Forecast-based flow prediction in drainage systems can be used to implement real-time control of drainage systems. This study compares two different types of rainfall forecast - a radar rainfall extrapolation-based nowcast model and a numerical weather prediction model. The models are applied as input to an urban runoff model predicting the inlet flow to a waste water treatment plant. The modelled flows are auto-calibrated against real-time flow observations in order to certify the best possible forecast. Results show that it is possible to forecast flows with a lead time of 24 h. The best performance of the system is found using the radar nowcast for the short lead times and the weather model for larger lead times.
Water Science and Technology, 2013, Vol 68, Issue 2, p. 472-478
DMI-HIRLAM; Forecast; Numerical Weather Model; Radar; Runoff Model; Drainage; Forecasting; Real time control; Sewage; Weather forecasting