Comparison Of Short Term Rainfall Forecasts For Model Based Flow Prediction In Urban Drainage Systems
| Autor: | Søren Thorndahl, Troels Sander Poulsen, Thomas Bøvith, Morten Borup, Malte Ahm, Nielsen, Jesper E., Morten Grum, Michael Robdrup Rasmussen, Rasphall Gill, Peter Steen Mikkelsen |
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| Přispěvatelé: | Prodanović , Dušan, Plavšić, Jasna |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: | |
| Zdroj: | Thorndahl, S L, Poulsen, T S, Bøvith, T, Borup, M, Ahm, M, Nielsen, J E, Grum, M, Rasmussen, M R, Gill, R & Mikkelsen, P S 2012, Comparison Of Short Term Rainfall Forecasts For Model Based Flow Prediction In Urban Drainage Systems . in D Prodanović & J Plavšić (eds), Urban Drainage Modelling : Proceedings of the Ninth International Conference on Urban Drainage Modelling . Faculty of Civil Engineering, University of Belgrade, Ninth International Conference on Urban Drainage Modelling, Belgrade, Serbia, 04/09/2012 . Technical University of Denmark Orbit Aalborg University |
| Popis: | 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 hours. The best performance of the system is found using the radar nowcast for the short leadtimes and weather model for larger lead times. |
| Databáze: | OpenAIRE |
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