Document Type
Thesis - Open Access
Award Date
2018
Degree Name
Master of Science (MS)
Department / School
Civil and Environmental Engineering
First Advisor
Suzette Burckhard
Abstract
In overland flow water research, travel time is a significant parameter used in estimating peak discharge in channels or rivers. Overland flow is assumed to be in turbulent condition to estimate travel time using Manning’s Velocity Equation (MVE). When the flow is in a laminar condition, Grismer’s Laminar Mean Velocity Equation (GLMVE) is applied but fails to consider the roughness parameter. A review of the literature shows numerous equations for overland travel time, but there is no known equation that determines the mean velocity of overland flow under laminar condition with a roughness coefficient or other coefficient related to the effect vegetation has on the flow. In this study, a new overland flow travel time equation was developed by assuming laminar flow and incorporating Chezy’s vegetation roughness coefficient (��). In this paper, relationships were established between GLMVE and �� and that relationship is used to develop a new travel time equation. The new equation was employed on theoretical models for bare soil, corn growing on the soil, and Bermuda grass growing on the soil. Standard design tables for Darcy’s vegetation roughness coefficient (��) and Chezy’s vegetation roughness coefficient (��) were developed for selected crops at different slopes and crop residues. Validation of the equation was performed by comparing the calculated results for travel time with published data.
Library of Congress Subject Headings
Groundwater flow -- Mathematical models.
Runoff -- Mathematical models.
Fluid dynamics -- Mathematical models.
Transport theory.
Hydrologic models.
Plants.
Description
Includes bibliographical references
Format
application/pdf
Number of Pages
50
Publisher
South Dakota State University
Recommended Citation
Ganti, Naga Vara Prasad, "A Development of Travel Time Equation for Overland Flow as Affected by Vegetation" (2018). Electronic Theses and Dissertations. 2696.
https://openprairie.sdstate.edu/etd/2696