Citas bibligráficas
Irigoin, S., (2020). Modelación hidráulica e hidrológica de eventos para la predicción de escenarios de riesgos en la microcuenca de la quebrada Juninguillo – Moyobamba, 2018 [Universidad Nacional de San Martín. Fondo Editorial]. http://hdl.handle.net/11458/4026
Irigoin, S., Modelación hidráulica e hidrológica de eventos para la predicción de escenarios de riesgos en la microcuenca de la quebrada Juninguillo – Moyobamba, 2018 []. PE: Universidad Nacional de San Martín. Fondo Editorial; 2020. http://hdl.handle.net/11458/4026
@mastersthesis{renati/1054505,
title = "Modelación hidráulica e hidrológica de eventos para la predicción de escenarios de riesgos en la microcuenca de la quebrada Juninguillo – Moyobamba, 2018",
author = "Irigoin Vasquez, Stanler",
publisher = "Universidad Nacional de San Martín. Fondo Editorial",
year = "2020"
}
In this research the main objective was to apply hydraulic and hydrological simulations of events for the prediction of risk scenes in the micro watershed of the Juninguillo stream. For this purpose, a hydrological modelling was carried out with the data provided by SENAMHI, delimiting the micro watershed with its drainage units; for these its geomorphological parameters were determined, applying the soil conservation service (SCS) method, the initial abstractions and the number (CN) curve were calculated, ending with the HEC – HMS software using the synthetic hydrogram of the SCS transforming the net precipitation into surface runoff; As results, we obtained the peak flows 24,00 m3/s; 29,20 m3/s; 32,50 m3/s and 44,00 m3/s for the return periods of 50, 100, 150 and 500 years respectively. Likewise, hydraulic modelling in order to determine flood levels for different flows drained in the stream and to serve as a support to take the necessary measures in the critical sectors by drawing up the flood maps, for this it was determined the section that is upstream to the projected uptake for the water supply to the city of Moyobamba, using the HEC - RAS software for the processing of input data such as the topography of the cross section of the stream, the coefficient of manning (n) and peak flow rates, the hydraulic profiles of the studied section were obtained, finally calibrating the model to generate the flood maps in the established return periods.
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