Bibliographic citations
Lobo, E., (2017). Estudio hidrológico para la identificación de la vulnerabilidad a desbordes de la cuenca baja del río Coata-Puno [Tesis, Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/3366
Lobo, E., Estudio hidrológico para la identificación de la vulnerabilidad a desbordes de la cuenca baja del río Coata-Puno [Tesis]. : Universidad Nacional Agraria La Molina; 2017. https://hdl.handle.net/20.500.12996/3366
@misc{renati/247591,
title = "Estudio hidrológico para la identificación de la vulnerabilidad a desbordes de la cuenca baja del río Coata-Puno",
author = "Lobo Reyes, Erick Vladimir",
publisher = "Universidad Nacional Agraria La Molina",
year = "2017"
}
To start this work collecting bibliographic documentation and studies of the area, location of meteorological and hydrometric stations, of which rainfall data and maximum daily flows will be asked to relevant institutions such as the SENAMHI (national meteorology and hydrology service of Peru) and the ANA (national water authority), in addition to this, satellite images will be obtained. Having monthly maximum rainfall within 24 hours of the stations will proceed to an analysis of questionable data, on the other hand, the satellite image to be obtained before the delimitation of the river basin Coata be carried out with the help of the software Arc Gis 10.2. With the basin delimited will proceed to determine the distribution of precipitation by the method of Polygon Thiessen later adjust these maximum precipitations distributed to a trend equation, eventually allow us to obtain maximum precipitation to different return periods. The maximum rainfall at different periods coupled with some features of the basin return will allow us to calculate maximum flows at different return periods, for which the HEC HMS 5.1 software will be used to determine the reliability of the model was calibrated with the help of data registered in situ in a gauging station. The peaks at different return periods, combined with the topographic area will allow simulate the behavior of the riverbed, which will help identify areas that are at risk Coata overflowing river flows. Finally, to identify vulnerable areas. At the conclusion of this study is expected to identify areas affected by overflows whether growing areas, population, infrastructure, etc. allowing subsequently generate control plans or works in order to reduce vulnerability to this danger.
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