Variación en el diseño hidráulico de alcantarillado pluvial en la ciudad de Barranquilla, bajo diferentes escenarios hidrológicos

Evaluating the variation of the hydraulic designs of an urban canal, from intensity, duration and frequency curves (IDF) for hydrological analysis, is susceptible of optimization if geolocated weighted models and uncertainty estimation methods are added. In the present work, the Rebolo stream in the...

Full description

Autores:
Janna Pérez, Jalil Mofid
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
spa
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/7834
Acceso en línea:
https://hdl.handle.net/11323/7834
https://repositorio.cuc.edu.co/
Palabra clave:
Variation
Uncertainty
Hydrology
Hydraulics
Stream
Rebolo
Stage
Variación
Incertidumbre
Hidrología
Hidráulica
Arroyo
Escenario
Rights
openAccess
License
Attribution-NonCommercial-ShareAlike 4.0 International
Description
Summary:Evaluating the variation of the hydraulic designs of an urban canal, from intensity, duration and frequency curves (IDF) for hydrological analysis, is susceptible of optimization if geolocated weighted models and uncertainty estimation methods are added. In the present work, the Rebolo stream in the city of Barranquilla, Colombia is analyzed. For this, reference scenarios are carried out using the IDF curve estimation method of the Institute of Hydrology, Meteorology and Environmental Studies (IDEAM), with inputs from the Ernesto Cortissoz and Las Flores stations. In addition to considering a contrast scenario based on the Mejía (2017) model. The hydrological simulation is carried out with the HEC-HMS program using the SCS method. For the hydraulic simulation, HCANALES and HEC-RAS are used. As a result, the hydraulic design variation and cost differences were found. The data scenario from the Ernesto Cortissoz station being the one with the least variability and uncertainty. It is concluded that the Mejía (2017) model is a useful tool to optimize the calculation of hydrological analysis and hydraulic design. To estimate the uncertainty and apply the GLUE method, it is necessary to measure flow data.