GENERATION OF MONTHLY FLOW IN THE LURIN RIVER BASIN UP THE MANCHAY HYDROMETRIC STATION USING THE GR2M MODEL

Abstract

This research focuses on the Lurín River basin, specifically up to the Manchay Hydrometric Station, with the objective of estimating monthly flow series spanning 34 years. The GR2M model was employed to achieve this goal. Temperature data was sourced from the ERA5 dataset, managed by the European Space Agency's Copernicus Satellite, while precipitation information was derived from the RAIN4PE gridded product. Access to these datasets was facilitated through the Google Earth Engine (GEE) platform. Additionally, daily flow records from the Manchay Hydrometric Station, covering the period from January 1981 to February 1984, were obtained from the National Water Authority (ANA) and subsequently converted into monthly averages. The calibration and validation of the model were based on these processed data. To evaluate the model's performance, efficiency criteria such as the Nash-Sutcliffe coefficient and the coefficient of determination (R²) were utilized.