Bibliographic citations
Jiménez, L., Melgar, J. (2021). Generación de un mapa de peligro de inundación mediante el modelamiento hidráulico en el software “Flo 2d“, influenciado por el fenómeno del niño costero 2017, caso de estudio cuenca baja del Río Mala [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/661069
Jiménez, L., Melgar, J. Generación de un mapa de peligro de inundación mediante el modelamiento hidráulico en el software “Flo 2d“, influenciado por el fenómeno del niño costero 2017, caso de estudio cuenca baja del Río Mala [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2021. http://hdl.handle.net/10757/661069
@misc{renati/400492,
title = "Generación de un mapa de peligro de inundación mediante el modelamiento hidráulico en el software “Flo 2d“, influenciado por el fenómeno del niño costero 2017, caso de estudio cuenca baja del Río Mala",
author = "Melgar Castro, Joel Marcos",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2021"
}
In 2017, Peru was hit by El Niño Coastal Phenomenon which caused flooding and debris flows across the country. This climatic phenomenon was generated by changes in pressure and temperature levels in the Pacific Ocean that produce environmental and socio-economic impacts. The Mala River exceeded the limits of its hydraulic capacity, overflowed its banks and caused agricultural damages, infrastructure damages, health and hygiene damages as well. There is a lot of research that has focused on modelling flood flow with different tools such as numerical models to mitigate and reduce the impact caused by floods. In this context, the present research focuses on hydrological and hydraulic modelling in the lower basin of the Mala River. For this purpose, high-resolution topographic parameters were used. The images were taken by an unmanned aerial vehicle (UAV) over the last 5 kilometers of the Mala River. For the hydrological modelling, the HEC-HMS software was used to obtain the input hydrographs for return periods of 5, 10, 25, 50, 100 and 200 years. For the hydraulic modelling, the FLO-2D pro version software was used, which facilitates the obtaining of the maximum flow rates and velocities in the return periods mentioned. On the other hand, hazard maps were generated for risk assessment. Finally, the results were validated and compared with several investigations and field measurements in the study area.
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