Water estimation model for the agricultural and population sectors of the Tablachaca watershed in Peru
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Abstract
Climate change and human-induced modifications to water resources negatively affect the natural flow regimes of the river. Therefore, understanding hydrological alterations is crucial for water estimation in watersheds. This study analyzed water estimation in the Tablachaca River watershed for the agricultural and population sectors. The water estimation model was developed in Soil and Water Assessment Tool (SWAT), in which the sensitivity analysis was applied to the model, as well as the degree of precision through the Nash-Sutcliffe efficiency coefficient (NSE), percentage bias (PBIAS) and the coefficient of determination (R2). The main results were the water availability of the basin was 40.67 m3/s and 23.29 m3/s for agricultural use and human consumption with a probability of 75 % and 95 %, respectively. Model calibration reached an NSE of 0.79; PBIAS of -5.69 % and R2 of 0.80 and a validation with NSE of 0.75; PBIAS of -19.22 % and R2 of 0.82, which in effect made it possible to obtain a water estimation model with effective performance.
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