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Hydrological Sciences Journal Volume 51, 2006 - Issue 1
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Original Articles

A real-time stage Muskingum forecasting model for a site without rating curve

Un modèle de prévision du niveau de type Muskingum en temps réel pour un site sans courbe de tarage

TOMMASO MORAMARCO National Research Council, Institute for Hydrogeological Protection, Via Madonna Alta 126, 06128, Perugia, Italy E-mail: [email protected]
,
SILVIA BARBETTA National Research Council, Institute for Hydrogeological Protection, Via Madonna Alta 126, 06128, Perugia, Italy E-mail: [email protected]
,
FLORISA MELONE National Research Council, Institute for Hydrogeological Protection, Via Madonna Alta 126, 06128, Perugia, Italy E-mail: [email protected]
&
V. P. SINGH Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, Louisiana, 70803-6405, USA
Pages 66-82 | Received 26 Jan 2005, Accepted 26 Oct 2005, Published online: 19 Jan 2010

Citations (14)

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Read on this site (2)

Silvia Barbetta & Tommaso Moramarco. (2014) Real-time flood forecasting by relating local stage and remote discharge. Hydrological Sciences Journal 59:9, pages 1656-1674.
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NektariosN. Kourgialas & GeorgeP. Karatzas. (2011) Flood management and a GIS modelling method to assess flood-hazard areas—a case study. Hydrological Sciences Journal 56:2, pages 212-225.
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Articles from other publishers (12)

Zhiyuan Yao, Zhaocai Wang, Tunhua Wu & Wen Lu. (2023) A Hybrid Data-Driven Deep Learning Prediction Framework for Lake Water Level Based on Fusion of Meteorological and Hydrological Multi-source Data. Natural Resources Research.
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Nicolás Montes, José Ángel Aranda & Rafael García-Bartual. (2020) Real Time Flow Forecasting in a Mountain River Catchment Using Conceptual Models with Simple Error Correction Scheme. Water 12:5, pages 1484.
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Silvia Barbetta, Tommaso Moramarco, Luca Brocca, Marco Franchini & Florisa Melone. (2014) Confidence interval of real-time forecast stages provided by the STAFOM-RCM model: the case study of the Tiber River (Italy). Hydrological Processes 28:3, pages 729-743.
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Vijay P. Singh. 2013. Entropy Theory and its Application in Environmental and Water Engineering. Entropy Theory and its Application in Environmental and Water Engineering 581 604 .
M. M. RahmanN. K. GoelD. S. Arya. (2012) Development of the Jamuneswari Flood Forecasting System: Case Study in Bangladesh. Journal of Hydrologic Engineering 17:10, pages 1123-1140.
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Silvia BarbettaTommaso MoramarcoMarco FranchiniFlorisa MeloneLuca BroccaVijay P. Singh. (2011) Case Study: Improving Real-Time Stage Forecasting Muskingum Model by Incorporating the Rating Curve Model. Journal of Hydrologic Engineering 16:6, pages 540-557.
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S. Barbetta, L. Brocca, F. Melone, T. Moramarco & V. P. Singh. (2011) Addressing the Uncertainty Assessment for Real-Time Stage Forecasting. Addressing the Uncertainty Assessment for Real-Time Stage Forecasting.
S. Barbetta, L. Brocca, F. Melone, T. Moramarco & V. P. Singh. (2010) Uncertainty Assessment for Real-Time Stage Forecasting. Uncertainty Assessment for Real-Time Stage Forecasting.
G. Napolitano, L. See, B. Calvo, F. Savi & A. Heppenstall. (2010) A conceptual and neural network model for real-time flood forecasting of the Tiber River in Rome. Physics and Chemistry of the Earth, Parts A/B/C 35:3-5, pages 187-194.
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Benedetto Calvo & Fabrizio Savi. (2008) Real-time flood forecasting of the Tiber river in Rome. Natural Hazards 50:3, pages 461-477.
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Gokmen Tayfur & Tommaso Moramarco. (2008) Predicting hourly-based flow discharge hydrographs from level data using genetic algorithms. Journal of Hydrology 352:1-2, pages 77-93.
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. (2006) Current awareness. Hydrological Processes 20:13.
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