Abstract

In this work, a simple computational scheme with the pragmatic purpose of augmenting the efficiency of river discharge measurements is proposed. Observing the functional form of the velocity profile versus depth, applying polynomial regression for each vertical, and finally interpolating between the verticals, the authors develop a continuous approximation for the velocity across the entire vertical section, which turns out to be rather robust to the removal of individual measurement points. In particular, numerical data analysis shows that the number of measurements can be significantly reduced without a significant loss of accuracy of the discharge estimate. This procedure has been tested on the data obtained experimentally on the Exu, Capibaribe, and Ipojuca rivers, in the state of Pernambuco, northeast of Brazil, with different streamflow patterns exhibiting multiple local velocity maxima on and below the surface.

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Acknowledgments

The authors acknowledge the financial support of Brazilian federal agencies CNPq (project CASADINHO-620113/2008-1) and CAPES (projects PROCAD-1396/2007 and PROCAD-2273/2008). B.S. acknowledges support of the CNPq agency through project PQ 306719/2012-6.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 21Issue 12December 2016

History

Received: Nov 18, 2015
Accepted: Jul 11, 2016
Published online: Aug 19, 2016
Published in print: Dec 1, 2016
Discussion open until: Jan 19, 2017

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Borko Stosic, Ph.D. [email protected]
Professor, Departamento de Estatística e Informática, Universidade Federal Rural de Pernambuco, Rua Dom Manoel de Medeiros s/n, Dois Irmãos, 52171-900 Recife-PE, Brazil (corresponding author). E-mail: [email protected]
Vinicius Sacramento, Ph.D. [email protected]
Professor, Universidade Federal do Ceará, Campus Russas, Rua Felipe Santiago 411, Cidade Universitária, 62900-000 Russas-CE, Brazil. E-mail: [email protected]
Moacyr Cunha Filho, Ph.D. [email protected]
Professor, Departamento de Estatística e Informática, Universidade Federal Rural de Pernambuco, Rua Dom Manoel de Medeiros s/n, Dois Irmãos, 52171-900 Recife-PE, Brazil. E-mail: [email protected]
Jose Ramon Barros Cantalice, Ph.D. [email protected]
Professor, Departamento de Agronomia, Universidade Federal Rural de Pernambuco, Rua Dom Manoel de Medeiros s/n, 52171-900 Recife-PE, Brazil. E-mail: [email protected]
Vijay P. Singh, Ph.D., Dist.M.ASCE [email protected]
Professor, Dept. of Biological and Agricultural Engineering, Texas A&M Univ., Scoates Hall, 2117 TAMU, College Station, TX 77843; Zachry Dept. of Civil Engineering, Texas A&M Univ., 3136 TAMU, College Station, TX 77843. E-mail: [email protected]

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