Applied Water Science (Sep 2018)

Prediction of depth-averaged velocity in an open channel flow

  • Jnana Ranjan Khuntia,
  • Kamalini Devi,
  • Kishanjit Kumar Khatua

DOI
https://doi.org/10.1007/s13201-018-0812-9
Journal volume & issue
Vol. 8, no. 6
pp. 1 – 14

Abstract

Read online

Abstract This paper presents a new methodology to predict the depth-averaged velocity along the lateral direction in an open channel flow. The novelty of this work is to determine the point velocity and estimate the discharge capacity by knowing the geometrical parameters at a section of an open channel flow. Experimental investigations have been undertaken in trapezoidal and rectangular channels to observe the variation of local velocities along both the vertical and transverse directions at testing sections. For different geometry, hydraulic and roughness conditions, the measurements are taken for several flow conditions. Multi-variable regression analysis has been adopted to develop five models to predict the point velocities in terms of non-dimensional geometric and flow parameters at any desired location. The present method is favourably compared with the analytical method of Shiono and Knight with reasonable accuracy. The performance of mathematical model is also validated with two natural river data sets. Further, statistical error analysis is carried out to know the degree of accuracy of the present models.

Keywords