Comparing quantitative precipitation forecast methods for prediction of sewer flows in a small urban area |
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| Authors: | Alma Schellart Sara Liguori Stefan Krämer Adrian Saul Miguel A Rico-Ramirez |
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| Institution: | 1. Department of Civil and Structural Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UKA.Schellart@sheffield.ac.uk;3. Department of Civil Engineering, University of Bristol, Bristol BS8 1TR, UK;4. Institute for Technical and Scientific Hydrology (ITWH) Ltd., Engelbosteler Damm 22, D-30167 Hanover, Germany;5. Department of Civil and Structural Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK |
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| Abstract: | AbstractDue to the relatively small spatial scale, as well as rapid response, of urban drainage systems, the use of quantitative rainfall forecasts for providing quantitative flow and depth predictions is a challenging task. Such predictions are important when consideration is given to urban pluvial flooding and receiving water quality, and it is worthwhile to investigate the potential for improved forecasting. In this study, three quantitative precipitation forecast methods of increasing complexity were compared and used to create quantitative forecasts of sewer flows 0–3 h ahead in the centre of a small town in the north of England. The HyRaTrac radar nowcast model was employed, as well as two different versions of the more complex STEPS model. The STEPS model was used as a deterministic nowcasting system, and was also blended with the Numerical Weather Prediction (NWP) model MM5 to investigate the potential of increasing forecast lead-times (LTs) using high-resolution NWP. Predictive LTs between 15 and 90 min gave acceptable results, but were a function of the event type. It was concluded that higher resolution rainfall estimation as well as nowcasts are needed for prediction of both local pluvial flooding and combined sewer overflow spill events. Editor D. Koutsoyiannis; Guest editor R.J. Moore |
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| Keywords: | rainfall runoff radar nowcasting numerical weather prediction flow forecasting urban drainage |
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