Citas bibligráficas
Zevallos, J., (2019). Estimación de curvas de intensidad-duración-frecuencia de precipitaciones para el Perú usando precipitaciones horarias simuladas con el modelo de pulso rectangular de Bartlett- Lewis [Tesis, Pontificia Universidad Católica del Perú]. http://hdl.handle.net/20.500.12404/14455
Zevallos, J., Estimación de curvas de intensidad-duración-frecuencia de precipitaciones para el Perú usando precipitaciones horarias simuladas con el modelo de pulso rectangular de Bartlett- Lewis [Tesis]. PE: Pontificia Universidad Católica del Perú; 2019. http://hdl.handle.net/20.500.12404/14455
@mastersthesis{renati/10797,
title = "Estimación de curvas de intensidad-duración-frecuencia de precipitaciones para el Perú usando precipitaciones horarias simuladas con el modelo de pulso rectangular de Bartlett- Lewis",
author = "Zevallos Ruiz, José Augusto",
publisher = "Pontificia Universidad Católica del Perú",
year = "2019"
}
The need for quantifying the risk of occurrence of precipitation of a certain intensity and duration is vital for providing engineering works in Peru. A tool for estimating it is the intensity-duration-frequency relationship (IDF). The accuracy of such relationship depends on the quality of the data and its temporal resolution, which is typically hourly (Ritschel et al., 2017). However, the length or the recorded series are short, which makes it difficult to infer confident statistical properties for sub daily curves. A method of estimating the IDF curves on Peruvian territory is developed in this investigation, using the General Distribution of Extremes (GEV) to calculate the intensities of different duration for 5, 50, 100 and 200 years of return. The method was validated by comparing the generated curves with observed and simulated data for the Toquepala mine site located in the southern highlands of Peru. The simulated hourly data were generated with the Bartlett-Lewis stochastic rectangular pulse model (BLRPM), (Rodriguez-Iturbe, D.R. Cox, 1988), which was calibrated with observed daily information and corrected data from the TRMM satellite 3b42. As result of this comparation, it was observed that the series obtained with BLRPM capture the main statistical characteristics of the IDF curves. To obtain the curves at the national scale, the validated method was applied to the daily rainfall data provided by the National Meteorological and Hydrological Service of Peru (SENAMHI). The stations are distributed in the main river basins. The resulting IDF curves can be seen in the following link: https://josezevallosr.github.io/CurvasIdf/mapa.html
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