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Experimental Assessment of a 2-D Entropy-Based Model for Velocity Distribution in Open Channel Flow
Dipartimento di Ingegneria, Università degli Studi del Sannio, Piazza Roma, 21, Benevento 82100, Italy
Dipartimento di Ingegneria Civile, Edile e Ambientale, Università degli Studi di Napoli Federico II, Via Claudio, 21, Napoli 80125, Italy
* Author to whom correspondence should be addressed.
Received: 24 December 2012; in revised form: 18 February 2013 / Accepted: 1 March 2013 / Published: 6 March 2013
Abstract: Velocity distribution in an open channel flow can be very useful to model many hydraulic phenomena. Among the others, several 1D models based on the concept of entropy are available in the literature, which allow estimating the velocity distribution by measuring velocities only in a few points. Nevertheless, since 1D models have often a limited practical use, a 2D entropy based model was recently developed. The model provides a reliable estimation of the velocity distribution for open channel flow with a rectangular cross section, if the maximum velocity and the average velocity are known. In this paper results from the proposed model were compared with measured velocities carried out from laboratory experiments. Calculated values were also compared with results inferred from a 2D model available in the literature, resulting in a greater ease of use and a more reliable estimate of the velocity profile.
Keywords: entropy; flow measurement; open-channel flow; Shannon entropy; streamflow; velocity distribution
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MDPI and ACS Style
Fontana, N.; Marini, G.; Paola, F.D. Experimental Assessment of a 2-D Entropy-Based Model for Velocity Distribution in Open Channel Flow. Entropy 2013, 15, 988-998.
Fontana N, Marini G, Paola FD. Experimental Assessment of a 2-D Entropy-Based Model for Velocity Distribution in Open Channel Flow. Entropy. 2013; 15(3):988-998.
Fontana, Nicola; Marini, Gustavo; Paola, Francesco D. 2013. "Experimental Assessment of a 2-D Entropy-Based Model for Velocity Distribution in Open Channel Flow." Entropy 15, no. 3: 988-998.