Conference paper
Forecast generation for real-time control of urban drainage systems using greybox modelling and radar rainfall
Department of Informatics and Mathematical Modeling, Technical University of Denmark1
Mathematical Statistics, Department of Informatics and Mathematical Modeling, Technical University of Denmark2
Department of Environmental Engineering, Technical University of Denmark3
Urban Water Engineering, Department of Environmental Engineering, Technical University of Denmark4
We present stochastic flow forecasts to be used in a real-time control setup for urban drainage systems. The forecasts are generated using greybox models with rain gauge and radar rainfall observations as input. Predictions are evaluated as intervals rather than just mean values. We obtain satisfactory predictions for the smaller catchment but rather large uncertainties for the bigger catchment where the applied storage cascade seems too simple.
Radar rainfall introduces more uncertainty into the flow forecast model estimation. However, the radar rainfall forecasts also result in a slightly improved point prediction of flows which we aim to exploit with a modified estimation approach in the future.
Language: | English |
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Year: | 2012 |
Proceedings: | 10th International Conference on Hydroinformatics |
Types: | Conference paper |
ORCIDs: | Löwe, Roland , Mikkelsen, Peter Steen and Madsen, Henrik |