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Many records of maximum annual flows (floods) show an upward trend caused by the urbanization developing on its watershed, whereas for other records the trend is downwards due to the construction of reservoirs in the watershed. In both cases, the effects of climate change can exacerbate such trends. Flood frequency analysis allows the estimation of Design Floods, associated with low probabilities of exceedance. This technique, in non–stationary records, can be performed based on several probability distribution functions (PDF); varying linearly its location parameter (u), with one or two covariates, its four and five fit parameters can be obtained by means of the generalization of the L moments method. In this study, the PDFs: General of Extreme Values, Generalized Logistics and Generalized Pareto, are applied to a record of floods without trend but not stationary, using as covariate a global climate index. The same PDFs are used on another record of floods with upward trend, using as covariates the time and two indices of the watershed, one related to the annual maximum rains and the other with the extension of the urban area. The conclusions highlight the simplicity and usefulness of the exposed method.

Análisis de Frecuencias de Crecientes No Estacionario con una y dos Covariables