Gap-filling of dry weather flow rate and water quality measurements in urban catchments by a time series modelling approach

Santiago Sandoval, Luca Vezzaro, Jean-Luc Bertrand-Krajewski

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    Abstract

    Flow rate and water quality dry weather time series in combined sewer systems might contain an important amount of missing data due to several reasons, such as failures related to the operation of the sensor or additional contributions during rainfall events. Therefore, the approach hereby proposed seeks to evaluate the potential of the Singular Spectrum Analysis (SSA), a time-series modelling/gap-filling method, to complete dry weather time series. The SSA method is tested by reconstructing 1000 artificial discontinuous time series, randomly generated from real flow rate and total suspended solids (TSS) online measurements (year 2007, 2 minutes time-step, combined system, Ecully, Lyon, France). Results show up the potential of the method to fill gaps longer than 0.5 days, especially between 0.5 days and 1 day (mean NSE > 0.6) in the flow rate time series. TSS results still perform very poorly. Further analysis at different temporal scales might be needed.
    Original languageEnglish
    Title of host publicationProceedings of 9th International Conference on Planning and Technologies for Sustainable Urban Water Management
    Number of pages4
    Place of PublicationLyon, France
    Publication date2016
    Publication statusPublished - 2016
    Event9th International Conference on Planning and Technologies for Sustainable Urban Water Management (NOVATECH) - Lyon, France
    Duration: 28 Jun 20161 Jul 2016
    Conference number: 9

    Conference

    Conference9th International Conference on Planning and Technologies for Sustainable Urban Water Management (NOVATECH)
    Number9
    Country/TerritoryFrance
    CityLyon
    Period28/06/201601/07/2016

    Keywords

    • Data validation
    • Dry weather
    • Gap filling
    • Metrology
    • Online monitoring
    • Time series

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