Generación de series temporales de calidad de aguas mediante métodos empíricos

Abstract

Although processes governing hydrological dynamics in a Mediterranean watershed are deeply affected by a high variability due to intense rainfall events, as well as by groundwater, and these facts provoke a hard diffculty on the prediction of the long-term solute inputs, because the strong in uence that the discharge variability implies into that of the solutes concentrations, it is possible to simulate with a high grade of reliability the inputs of a variable at the watershed in those cases where no registered data are available. In this document it is proposed a statistical approach to fill those voids on the time series of water quality measured data, and to predict full time series, through those correlations existing between registered concentrations and loads of solutes at the different control points on the uvial network.