Regionalizacion de precipitaciones maximas en 24 horas aplicando el Método de L- Moments para la Cuenca Alta del Río Magdalena

Abstract

This work of degree is framed in the estimation of the maximum annual precipitation in 24 hours like a maximum extreme event, this subject is of great importance since in the last years has increased the concern of the population and its leaders due to the change and variability Climatic, affecting cultural, social, political and economic both to the human being and to the environment, doing damage to houses and affecting, communications, transportation, agriculture, until devastating vegetation and even causing personal injuries reaching to the death to whole families . Since these maximum events are of great importance because of the problems they can cause, it is necessary to study, characterize and regionalize the areas that can be affected, using efficient and direct methods, using them to implement and design engineering works necessary to cancel Or mitigate the effects on the population and the environment. The research aims to develop maps of maximum precipitation by implementing the L-Moments methodology established by Hosking & Wallis, 1997 to regionalize the upper Magdalena River basin, using climatological stations of the Institute of Hydrology, Meteorology and Environmental Studies of Colombia ( IDEAM) and the autonomous regional corporation of cundinamarca (CAR). In order to carry out the method, a series of steps are taken into account: Calculation of the L-Moments of the stations. Delimitation of homogeneous regions. Selection of probability distributions and calculation of quantiles. Generation of maps of the maximum events. During the regionalization, 8 regions of maximum precipitation were found in 24 hours. The most likely distributions for the precipitation regions were GNO (4 Regions), followed by GNO (2 Regions), while the GEV and PEIII distributions to only one region each, determining that the obtained results can be used To make estimates of maximum rainfall in 24 hours at non-instrumented sites for different return periods provided that the database of the required information is updated.