Articles | Volume 11, issue 5
https://doi.org/10.5194/hess-11-1645-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/hess-11-1645-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
A mass conservative and water storage consistent variable parameter Muskingum-Cunge approach
E. Todini
Department of Earth and Geo-Environmental Sciences, University of Bologna, Italy
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- The potential of coordinated reservoir operation for flood mitigation in large basins – A case study on the Bavarian Danube using coupled hydrological–hydrodynamic models S. Seibert et al. 10.1016/j.jhydrol.2014.06.048
- Transmission losses during two flood events in the Platte River, south-central Nebraska Y. Huang et al. 10.1016/j.jhydrol.2014.11.046
- Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model M. Mazzoleni et al. 10.1029/2018WR023768
- Large scale hydrologic and hydrodynamic modeling using limited data and a GIS based approach R. Paiva et al. 10.1016/j.jhydrol.2011.06.007
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- Comparing Five Kinematic Wave Schemes for Open-Channel Routing for Wide-Tooth-Comb-Wave Hydrographs C. Luo 10.1061/(ASCE)HE.1943-5584.0002079
- An optimized routing model for flood forecasting R. Price 10.1029/2008WR007103
- Parameter Estimation of the Nonlinear Muskingum Flood-Routing Model Using a Hybrid Harmony Search Algorithm H. Karahan et al. 10.1061/(ASCE)HE.1943-5584.0000608
- How much can we gain with increasing model complexity with the same model concepts? H. Li et al. 10.1016/j.jhydrol.2015.05.044
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- Data Assimilation in Hydrologic Routing: Impact of Model Error and Sensor Placement on Flood Forecasting M. Mazzoleni et al. 10.1061/(ASCE)HE.1943-5584.0001656
- An Application of Modified Muskingum-Cunge Routing Method with Water Conservation Condition to a Distributed Runoff Model K. MASUTANI & J. MAGOME 10.3178/jjshwr.22.294
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- Dimensionally Consistent Nonlinear Muskingum Equation D. Gąsiorowski & R. Szymkiewicz 10.1061/(ASCE)HE.1943-5584.0001691
- Real Time Flow Forecasting in a Mountain River Catchment Using Conceptual Models with Simple Error Correction Scheme N. Montes et al. 10.3390/w12051484
- Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? M. Mazzoleni et al. 10.5194/hess-21-839-2017
- On the validity range and conservation properties of diffusion analogy and variable parameter Muskingum P. Reggiani & E. Todini 10.1016/j.jhydrol.2018.05.053
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- Case Study: Improving Real-Time Stage Forecasting Muskingum Model by Incorporating the Rating Curve Model S. Barbetta et al. 10.1061/(ASCE)HE.1943-5584.0000345
- Addressing Spatial Heterogeneity in the Discrete Generalized Nash Model for Flood Routing B. Yan et al. 10.3390/w13213133
- Flash Flood Simulation for Hilly Reservoirs Considering Upstream Reservoirs—A Case Study of Moushan Reservoir H. Zhao et al. 10.3390/su16125001
- Volume-Conservative Nonlinear Flood Routing R. Price 10.1061/(ASCE)HY.1943-7900.0000088
- Application of the Muskingum-Cunge routing method with variable parameters in a gauged creek reach H. ÇAKIR & M. KESKİN 10.35860/iarej.813766
- A fully mass conservative variable parameter McCarthy–Muskingum method: Theory and verification M. Perumal & R. Price 10.1016/j.jhydrol.2013.08.023
- Validation of a full hydrodynamic model for large‐scale hydrologic modelling in the Amazon R. Paiva et al. 10.1002/hyp.8425
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- Linear diffusion-wave channel routing using a discrete Hayami convolution method L. Wang et al. 10.1016/j.jhydrol.2013.11.046
- Development and Evaluation of a Pan-European Multimodel Seasonal Hydrological Forecasting System N. Wanders et al. 10.1175/JHM-D-18-0040.1
- Evaluation of a physically based quasi-linear and a conceptually based nonlinear Muskingum methods M. Perumal et al. 10.1016/j.jhydrol.2017.01.025
- On mass and momentum conservation in the variable-parameter Muskingum method P. Reggiani et al. 10.1016/j.jhydrol.2016.10.030
- Rating Curve Development at Ungauged River Sites using Variable Parameter Muskingum Discharge Routing Method B. Sahoo et al. 10.1007/s11269-014-0709-9
- Variable parameter McCarthy–Muskingum flow transport model for compound channels accounting for distributed non-uniform lateral flow R. Swain & B. Sahoo 10.1016/j.jhydrol.2015.10.030
- Informing a hydrological model of the Ogooué with multi-mission remote sensing data C. Kittel et al. 10.5194/hess-22-1453-2018
- Analysis of coupling errors in a physically-based integrated surface water–groundwater model C. Dagès et al. 10.1016/j.advwatres.2012.07.019
- A New Runoff Routing Scheme for Xin’anjiang Model and Its Routing Parameters Estimation Based on Geographical Information S. Zang et al. 10.3390/w12123429
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- A conservative flow routing formulation: Déjà vu and the variable-parameter Muskingum method revisited P. Reggiani et al. 10.1016/j.jhydrol.2014.08.057
- Reply to the Discussion of “Assessment and review of the hydraulics of storage flood routing 70 years after the presentation of the Muskingum method” by M. Perumal A. Koussis 10.1080/02626667.2010.491261
- Forecasting discharges at the downstream end of a river reach through two simple Muskingum based procedures M. Franchini et al. 10.1016/j.jhydrol.2011.01.009
- Variable parameter McCarthy–Muskingum routing method considering lateral flow B. Yadav et al. 10.1016/j.jhydrol.2015.01.068
- Development and Application of Advanced Muskingum Flood Routing Model Considering Continuous Flow E. Lee et al. 10.3390/w10060760
- Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017) D. Viero 10.5194/hess-22-171-2018
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- Muskingum Models’ Development and their Parameter Estimation: A State-of-the-art Review W. Wang et al. 10.1007/s11269-023-03493-1
- Development of a distributed nonlinear Muskingum model by considering snowmelt effects for flood routing in the Red River V. Atashi et al. 10.1038/s41598-023-48895-8
- The multiscale routing model mRM v1.0: simple river routing at resolutions from 1 to 50 km S. Thober et al. 10.5194/gmd-12-2501-2019
- Multi-objective double layer water optimal allocation and scheduling framework combing the integrated surface water – groundwater model Z. Li et al. 10.1016/j.watres.2024.122141
- Accounting for the uncertain effects of hydraulic interactions in optimising embankments heights: Proof of principle for the IJssel River A. Ciullo et al. 10.1111/jfr3.12532
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- A systematic review of Muskingum flood routing techniques A. Salvati et al. 10.1080/02626667.2024.2324132
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- Ecological Sustainability Assessment of Water Distribution for the Maintenance of Ecosystems, their Services and Biodiversity A. Schlattmann et al. 10.1007/s00267-022-01662-3
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- PROMET – Large scale distributed hydrological modelling to study the impact of climate change on the water flows of mountain watersheds W. Mauser & H. Bach 10.1016/j.jhydrol.2009.07.046
- Improving the flood prediction capability of the Xin’anjiang model by formulating a new physics-based routing framework and a key routing parameter estimation method S. Zang et al. 10.1016/j.jhydrol.2021.126867
- Susceptibility of Water Resources and Hydropower Production to Climate Change in the Tropics: The Case of Lake Malawi and Shire River Basins, SE Africa L. Mtilatila et al. 10.3390/hydrology7030054
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