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Urban pluvial flood forecasting - rainfall data processing - experimental site in Redbridge. Prof. Čedo Maksimović , Dr. Christian Onof, Li-Pen Wang Dept. Civil and Environmental Engineering, Imperial College London Visitors from University of Iowa, 28/05/2010 @ ICL.
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Urban pluvial flood forecasting- rainfall data processing- experimental site in Redbridge Prof. ČedoMaksimović, Dr. Christian Onof, Li-Pen Wang Dept. Civil and Environmental Engineering, Imperial College London Visitors from University of Iowa, 28/05/2010 @ ICL
A more reliable flooding forecast could be implemented if a high-resolution rainfall prediction with longer lead time is carried out Rainfall Depth Observed Predicted Resolution Now Time Lead time Sewer Simulation Runoff Modelling Surface Flooding Forecast / Warning
Aim to carry out high-resolution rainfall forecasting with longer lead time Rainfall data processing
Possible improvements in Nowcasting, Calibration & Downscaling • Information based upon NWP outputs • Advection of rainfields • Larger-scale weather variations • Enhanced radar observations • X-Band radar and ground raingauge data • Super-resolution techniques to improve the spatial resolution • Statistically-based space-time downscaling techniques • Cascade-based spatial disaggregation method • Temporal correlation between successive rainfields
Cran Brook catchment in the London borough of Redbridge Experimental site
Three real-time accessible tipping bucket raingauges over the Redbridge catchment (frequency: 1 – 5 min)
Real-time access to 30+ weather monitoring systems in each London Borough (frequency: 30 min)
Two sensors for water depth measurement in sewers (frequency: 5/10 min)
One sensors for water depth measurement in open channels (frequency: 5-10 min)
Thank you for your attention Li-Pen Wang li-pen.wang08@imperial.ac.uk