Rainfall – runoff model of the Huangpu River in Shanghai

Shanghai is a city located in a coastal region and to understand the flood risks it is exposed to, it is of most importance to first understand the processes that control the water levels for the different flood scenarios. Historically, the Huangpu River has reached its highest levels during landfalling typhoon events, which create a combined scenario that involves high sea water levels due to storm surge, and high river water levels consequent not only of the storm surge at the river mouth, but also of the runoff generated by precipitation in the upstream regions. This research project will focus on the later, assessing the impact of torrential rainfall during tropical storms on the water levels along the Huangpu River in Shanghai city. By studying the hydrological regime of the area of interest, three main watershed regions are identified for the Huangpu river basin; the Taihu lake basin situated upstream regulates the yearly discharge on the downstream areas of the river and is controlled by means of a flood gate which remains closed once a certain flood risk is identified, an agricultural area covered in its majority by an interconnected lake system, and the river basin which encompasses the remaining contributing regions to the system. A hydrological model is built for the Huangpu river basin following the rational method, identifying from satellite databases the dominant land cover classes of the region, the hydrological soil group based on the different soil contents, and the average slope around the area based on a digital elevation model. Using the precipitation data from typhoon Fitow, the hydrological model was used to estimate the corresponding discharge time-series from the storm to be used as input on a hydrodynamic model of the Huangpu river. The hydrodynamic model of the river was built using D-Flow Flexible Mesh, it was used to assess different scenarios of the river system configuration, allowing to understand not only the overall contribution of rainfall-runoff to the river discharge but also the effect of each of the catchments on the river system. The performance of this model, as well as of the hydrological model was observed by comparing the predicted values with the site measurements at two hydrological stations, one midstream at Huangpu Park which highlighted the strong influence of the tide on the water levels for the river sections closer to the sea, and one upstream at Mishidu where the influence of the rainfall runoff to the water levels could be observed. The hydrological model was then validated using the precipitation data from typhoon Haikui, taking the corresponding discharge time-series for it to the DFM river model and comparing the estimated water levels to the actual measurements. Finally the river profile with the maximum water levels along it as predicted by the DFM model was compared to the scenario modelled with no rainfall-runoff discharge and the measured embankment height to understand the contribution to flood risk of the torrential rainfall during tropical storms on the water levels along the Huangpu River.Additional thesi