Use of raingauges network data in the short term prediction of urban pluvial floods
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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 term prediction of urban pluvial floods

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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


42 Raingauge stations in London :


  • 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


  • Rainfall Rate Interpolation in London : (07/07/2009)


    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


    Rainfall Rate (mm/h) in London (07/07/2009) :


    Rainfall Rate (mm/h) in London (07/07/2009) :


    Rainfall Rate (mm/h) in London (07/07/2009) :


    Rainfall Rate (mm/h) in London (07/07/2009) :


    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

    [email protected]


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