Citas bibligráficas
Jayo, P., (2011). Modelación de la relación precipitación-escorrentia en la cuenca del río Mala mediante el modelo Precaud v.1.0 [Tesis, Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/758
Jayo, P., Modelación de la relación precipitación-escorrentia en la cuenca del río Mala mediante el modelo Precaud v.1.0 [Tesis]. : Universidad Nacional Agraria La Molina; 2011. https://hdl.handle.net/20.500.12996/758
@misc{renati/245402,
title = "Modelación de la relación precipitación-escorrentia en la cuenca del río Mala mediante el modelo Precaud v.1.0",
author = "Jayo Jiménez, Pedro Saúl",
publisher = "Universidad Nacional Agraria La Molina",
year = "2011"
}
The models to predict the flows are receiving increasing attention in water management projects. In this thesis work describes the application, calibration and validation of the hydrological model PRECAUD v. 1.0, to simulate numerically the flow in a watershed. The model was developed by Dr. José Salas and Eduardo Chavarri Engineer V. It is a conceptual hydrological model to monthly time scale and is finality to simulate the rainfall-runoff relationship. The model is applied in the Mala River watershed, region Lima, Peru, which had the advantage of having actual records of flow, measured by of station La Capilla. The basin is divided into four areas of contribution and the model simulates the hydrological cycle process each and the total basin according to the topology defined by the drainage network. Hydrological processes in the model include interception, infiltration, evapotranspiration, percolation to the shallow aquifer, baseflow, groundwater flow, surface flow. It also takes into account the contribution of spring at the aggregate level within each area of contribution (as a direct output from the shallow aquifer). The sensitivity analysis shows that the ~odel is very sensitive to the value of the flow parameters base 1 underground. The results obtained in the calibration and validation stages of the model are highly satisfactory. for this used the Nash Sutcliffe coefficient (0.429), the relative error in the mass balance (7.8%) and the linear correlation coefficient of Pearson (0.656) comparing the results from field measurements with those obtained by hydrological model for a period of 72 years (1938-2009). At the same time it was found that through this model can predict the hydrological behavior of the basin by 2030, considering the climatic and environmental changes that will suffer the basin in that year, according to research conducted by the SENAMHI. This study is shown that to use the model PRECAUD v.1.0, is required to first consider the collection of information necessary for processing the model and to obtain reliable estimates of river discharge.
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