Modelamiento con SWAT y GR2M para la Subcuenca del Río Guayllabamba

Demographic growth and urban expansion cause pressure on the water resource in the sub-basin of the Guayllabamba River (SRG). At present, the demand for this supply has increased, affecting the surface, underground, recharge and riverbed sources. For this reason, a hydrological modelling was carried...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile nagusia: Gallo Llumigusin, Karen Estefania (author)
Beste egile batzuk: Iza Jiménez, Bryan Antonio (author)
Formatua: bachelorThesis
Hizkuntza:spa
Argitaratua: 2018
Gaiak:
Sarrera elektronikoa:http://repositorio.utc.edu.ec/handle/27000/6372
Etiketak: Etiketa erantsi
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Deskribapena
Gaia:Demographic growth and urban expansion cause pressure on the water resource in the sub-basin of the Guayllabamba River (SRG). At present, the demand for this supply has increased, affecting the surface, underground, recharge and riverbed sources. For this reason, a hydrological modelling was carried out in the SRG in order to know the behavior of the flow in the area. In this study, two hydrological models were compared: SWAT (semi-distributed) and GR2M (aggregate), with a period of 22 years (1983-2004) for calibration and 9 years (2005-2013) for validation, evaluated by the Nash-Sutcliffe index and the coefficient of determination (R2). The precipitation and temperature data of nineteen meteorological stations and a hydrological were considered. For GR2M, the Hydrometeorological information was required monthly and for SWAT the climatic engine data “Reanalysis of the climate forecasting system” was used for the period 1982 -2013. The GR2M model achieved a satisfactory efficiency, both in the calibration period as well as validation, with a Nash coefficient and R2 greater than 0.60. On the other hand, SWAT presented the evaluation criteria lower than the established range, qualifying it as “insufficient” for the representation of flows in the study area. In conclusion, it can be pointed out that, GR2M being a rainfall-runoff model that does not consider basin factors such as: land use, soil type, slope, can generate more efficient results in simulation than the SWAT model.