Schleiss, AntonPortela Correia dos Santos Ramos da Silva, Maria ManuelaGamito de Saldanha Calado Matos, José Pedro2014-07-092014-07-092014-07-09201410.5075/epfl-thesis-6225https://infoscience.epfl.ch/handle/20.500.14299/104964urn:nbn:ch:bel-epfl-thesis6225-2enartificial neural networkscalibrationdischarge forecastinghydrological modelingmachine learningoptimizationPattern-Oriented Memoryrainfall interpolationsupport-vector machinesSWATTRMMuncertaintyZambeziHydraulic-hydrologic model for the Zambezi River using satellite data and artificial intelligence techniquesthesis::doctoral thesis