A real time hydrological forecasting system using a fuzzy clustering approach

A new technique to predict extreme and rare situations of hydrometric levels in hydrological basins is presented in this paper. A fuzzy logic approach has been exploited for the adaptive clustering of input data and for the forecasting model. The methodology has been developed, in collaboration with an Italian manufacturer of meteorological and environmental sensing equipment, for the design of a system prototype to be installed in the “Padule di Fucecchio” basin in Middle-North of Italy. All the presented data come from monitoring equipments installed in this basin. The effectiveness of the method has been evaluated by comparing the performance to that obtained with a neural network forecasting approach.