Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-117-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-117-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Jan 2017
Research article |
| 09 Jan 2017
Assessing the impact of hydrodynamics on large-scale flood wave propagation – a case study for the Amazon Basin
Department of Physical Geography, Utrecht University, P.O. Box 80115, 3508 TC Utrecht, the Netherlands
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Arjen V. Haag
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Arthur van Dam
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Hessel C. Winsemius
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Ludovicus P. H. van Beek
Department of Physical Geography, Utrecht University, P.O. Box 80115, 3508 TC Utrecht, the Netherlands
Marc F. P. Bierkens
Department of Physical Geography, Utrecht University, P.O. Box 80115, 3508 TC Utrecht, the Netherlands
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
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Cited
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- Can regional to continental river hydrodynamic models be locally relevant? A cross-scale comparison A. Fleischmann et al. 10.1016/j.hydroa.2019.100027
- Prediction of regional‐scale groundwater recharge and nitrate storage in the vadose zone: A comparison between a global model and a regional model T. Turkeltaub et al. 10.1002/hyp.13834
- Hydrology of inland tropical lowlands: the Kapuas and Mahakam wetlands H. Hidayat et al. 10.5194/hess-21-2579-2017
- Modelling hydrologic and hydrodynamic processes in basins with large semi-arid wetlands A. Fleischmann et al. 10.1016/j.jhydrol.2018.04.041
- Trade‐Offs Between 1‐D and 2‐D Regional River Hydrodynamic Models A. Fleischmann et al. 10.1029/2019WR026812
- GLOFRIM v1.0 – A globally applicable computational framework for integrated hydrological–hydrodynamic modelling J. Hoch et al. 10.5194/gmd-10-3913-2017
- Modeling the role of reservoirs versus floodplains on large-scale river hydrodynamics A. Fleischmann et al. 10.1007/s11069-019-03797-9
- Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin J. Towner et al. 10.5194/hess-23-3057-2019
- A Review of Coupled Hydrologic-Hydraulic Models for Floodplain Assessments in Africa: Opportunities and Challenges for Floodplain Wetland Management I. Chomba et al. 10.3390/hydrology8010044
- PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model E. Sutanudjaja et al. 10.5194/gmd-11-2429-2018
- Global Estimates of Reach‐Level Bankfull River Width Leveraging Big Data Geospatial Analysis P. Lin et al. 10.1029/2019GL086405
- How much inundation occurs in the Amazon River basin? A. Fleischmann et al. 10.1016/j.rse.2022.113099
- Watershed Models: Review of Approaches, Challenges, and Opportunities C. Jiang & Y. Shen 10.1021/acsestwater.3c00259
- Benchmarking flexible meshes and regular grids for large-scale fluvial inundation modelling J. Hoch et al. 10.1016/j.advwatres.2018.09.003
- On the discretization of river networks for large scale hydrologic-hydrodynamic models F. Fan et al. 10.1590/2318-0331.262120200070
- Estimation of Flood Travel Time in River Network of the Middle Yellow River, China L. He 10.3390/w12061550
- Evaluating the impact of model complexity on flood wave propagation and inundation extent with a hydrologic–hydrodynamic model coupling framework J. Hoch et al. 10.5194/nhess-19-1723-2019
- Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic? T. Kelder et al. 10.1088/1748-9326/ac5cf4
- A comprehensive review of watershed flood simulation model Y. Shen & C. Jiang 10.1007/s11069-023-06047-1
- Flood Inundation Mapping of the Sparsely Gauged Large-Scale Brahmaputra Basin Using Remote Sensing Products B. Bhattacharya et al. 10.3390/rs11050501
- Amazon Hydrology From Space: Scientific Advances and Future Challenges A. Fassoni‐Andrade et al. 10.1029/2020RG000728
21 citations as recorded by crossref.
- Space-time disaggregation of precipitation and temperature across different climates and spatial scales K. Breinl & G. Di Baldassarre 10.1016/j.ejrh.2018.12.002
- Can regional to continental river hydrodynamic models be locally relevant? A cross-scale comparison A. Fleischmann et al. 10.1016/j.hydroa.2019.100027
- Prediction of regional‐scale groundwater recharge and nitrate storage in the vadose zone: A comparison between a global model and a regional model T. Turkeltaub et al. 10.1002/hyp.13834
- Hydrology of inland tropical lowlands: the Kapuas and Mahakam wetlands H. Hidayat et al. 10.5194/hess-21-2579-2017
- Modelling hydrologic and hydrodynamic processes in basins with large semi-arid wetlands A. Fleischmann et al. 10.1016/j.jhydrol.2018.04.041
- Trade‐Offs Between 1‐D and 2‐D Regional River Hydrodynamic Models A. Fleischmann et al. 10.1029/2019WR026812
- GLOFRIM v1.0 – A globally applicable computational framework for integrated hydrological–hydrodynamic modelling J. Hoch et al. 10.5194/gmd-10-3913-2017
- Modeling the role of reservoirs versus floodplains on large-scale river hydrodynamics A. Fleischmann et al. 10.1007/s11069-019-03797-9
- Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin J. Towner et al. 10.5194/hess-23-3057-2019
- A Review of Coupled Hydrologic-Hydraulic Models for Floodplain Assessments in Africa: Opportunities and Challenges for Floodplain Wetland Management I. Chomba et al. 10.3390/hydrology8010044
- PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model E. Sutanudjaja et al. 10.5194/gmd-11-2429-2018
- Global Estimates of Reach‐Level Bankfull River Width Leveraging Big Data Geospatial Analysis P. Lin et al. 10.1029/2019GL086405
- How much inundation occurs in the Amazon River basin? A. Fleischmann et al. 10.1016/j.rse.2022.113099
- Watershed Models: Review of Approaches, Challenges, and Opportunities C. Jiang & Y. Shen 10.1021/acsestwater.3c00259
- Benchmarking flexible meshes and regular grids for large-scale fluvial inundation modelling J. Hoch et al. 10.1016/j.advwatres.2018.09.003
- On the discretization of river networks for large scale hydrologic-hydrodynamic models F. Fan et al. 10.1590/2318-0331.262120200070
- Estimation of Flood Travel Time in River Network of the Middle Yellow River, China L. He 10.3390/w12061550
- Evaluating the impact of model complexity on flood wave propagation and inundation extent with a hydrologic–hydrodynamic model coupling framework J. Hoch et al. 10.5194/nhess-19-1723-2019
- Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic? T. Kelder et al. 10.1088/1748-9326/ac5cf4
- A comprehensive review of watershed flood simulation model Y. Shen & C. Jiang 10.1007/s11069-023-06047-1
- Flood Inundation Mapping of the Sparsely Gauged Large-Scale Brahmaputra Basin Using Remote Sensing Products B. Bhattacharya et al. 10.3390/rs11050501
1 citations as recorded by crossref.
Discussed (final revised paper)
Latest update: 02 Apr 2025
Short summary
Modelling inundations is pivotal to assess current and future flood hazard, and to define sound measures and policies. Yet, many models focus on the hydrologic or hydrodynamic aspect of floods only. We combined both by spatially coupling a hydrologic with a hydrodynamic model. This way we are able to balance the weaknesses of each model with the strengths of the other. We found that model coupling can indeed strongly improve discharge simulation, and see big potential in our approach.
Modelling inundations is pivotal to assess current and future flood hazard, and to define sound...
