Validating data quality during wet weather monitoring of wastewater treatment plant influents

Janelcy Alferes, Anders Lynggaard-Jensen, Thomas Munk-Nielsen, Sovanna Tik, Luca Vezzaro, Anitha Kumari Sharma, Peter Steen Mikkelsen, Peter A. Vanrolleghem

Research output: Contribution to conferencePaperResearchpeer-review

Abstract

Efficient monitoring of water systems and proper use of the collected data in further applications such as modelling, forecasting influent water quality and real-time control depends on careful data quality control. Given the size of the data sets produced nowadays in online water quality monitoring schemes, automated data validation is the only feasible option. In this paper, software tools for automatic data quality assessment with a practical orientation are presented. The developments from three organizations ranging from simple to more complex methods for automated data validation are described and evaluated for water quality measurements collected at the inlet of wastewater treatment plants, where probably the hardest measurement conditions are found. The objective of this collaborative effort is to come up with better tools and improved approaches for implementing a successful automatic data quality control procedure.
Original languageEnglish
Publication date2013
Number of pages14
Publication statusPublished - 2013
Event86th Annual Water Environment Federation Technical Exhibition and Conference (WEFTEC 2013) - Chicago, United States
Duration: 5 Oct 20139 Oct 2013
Conference number: 86

Conference

Conference86th Annual Water Environment Federation Technical Exhibition and Conference (WEFTEC 2013)
Number86
CountryUnited States
CityChicago
Period05/10/201309/10/2013

Keywords

  • Fault detection
  • Filtering
  • On-line monitoring
  • Outlier detection
  • Sensors

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