Author(s): Kevin A. Traverso, José A. Mamani, Roberto Alfaro

Linked Author(s): Roberto Alfaro-Alejo

Keywords: Precipitation-runoff; Mathematical model; Auto regression; Monthly-flows;

Abstract: Due to the dissatisfaction of not having hydrometric and hydrological stations in the middle and upper part of the basins, there is a need to have hydrological modeling tools for a sustainable management of water resources, in this work we propose the development of four mathematical models precipitation-runoff, allow them to estimate the information of monthly flows, these models are based on the hydrological characteristics of the basin taking as variables the area of the basin, precipitation, effective precipitation and evapotranspiration. The implementation and validation of the models have been applied to the Huancane river basin located in the Peruvian highlands. The models have been developed through the analysis of auto regressions, denominating them Traverso Autoregressive Hydrological Models (ART), for the validation of the models the hydrological model of Lutz Scholz has been applied, making a comparison with the volumetric flows and the flows generated by each model, using statistical validation, we found the most optimal model ART2 analyzed with the observed flow rates (r = 0.78, E = 0.61) and flow rates of the Lutz Scholz model (r = 0.92, E = 0.81). The optimal model found can be applied to other basins taking into account the hydrological characteristics, a methodology for its application has been established.

DOI: https://doi.org/10.3850/38WC092019-1617

Year: 2019