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Due to historical problems, such as river overflows in the Pacific slope basins, this study focuses on the Ica basin, which has recently experienced climatological disasters. The main objective is to generate monthly flows over a period of 32 years using the GR2M model, of which we will also explain its limitations, from the basin to the La Achirana hydrological station. Results showed an R2 of 0.85 and a Nash-Sutcliffe efficiency of 0.78, indicating a good fit between observed and simulated data. The GEE platform was used to obtain temperature (ERA5) and precipitation (RAIN4PE) data. The calibration and validation of the model was carried out using daily flow data (monthly averages) from the Water Observatory (ANA) of the La Achirana hydrological station between September 2013 and December 2015. This methodology aims to offer a comprehensive examination of the interaction between climatic variables and river flows, with important implications for the management and forecasting of extreme hydrological events.

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Generation of Monthly Flows in the Ica River Basin up to the La Achirana Hydrometric Station Using the GR2M Precipitation-Runoff Model

  • 会议论文

  • 发表日期：

    2025年

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  • Angel Gabriel Ochante Sanchez,
  • Diego Fermin Jonislla Rojas,
  • Abel Carmona Arteaga

摘要

Due to historical problems, such as river overflows in the Pacific slope basins, this study focuses on the Ica basin, which has recently experienced climatological disasters. The main objective is to generate monthly flows over a period of 32 years using the GR2M model, of which we will also explain its limitations, from the basin to the La Achirana hydrological station. Results showed an R2 of 0.85 and a Nash-Sutcliffe efficiency of 0.78, indicating a good fit between observed and simulated data. The GEE platform was used to obtain temperature (ERA5) and precipitation (RAIN4PE) data. The calibration and validation of the model was carried out using daily flow data (monthly averages) from the Water Observatory (ANA) of the La Achirana hydrological station between September 2013 and December 2015. This methodology aims to offer a comprehensive examination of the interaction between climatic variables and river flows, with important implications for the management and forecasting of extreme hydrological events.