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Use of raingauges network data in the short term prediction of urban pluvial floods. Methods of interpolation Cloud tracking Future Work : radar images & Flood modelling. Maureen Coat ENSTA Paristech. Rainfall Data. Database available : 88 Raingauge Stations
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Use of raingauges network data in the short termprediction of urban pluvial floods Methods of interpolation Cloud tracking Future Work : radar images & Flood modelling Maureen Coat ENSTA Paristech
Rainfall Data • Databaseavailable : • 88 Raingauge Stations • Rainfall Rate every 30 min • Between 06/06/2006 and 19/10/2009
Code in SQL , easyselection of rainfall rate: • Atany date • Atany time • In London • Only a discrete set of data… • But rainfallis a continuousphenomenon • => Interpolation in regulargridcells
Methods of interpolation • Manymethodsexist : • Inverse Distance Weight • Liska’sMethod • Polygone of Thiessen • … • The more efficient : KrigingMethod : • Designed for geophysical variables with a continuous distribution • Based on statistics • => Many data are required (Database) • WithMatlab
Cloud Tracking ? • The 07/07/2009 : Flash flood in London • Victoria Station , Edgware road, and Paddington have been evacuated
Rainfall Rate (mm/h) in London (07/07/2009) : Victoria Station Latitude : 51.5104444 Longitude : 0.1872222
Future work :Comparisonwith radar images • Weather radar : • Estimated rainfall rates are derived indirectly from measurements of reflectivity • => subject to a combination of systematic and random errors • Conditional Merging ? Flood modelling : • Bemus (Belgrade Model of UrbanSewers) : • Rainfall Data is in Input • Influence of intensity • Influence of interpolation Method
Thankyou for your attention Maureen Coat maureen.coat@ensta.fr