Modelling sewer network behaviour using artificial neural networks

G. Manic, F. Gogien & M. Zug
Forecasting the behaviour of sewer networks has become a priority to better understand and anticipate the hydraulic and the pollution load depending on meteorological events, in order to anticipate the impact of both the treated part of the polluted WWTP inflow and untreated sewerage through the CSO\342\200\231s into the natural environment. This is especially critical for seaside cities because of the quality of the bathing water. An existing \342\200\234white-box\342\200\235 model (described in Gogien et al,.2002...
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