Use of the Manning equation for predicting the discharge of high-gradient canals and natural streams
Date
2018
Authors
Ostraff, Ashley A., author
Emerman, Steven H., author
Udy, Nicholas D., author
Allen, Sarah M., author
Rakotoarisaona, Henintsoa, author
Gherasim, Janelle, author
Stallings, Alison M., author
Saldivar, Jeremy N., author
Larsen, Kenneth L., author
Abbott, Morgan, author
Journal Title
Journal ISSN
Volume Title
Abstract
The Manning Equation is used to predict stream or canal discharge from hydraulic radius, slope of the water surface, and a Manning roughness coefficient. Jarrett (1984) proposed that, for high-gradient streams (S > 0.002), the Manning roughness coefficient could be predicted from the hydraulic radius and the slope alone. The objective of this study was to develop separate empirical formulae, depending upon climate and stream bank lithology, for predicting the Manning roughness coefficient for high-gradient canals and natural streams from hydraulic radius and slope. The objective was addressed by separating the database used by Jarrett (1984) according to stream bank lithology, and by carrying out new measurements of the Manning roughness coefficient at nine high-gradient stream sites with crystalline (igneous and metamorphic) banks and two high-gradient stream sites with carbonate banks in Haiti, nine high-gradient stream sites with carbonate banks in Utah, and 14 high-gradient canals in Utah. The data were used to develop empirical formulae for predicting the Manning roughness coefficient for (1) continental climate, clastic stream bank (2) tropical climate, crystalline stream bank (3) continental/tropical climate, carbonate stream bank (4) continental climate, earthen canal with grassy bank. The Manning roughness coefficient was a negative function of hydraulic radius for the first case and a positive function for the other cases, suggesting that the increase in turbulent resistance is caused by the roughness of the sediment in the first case, but by the increase in the Reynolds number, which is proportional to the depth, in the other cases.
Description
2018 annual AGU hydrology days was held at Colorado State University on March 19 - March 21, 2018.
Includes bibliographical references.
Includes bibliographical references.