Citas bibligráficas
Flores, W., (2019). Sistema de alerta temprana para descargas eléctricas para la cuenca del río Mantaro - Perú [Tesis, Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/4127
Flores, W., Sistema de alerta temprana para descargas eléctricas para la cuenca del río Mantaro - Perú [Tesis]. : Universidad Nacional Agraria La Molina; 2019. https://hdl.handle.net/20.500.12996/4127
@mastersthesis{sunedu/3953986,
title = "Sistema de alerta temprana para descargas eléctricas para la cuenca del río Mantaro - Perú",
author = "Flores Villanueva, Weidi",
publisher = "Universidad Nacional Agraria La Molina",
year = "2019"
}
In the present study, considering the Mantaro River basin in the central highlands of Peru, the differences in brightness temperatures between the water vapor and infrared bands of the GOES 13 satellite were calculated and evaluated between June 2015 and November of 2017 in relation to the occurrence of atmospheric electric discharges within a radius of 10 km with respect to the selected meteorological stations, being found ratios for calculation of probability of occurrence of rays based on the difference of temperature of brightness that was used in the simulations of implementation of an Early Warning System for Atmospheric Electric Discharge in the rural communities of Marcapomacocha and Huayao; the application of the relations in the probabilities algorithms allowed to follow the cloud systems that had defined characteristics for the occurrence of atmospheric electric discharges. The results show that the use of the appropriate bands in the appropriate algorithm provide relevant information to possible atmospheric electric shock events up to 1 hour in advance and is very useful for activating an early warning system for atmospheric electric shocks in the communities in the high Andean areas of the country with responsible action of those involved such as professionals, authorities and community in general with common purposes such as preventing damage and saving lives. Up to 30 percent probability was obtained for the occurrence of up to 8 rays in a typical cloud system and based on a range of brightness temperature differences from -4 to -13 ° C between bands 9 and 14 of the GOES 16 weather satellite.
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