Case Study: Improving Real-Time Stage Forecasting Muskingum Model by Incorporating the Rating Curve Model
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VIEW CORRECTIONPublication: Journal of Hydrologic Engineering
Volume 16, Issue 6
Abstract
Analysis of forecasts obtained by a forecasting model called STAFOM, a Muskingum-type model for real-time application, shows that the model provides accurate forecast stage estimates for most of the selected case studies and flood events in the Upper-Middle Tiber River basin in central Italy. However, three main issues affected STAFOM: (1) its kinematic nature, (2) the lateral inflows representation, and (3) the occurrence of sudden fluctuations in water levels observed at the ends of the equipped river reach. Therefore, this simple stage forecasting model is hereby improved by incorporating a methodology relating local stage and remote discharge along river channels. This latter procedure, based on the rating curve model (RCM), is capable of reconstructing a discharge hydrograph at a river site where only the stage is monitored, while the discharge is recorded at another section located far away and for which a significant lateral inflow contribution is expected. Application of the new model, named STAFOM-RCM, to several flood events that occurred along four equipped river reaches of the Upper-Middle Tiber River basin, shows that it improves the stage forecast accuracy both in peak and stage hydrograph primarily for long river reaches, thus allowing consideration of a longer forecast lead time; and hence, avoiding the use of the old two-connecting river branch scheme that amplified the fluctuations in observed water levels.
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Acknowledgments
The authors are thankful to Department of Environment, Planning and Infrastructure, Umbria Region, for providing the data.
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Published In
Journal of Hydrologic Engineering
Volume 16 • Issue 6 • June 2011
Pages: 540 - 557
Copyright
© 2011 American Society of Civil Engineers.
History
Received: Apr 8, 2010
Accepted: Oct 13, 2010
Published online: Oct 28, 2010
Published in print: Jun 1, 2011
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