Aplicación de un modelo de drenaje urbano a dos subcuencas de la ciudad de Bogotá
Archivos
Autores
Ortuño Valenzuela, Esperanza Claudia
Director
Tipo de contenido
Trabajo de grado - Maestría
Idioma del documento
EspañolFecha de publicación
2016-08-18
Título de la revista
ISSN de la revista
Título del volumen
Documentos PDF
Resumen
En el presente trabajo se presenta la aplicación del modelo City Drain en dos subcuencas de la ciudad de Bogotá, una pluvial y una sanitaria, ubicadas al nororiente de la ciudad. Se utilizó la información del Plan Maestro de Mediciones implementado por la Empresa de Acueducto, Alcantarillado y Aseo de Bogotá. Con datos de nivel medidos en campo y con la respectiva curva de calibración, se obtuvieron valores de caudal. Para la calibración del modelo se modificaron los parámetros de cada Unidad Gestión de Alcantarillado (UGA) que conforman cada subcuenca, hasta lograr un ajuste adecuado de los caudales observados con los simulados, determinando grado de incertidumbre de los parámetros. Los parámetros más sensibles a la calibración fueron el K de Muskingum, X de Muskingum, pérdidas iniciales hi, pérdidas permanentes hp y caudal en tiempo seco, el cual dependía de las unidades según uso (residenciales, comerciales, oficiales, industriales, multiuso). Para la calibración se tuvo en cuenta el patrón de comportamiento de diferentes eventos, esto facilitó el uso de factores multiplicadores que fueron ingresados al modelo para mejorar el ajuste de los caudales generados. Los parámetros que se calibraron en este trabajo final fueron el K y X de Muskingum, las pérdidas iniciales y permanentes y el de mayor incidencia el caudal en tiempo seco.
Abstract. In this work, the model City Drain is applied to two urban sub-basins of the city of Bogota: one drained by a separated system, the other one by a combined system. Both sub-catchments are located on the northeast part of the city. Measurements carried out as a part of the Master Plan implemented by water and wastewater services provider were used. The data were in the form of water level measured in the field; flow rates were obtained with calibration curves. For calibration of the model, the parameters for each Sewerage Management Unit (UGA) that make up each sub-basin, were modified until a suitable adjustment of the observed and the simulated flows was achieved; the degree of uncertainty was estimated.. The parameters K Muskingum, X Muskingum, initial losses hi, permanent losses hp and dry weather flow were most sensitive to calibration. Those parameters varied, depending on land use (residential, commercial, industrial, multipurpose buildings). The behavior pattern of different events were taken into account for calibration of the model. This facilitated the use of multiplying factors, which were entered into the model to improve the fitness of the generated flows. The parameters were calibrated in this work were Muskingum’s K and X, initial and permanent losses and higher incidence of the dry weather flow.
Abstract. In this work, the model City Drain is applied to two urban sub-basins of the city of Bogota: one drained by a separated system, the other one by a combined system. Both sub-catchments are located on the northeast part of the city. Measurements carried out as a part of the Master Plan implemented by water and wastewater services provider were used. The data were in the form of water level measured in the field; flow rates were obtained with calibration curves. For calibration of the model, the parameters for each Sewerage Management Unit (UGA) that make up each sub-basin, were modified until a suitable adjustment of the observed and the simulated flows was achieved; the degree of uncertainty was estimated.. The parameters K Muskingum, X Muskingum, initial losses hi, permanent losses hp and dry weather flow were most sensitive to calibration. Those parameters varied, depending on land use (residential, commercial, industrial, multipurpose buildings). The behavior pattern of different events were taken into account for calibration of the model. This facilitated the use of multiplying factors, which were entered into the model to improve the fitness of the generated flows. The parameters were calibrated in this work were Muskingum’s K and X, initial and permanent losses and higher incidence of the dry weather flow.