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Demystifying the discharge coefficient for flow over thin weirs and sills

Published online by Cambridge University Press:  08 August 2025

Joseph E. Pugh*
Affiliation:
Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO, USA Verdantas Flow Labs, Fort Collins, CO, USA
Subhas Karan Venayagamoorthy
Affiliation:
Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO, USA Department of Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology, Rolla, MO, USA
Timothy K. Gates
Affiliation:
Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO, USA
*
Corresponding author: Joseph E. Pugh; Email: jpugh@verdantas.com

Abstract

A revised derivation of the discharge coefficient for flows over thin weirs and sills in the limits of wall overflow to a free overfall is given. Using dimensional analysis, we show that the discharge coefficient, $C_{d}$, in the classical weir-discharge equation is best understood as a weir Froude number, ${Fr}_{h}$, which accounts for the combined effects of inertia, contraction and viscous energy losses within the flow field. A comprehensive set of experimental data from historical studies is complimented by new data from the authors, featuring both laboratory flume experiments and three-dimensional numerical simulations of weir flows. Synthesis of these data elucidates the interaction between the coupled pressure and velocity fields, and the balance between inertial and contraction effects as ${Fr}_{h}$ varies. Analysis of the vertical pressure gradient reveals that the thickness of the nappe initially widens with increasing inertia, but then contracts again towards the free overfall limit due to diminishing flow separation at the base of the weir. These insights allow for a physical explanation of the transition between weir and sill flows using the channel Froude number. Practical limitations on predicting weir discharge and a description of characteristic flow regimes are also set forward.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Figure 1. Schematic of curvilinear flow over a thin weir. It is assumed that the flow field can be approximated as two-dimensional and that the overflowing nappe is fully supported by atmospheric pressure. All dimensions plotted are scaled from 3-D numerical results for a specific flow case where $h/p=0.68$ (case N0.68 in table 2). A separation streamline is plotted to indicate the locations where the boundary layer becomes detached due to the adverse pressure gradient created by the weir and where it then eventually reattaches. The shape of the separation zone will differ under varying flow conditions. EGL is the energy grade line, given by the dashed line.

Figure 1

Table 1. Description of compiled historical discharge data for thin weir and sill flows, along with that of the current study. $n$ is the number of observations in the dataset. The total number of historical observations is 436

Figure 2

Table 2. Details for numerical and experimental flow cases of the current study where the two-dimensional velocity and pressure field were analysed. The numeric value in the case name corresponds to the $h/p$ value for that case

Figure 3

Figure 2. (a) Experimental facility at the EFML. (b) Weir model used at the HHLab facility. (c) Numerical domain for flow case N0.68. The upstream boundary of the domain in the $x$-direction has been truncated from −10 to −0.5 m to show details of the near-crest region. Red dots represent pressure probes at the gauging section and just below the weir crest. Text boxes with arrows indicate boundary conditions.

Figure 4

Figure 3. Comparison of dimensionless velocity magnitude field ($V = \sqrt {u^{2}+w^{2}}$) from (a) PIV experiments (case E0.68) and (b) numerical simulation (case N0.68). (c) Comparison of streamwise velocity profiles in the critical section. (d) Comparison of pressure profiles in the critical section between experimental of previous authors and numerical results of the current study. For the data of Scimemi (1930), $h/p$ = 0.25, and the data of Rouse (1932) and Rajaratnam & Muralidhar (1968) are both for the free overfall case.

Figure 5

Figure 4. (a) ${ Fr}_{h}$ versus $h/p$ for the entire weir–sill range, with the historical data (table 1) plotted. Classical empirical equations relating $h/p$ and ${ Fr}_{h}$ are also shown by a solid line, after Kandaswamy and Rouse (1957), with dash-dotted lines representing $\pm$5 % variation. For all data, ${ Re}_{h}\gt 3.5 \times 10^{4}$. For cases shown in table 2: (b) $C_{v}$ versus $h/p$; (c) $K$ versus $h/p$; and (d) $C_{c}$ versus $h/p$. Approximate values of $C_{v}$, $K$ and $C_{c}$ for the upper and lower limits of $h/p$, representing the respective cases of the free overfall and wall overflow, are given by blue horizontal lines.

Figure 6

Figure 5. (a) Streamwise velocity profiles in the critical section. (b) Pressure profiles in the critical section. $E$ is the minimum specific energy head (see figure 1).

Figure 7

Figure 6. Dimensionless contour plots of the vertical pressure gradient for data summarised in table 2.

Figure 8

Figure 7. Pressure head on the channel bottom made dimensionless by the flow depth at the gauging section (located at a distance of $4h$ upstream of the crest), indicating changes in the flow behaviour in the approach to the weir crest with varying $h/p$. Dash-dotted lines represent variation in the dimensionless flow depth that indicate a $\pm 2\,\%$ variation in the estimation of ${ Fr}_{h}$.

Figure 9

Figure 8. Dependency of (a) ${ Fr}_{h}$ and (b) $h/p$ with the channel Froude number, ${ Fr}$. The black trend line indicates a logistic relationship between the two variables. Respective limits for the self-similar, ideal operating, transition and sill regimes are given.