Author(s): Maria Clara Fava; Maurizio Mazzoleni; Narumi Abe; Eduardo Mario Mendiondo; Dimitri P. Solomatine
Linked Author(s):
Keywords: Data assimilation; Distributed model; Flood modelling; Physically-based model; SWMM
Abstract: Places with limited coverage of rainfall gauges could present the challenge of providing accurate predictions, especially in cases of urbanised areas with rapid responses to heavy rainfall events. Physicallybased models can represent the physics and spatial distribution of rainfall events in urban watersheds. Data assimilation techniques have been widely used in hydraulic and hydrological models to update model states and provide a more reliable prediction. However, model updating in case of non-linear systems is considerably complex. In this study, we present an approach to update an urban model assimilating water level values. The preliminary results of this study show a significant improvement in the results of simulations when assimilating water level observation. The methodology is applied in the city of S~ao Carlos, in Brazil, where the urban system is modelled using SWMM.
Year: 2018