Socio-economic activities taking place in a watershed produce changes in land uses that modify the behaviour of infiltration and its relationship with the generation of surface runoff. This study has two main objectives: a) determine the effect of the static storage (initial abstractions plus soil capillary retention) and saturated infiltration capacity variation on the flood magnitude, and; b) incorporate the scalability properties of fractal models to describe the flood variability with respect to changes in static storage. The study area corresponds to the Combeima River basin in Colombia, South America, where historic changes in land use between 1991 and 2007 were analysed, along with the watershed’s hydrological response, modelled through a distributed hydrological model. A frequency analysis was carried out with the Generalized Extreme Value (GEV) and Gumbel probability distribution functions. Later, a joint estimation of scaling theory was implemented to synthesise regularities of flood behaviour using the mean watershed static storage and saturated infiltration capacity as scales. This scaling behaviour was found not only for the flood moments, but also for the probability distribution parameters. The obtained results were useful to determine that, through potential equations, it is possible to describe both the variation in static storage brought about by land use changes and the magnitude of flood quantiles.