MODELACION ESTOCASTICA Y FIABILIDAD DE UN SISTEMA HIDRAULICO DE RIEGO POR GOTEO

Abstract

We analyze the reliability of a hydraulic system of drip irrigation. As a case study deals with grasslands and trees located in the former federal Lake Texcoco. It makes use of Markov chains and exponential probability distributions, Log-normal, Normal, Weibull, Gamma, Binomial and Poisson among others, for the analysis of random events of interest. Among the components of the system are: • Source of water supply. • Lift station. • Using Geographic Information Systems (GIS) data points, lines and areas was achieved georeferenced spatial area location or position in space measured on the Earth's surface: • The federal area of former Lake Texcoco, • The vegetation of the area, • The Valley of Mexico basins, • The hydrology of the watershed areas, • The eastern tributaries of the Valley of Mexico • The topography of the basin, • Water bodies such as: natural and artificial lakes of the federal zone • The location of the area where it operates the drip irrigation system of grassland and salt cedar trees. And with the use of block diagrams applied to the case study yielded a result of a reliability of approximately 80%, this being a low range as for a hydraulic system operated drip irrigation with wastewater is considered of 85 %.