Bibliographic citations
Limo, J., (2023). Estudio de inundabilidad del caserío de Huarangopampa por el río Utcubamba, provincia de Utcubamba, departamento de Amazonas, 2020 [Universidad Católica Santo Toribio de Mogrovejo]. http://hdl.handle.net/20.500.12423/7122
Limo, J., Estudio de inundabilidad del caserío de Huarangopampa por el río Utcubamba, provincia de Utcubamba, departamento de Amazonas, 2020 []. PE: Universidad Católica Santo Toribio de Mogrovejo; 2023. http://hdl.handle.net/20.500.12423/7122
@misc{renati/1106229,
title = "Estudio de inundabilidad del caserío de Huarangopampa por el río Utcubamba, provincia de Utcubamba, departamento de Amazonas, 2020",
author = "Limo Gamboa, Jimena Yolanda",
publisher = "Universidad Católica Santo Toribio de Mogrovejo",
year = "2023"
}
In this research, the hydrological analysis of the Motupe basin is carried out, and later the hydraulic analysis of the Motupe river, in order to obtain a flood map that allows identifying the areas susceptible to this phenomenon, in the district of Milagro, Amazonas. In order to carry out the flood map, we start from the hydrological analysis that consists of delimiting the Utcubamba basin, determining its characteristics, with the help of the ArcGis program. Previously, the precipitation data from the different rainfall stations will have to be collected, where by means of probabilistic methods and goodness tests, and estimating the missing data, the design hietograms can be obtained in order to obtain the maximum flows (design flows) for different proposed return times. For hydraulic analysis, field visits are required to determine the most appropriate roughness coefficient for the river, and also to obtain a broader view of the study site.,contour lines and bathymetry will be obtained, fundamental data for modeling and obtaining cross sections of the river. For this, the mathematical model HEC-RAS will be used. And thus, with the intervention of the programs and the proposed analysis, it will be possible to obtain the flood map and thus provide the most appropriate alternative solution to the problem that may be generated.
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