Abstract
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 forecasts – 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 leadtimes and weather model for larger lead times
Original language | English |
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Journal | Water Science and Technology |
Volume | 68 |
Issue number | 2 |
Pages (from-to) | 472-478 |
Number of pages | 7 |
ISSN | 0273-1223 |
DOIs | |
Publication status | Published - 2013 |
Keywords
- DMI-HIRLAM
- Forecast
- Numerical Weather Model
- Radar
- Runoff Model