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

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearchpeer-review

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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
CountryFrance
CityLyon
Period28/06/201601/07/2016

Keywords

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

Cite this

Sandoval, S., Vezzaro, L., & Bertrand-Krajewski, J-L. (2016). Gap-filling of dry weather flow rate and water quality measurements in urban catchments by a time series modelling approach. In Proceedings of 9th International Conference on Planning and Technologies for Sustainable Urban Water Management Lyon, France.
Sandoval, Santiago ; Vezzaro, Luca ; Bertrand-Krajewski, Jean-Luc. / Gap-filling of dry weather flow rate and water quality measurements in urban catchments by a time series modelling approach. Proceedings of 9th International Conference on Planning and Technologies for Sustainable Urban Water Management. Lyon, France, 2016.
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Sandoval, S, Vezzaro, L & Bertrand-Krajewski, J-L 2016, Gap-filling of dry weather flow rate and water quality measurements in urban catchments by a time series modelling approach. in Proceedings of 9th International Conference on Planning and Technologies for Sustainable Urban Water Management. Lyon, France, 9th International Conference on Planning and Technologies for Sustainable Urban Water Management (NOVATECH), Lyon, France, 28/06/2016.

Gap-filling of dry weather flow rate and water quality measurements in urban catchments by a time series modelling approach. / Sandoval, Santiago; Vezzaro, Luca; Bertrand-Krajewski, Jean-Luc.

Proceedings of 9th International Conference on Planning and Technologies for Sustainable Urban Water Management. Lyon, France, 2016.

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearchpeer-review

TY - ABST

T1 - Gap-filling of dry weather flow rate and water quality measurements in urban catchments by a time series modelling approach

AU - Sandoval, Santiago

AU - Vezzaro, Luca

AU - Bertrand-Krajewski, Jean-Luc

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Data validation

KW - Dry weather

KW - Gap filling

KW - Metrology

KW - Online monitoring

KW - Time series

M3 - Conference abstract in proceedings

BT - Proceedings of 9th International Conference on Planning and Technologies for Sustainable Urban Water Management

CY - Lyon, France

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Sandoval S, Vezzaro L, Bertrand-Krajewski J-L. Gap-filling of dry weather flow rate and water quality measurements in urban catchments by a time series modelling approach. In Proceedings of 9th International Conference on Planning and Technologies for Sustainable Urban Water Management. Lyon, France. 2016