Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4959-2017
https://doi.org/10.5194/hess-21-4959-2017
Research article
 | 
29 Sep 2017
Research article |  | 29 Sep 2017

Consistent initial conditions for the Saint-Venant equations in river network modeling

Cheng-Wei Yu, Frank Liu, and Ben R. Hodges

Related authors

A new form of the Saint-Venant equations for variable topography
Cheng-Wei Yu, Ben R. Hodges, and Frank Liu
Hydrol. Earth Syst. Sci., 24, 4001–4024, https://doi.org/10.5194/hess-24-4001-2020,https://doi.org/10.5194/hess-24-4001-2020, 2020
Short summary

Related subject area

Subject: Rivers and Lakes | Techniques and Approaches: Modelling approaches
Estimating velocity distribution and flood discharge at river bridges using entropy theory – insights from computational fluid dynamics flow fields
Farhad Bahmanpouri, Tommaso Lazzarin, Silvia Barbetta, Tommaso Moramarco, and Daniele P. Viero
Hydrol. Earth Syst. Sci., 28, 3717–3737, https://doi.org/10.5194/hess-28-3717-2024,https://doi.org/10.5194/hess-28-3717-2024, 2024
Short summary
Isotopic evaluation of the National Water Model reveals missing agricultural irrigation contributions to streamflow across the western United States
Annie L. Putman, Patrick C. Longley, Morgan C. McDonnell, James Reddy, Michelle Katoski, Olivia L. Miller, and J. Renée Brooks
Hydrol. Earth Syst. Sci., 28, 2895–2918, https://doi.org/10.5194/hess-28-2895-2024,https://doi.org/10.5194/hess-28-2895-2024, 2024
Short summary
Timing of spring events changes under modelled future climate scenarios in a mesotrophic lake
Jorrit P. Mesman, Inmaculada C. Jiménez-Navarro, Ana I. Ayala, Javier Senent-Aparicio, Dennis Trolle, and Don C. Pierson
Hydrol. Earth Syst. Sci., 28, 1791–1802, https://doi.org/10.5194/hess-28-1791-2024,https://doi.org/10.5194/hess-28-1791-2024, 2024
Short summary
Effects of high-quality elevation data and explanatory variables on the accuracy of flood inundation mapping via Height Above Nearest Drainage
Fernando Aristizabal, Taher Chegini, Gregory Petrochenkov, Fernando Salas, and Jasmeet Judge
Hydrol. Earth Syst. Sci., 28, 1287–1315, https://doi.org/10.5194/hess-28-1287-2024,https://doi.org/10.5194/hess-28-1287-2024, 2024
Short summary
A hybrid data-driven approach to analyze the drivers of lake level dynamics
Márk Somogyvári, Dieter Scherer, Frederik Bart, Ute Fehrenbach, Akpona Okujeni, and Tobias Krueger
EGUsphere, https://doi.org/10.5194/egusphere-2023-2111,https://doi.org/10.5194/egusphere-2023-2111, 2023
Short summary

Cited articles

Abbott, M., Bathurst, J., Cunge, J., O'connell, P., and Rasmussen, J.: An introduction to the European Hydrological System – Systeme Hydrologique Europeen, “SHE”, 2: Structure of a physically-based, distributed modelling system, J. Hydrol., 87, 61–77, 1986.
Ajami, H., McCabe, M. F., Evans, J. P., and Stisen, S.: Assessing the impact of model spin-up on surface water-groundwater interactions using an integrated hydrologic model, Water Resour. Res., 50, 2636–2656, https://doi.org/10.1002/2013WR014258, 2014.
Beighley, R., Eggert, K., Dunne, T., He, Y., Gummadi, V., and Verdin, K.: Simulating hydrologic and hydraulic processes throughout the Amazon River Basin, Hydrol. Proc., 23, 1221–1235, 2009.
Caleffi, V., Valiani, A., and Zanni, A.: Finite volume method for simulating extreme flood events in natural channels, J. Hydraul. Res., 41, 167–177, 2003.
Chau, K. W. and Lee, J. H.: Mathematical modelling of Shing Mun River network, Adv. Water Resour., 14, 106–112, 1991.
Download
Short summary
This research proposes a new method for determining efficient and effective synthetic initial conditions for an unsteady model using the Saint-Venant equations for a large river network. The proposed method increases the efficiency of initial condition convergence up to 3700 times. This can not only help the hydrology research move from empirically based to mechanistic-based models for large river networks but also provide a computationally effective approach for initial conditions for modelers.