Bibliographic citations
Nieto, L., De, E. (2023). Análisis de máximas avenidas de la cuenca transfronteriza del río Zarumilla (Perú - Ecuador) usando el software Hec-Hydrologic Modeling System [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/669031
Nieto, L., De, E. Análisis de máximas avenidas de la cuenca transfronteriza del río Zarumilla (Perú - Ecuador) usando el software Hec-Hydrologic Modeling System [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2023. http://hdl.handle.net/10757/669031
@misc{renati/407750,
title = "Análisis de máximas avenidas de la cuenca transfronteriza del río Zarumilla (Perú - Ecuador) usando el software Hec-Hydrologic Modeling System",
author = "De La Torre Escalante, Edgar Efrain",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2023"
}
Given the lack of information and limited studies in different transnational basins, an analysis of maximum floods has been carried out in the transboundary basin of the Zarumilla River (Peru-Ecuador). For this purpose, a hydrological model has been developed in the present study to estimate peak flow rates at any point in the river basin under investigation. During the model development, information provided by various national institutions, such as ANA, was processed, and the ANDREA application (Analysis of Water Data and Statistical Resources) was extensively utilized. Additionally, relevant data, including hydrological information, cartography, and meteorological data related to the basin, were collected for the methodology of this study. All these data were processed to obtain maximum 24-hour precipitation, which was then disaggregated using the Dick and Peshcke method to input into HEC-HMS. Finally, with all the information fed into the HEC-HMS software, the results of maximum floods were obtained for different return periods: 215.289 m3/s for 10 years, 523.088 m3/s for 25 years, 734.98 m3/s for 50 years, and 1087.978 m3/s for 100 years. These findings are of great significance to understand and adequately manage the hydrological behavior of the Zarumilla River basin under various future scenarios.
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