bachelorThesis
Evaluación de diferentes metodologías de predicción del coeficiente de resistencia al flujo de ríos de montaña considerando su incertidumbre
Fecha
2022-07-19Autor
Deleg Naula, Jonnathan Josue
Institución
Resumen
The resistance coefficient is a very important parameter in the one-dimensional simulation of water
flow. This parameter can be estimated using various methodologies, which can be equations, data
tables and photographs. Like any other estimate, the prediction of the resistance coefficient is subject
to an error or uncertainty due to various factors. In the present work, the performance of the different
estimation methodologies of the Manning resistance coefficient was evaluated when considering a
percentage variation of the coefficient. The data used for this purpose pertain to 3 morphologies of
the Quinuas mountain river (cascade, step-pool y plane-bed). The performance was evaluated by
comparing the water depth measured in various sections with the water depths obtained in the
different one-dimensional models of the HEC-RAS software. The results indicate that the
nondimensional geometry equations better estimate the resistance coefficient. In turn, in the cascade
and step-pool morphologies, the nondimensional geometry equations have reached a maximum
possible efficiency, therefore, in these cases, varying the estimated coefficient of resistance only
worsens the results or a minor improvement is obtained. The remaining methodologies show in most
cases that they underestimate the flow resistance, especially in flows of low magnitude. However,
some methodologies under certain conditions show similar results to the nondimensional geometry
equations. Finally, it was found that, in the cascade morphology, the performance of the
methodologies is less sensitive to the variation of the resistance coefficient compared to the
performance in the plane-bed morphology