifurcating river system. Natural Hazards, 97. 309-334 doi:10.1007/s11069-019-03643-y
Bomers, A., Schielen, R. M. J., Hulscher, S. J. M. H. (2020) Reply to “Consequences of dike breaches and dike overflow in a bifurcating river system”. Natural Hazards, 103 (2) 1633-1637 doi:10.1007/s11069-020-04162-x
Lokin, L. R., Warmink, J. J., Bomers, A., Hulscher, S. J. M. H. (2022) River Dune Dynamics During Low Flows. Geophysical Research Letters, 49 (8) doi:10.1029/2021gl097127
Knaapen, M. A. F., Hulscher, S. J. M. H. (2003) Use of a genetic algorithm to improve predictions of alternate bar dynamics. Water Resources Research, 39 (9). doi:10.1029/2002wr001793
Ancey, C., Bardou, E., Funk, M., Huss, M., Werder, M. A., Trewhela, T. (2019) Hydraulic Reconstruction of the 1818 Giétro Glacial Lake Outburst Flood. Water Resources Research, 55 (11). 8840-8863 doi:10.1029/2019wr025274
Lokin, L. R., Warmink, J. J., Hulscher, S. J. M. H. (2023) The Effect of Sediment Transport Models on Simulating River Dune Dynamics. Water Resources Research, 59 (12) doi:10.1029/2023wr034607
AlQasimi, Eman, Mahdi, Tew-Fik (2020) Discussion of “Consequences of dike breaches and dike overflow in a bifurcating river system” by Anouk Bomers, Ralph M. J. Schielen and Suzanne J. M. H. Hulscher. Natural Hazards, 103 (2) 1629-1632 doi:10.1007/s11069-020-03904-1
Shu, Chang, Burn, Donald H. (2004) Artificial neural network ensembles and their application in pooled flood frequency analysis. Water Resources Research, 40 (9). doi:10.1029/2003wr002816
Fortin, Vincent, Ouarda, Taha B. M. J., Bobée, Bernard (1997) Comment on “The use of artificial neural networks for the prediction of water quality parameters” by H. R. Maier and G. C. Dandy. Water Resources Research, 33 (10). 2423-2424 doi:10.1029/97wr00969
Kreyenberg, Philipp J., Bauser, Hannes H., Roth, Kurt (2019) Velocity Field Estimation on Density‐Driven Solute Transport With a Convolutional Neural Network. Water Resources Research, 55 (8). 7275-7293 doi:10.1029/2019wr024833
 
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