Forecast generation for real-time control of urban drainage systems using greybox modelling and radar rainfall

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    Abstract

    We present stochastic flow forecasts to be used in a real-time control setup for urban drainage systems. The forecasts are generated using greybox models with rain gauge and radar rainfall observations as input. Predictions are evaluated as intervals rather than just mean values. We obtain satisfactory predictions for the smaller catchment but rather large uncertainties for the bigger catchment where the applied storage cascade seems too simple. Radar rainfall introduces more uncertainty into the flow forecast model estimation. However, the radar rainfall forecasts also result in a slightly improved point prediction of
    flows which we aim to exploit with a modified estimation approach in the future.
    Original languageEnglish
    Title of host publicationProceedings of the 10th International Conference on Hydroinformatics
    Number of pages8
    Publication date2012
    Publication statusPublished - 2012
    Event10th International Conference on Hydroinformatics: Understanding Changing Climate and Environment and Finding Solutions - Hamburg University of Technology, Hamburg, Germany
    Duration: 14 Jul 201218 Jul 2012
    Conference number: 10
    http://hic2012.de/

    Conference

    Conference10th International Conference on Hydroinformatics
    Number10
    LocationHamburg University of Technology
    Country/TerritoryGermany
    CityHamburg
    Period14/07/201218/07/2012
    Internet address

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