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Www.floodrisk.org.uk EPSRC Grant: EP/FP202511/1 Probabilistic Forecasting for Local Flooding David Leedal, Paul Smith, Keith Beven and Peter Young Lancaster.

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Presentation on theme: "Www.floodrisk.org.uk EPSRC Grant: EP/FP202511/1 Probabilistic Forecasting for Local Flooding David Leedal, Paul Smith, Keith Beven and Peter Young Lancaster."— Presentation transcript:

1 www.floodrisk.org.uk EPSRC Grant: EP/FP202511/1 Probabilistic Forecasting for Local Flooding David Leedal, Paul Smith, Keith Beven and Peter Young Lancaster Environment Centre

2 Local Flood Forecasting Level sensors are cheap and easily networked GPRS/IP logger Depth sensor fittings £500 £50 500 900 950 Total: £ £400 Data…

3 Local Flood Forecasting Level sensors are quick to installation Work with rainfall or level input Provide a forecast where it’s needed logger tree ladder Dr Paul Smith

4 Local Flood Forecasting Data Based Mechanistic (DBM) Modelling Approach Simple nonlinearity + transfer function model within stochastic data assimilation framework Identification of State Dependent Nonlinearity directly from data added in FRMRC1 Further development of data assimilation from local sensors in FRMRC2

5 River Eden Sensor Network Funded by FRMRC2 to (a) Test HD model predictions and (b) Test local flood forecasting Stead McAlpin Local flood forecasting test site:

6 Local Forecasting at Stead McAlpin (river Caldew nr. Carlisle) Stead McAlpin Factory – flooded in Jan 2005 (almost in 2009 & 2010)

7 2 hour forecast 4 hour forecast 5 hour forecast Mean forecast Standard error Hourly observations Forecasting Results Calibration: Nov 2009 event Testing: Nov 2010 event

8 Summary Local flood forecasts might be useful to local stakeholders, even with short to medium forecast lead times FRMRC2 has produced a simple way of providing local flood forecasts with estimates of forecast uncertainty using local level sensors and on-line data assimilation Further work on self-calibrating models is on-going – install-and-leave

9 www.floodrisk.org.uk EPSRC Grant: EP/FP202511/1 Acknowledgement The research reported in this presentation was conducted as part of the Flood Risk Management Research Consortium with support from the: Engineering and Physical Sciences Research Council Department of Environment, Food and Rural Affairs/Environment Agency Joint Research Programme United Kingdom Water Industry Research Office of Public Works Dublin Northern Ireland Rivers Agency Data were provided by the EA and the Ordnance Survey.


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