Sewer system calibration for smart cities

The research presented here is introducing a modelling approach which investigates the influence of different runoff parameters that are used in the modelling process to achieve a suitable representation of the urban catchments runoff. The aim of this research is to analyse the calibration of a hydrological model in the area of Ølsted, Denmark. Quantitative data such as rainfall, water level and flow were recorded during October 2016-February 2017. A sensitivity analysis was made on three different runoff parameters. To compare the impact on the water level and flow recreated by the hydrodynamic model, different calibration scenarios were analysed. The errors in volume and peak were up to 10% and the correlation coefficient was in between 0, 8-1 in more than 50% of the events. The sensitivity analysis showed a substantial difference of the water flow to the sewer system, emphasizing the necessity of uncertainty analysis of the hydrological models.