• DocumentCode
    3248632
  • Title

    Development and validation of online surrogate parameters for water quality monitoring at a conventional water treatment plant using a UV absorbance spectrolyser

  • Author

    Byrne, Amanda J. ; Chow, Christopher ; Trolio, Rino ; Lethorn, Arron ; Lucas, Jeremy ; Korshin, Gregory V.

  • Author_Institution
    Australian Water Quality Centre, SA Water, Adelaide, SA, Australia
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    200
  • Lastpage
    204
  • Abstract
    Absorbance data collected from an online UV absorbance spectrophotometer installed for water quality monitoring at a conventional drinking water treatment plant was used to develop surrogate parameters for treatment process monitoring and optimisation. Surrogate parameters were developed via data analysis of collected online data as well as by targeted selection from previous research knowledge. These parameters were validated in the field using the same online spectrophotometer to gauge their response to events caused by operational changes, such as high chlorine demand and changes in natural organic matter (NOM). Almost all parameters generated responses comparable to the commonly used process assessment UV online parameter, absorbance at 254 nm. Some parameters, such as the derivative of absorbance at 290 nm and the second derivative of absorbance at 310 nm, generated responses far exceeding the standard monitoring parameter, making them potentially useful tools for control of operational treatment processes. It is hoped that in future, these and other novel UV absorbance parameters can be monitored simultaneously to reflect water quality change to further the application of this technology in optimisation of water treatment.
  • Keywords
    recorders; spectrochemical analysis; spectrophotometers; ultraviolet spectroscopy; water quality; water treatment; UV absorbance spectrolyser; UV absorbance spectrophotometer; absorbance data; drinking water treatment plant; high chlorine demand; natural organic matter; online surrogate parameter; water quality monitoring; water treatment optimisation; wavelength 290 nm; wavelength 310 nm; Australia; Correlation; Filtration; Instruments; Monitoring; Process control; Water;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2011 Seventh International Conference on
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    978-1-4577-0675-2
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2011.6146515
  • Filename
    6146515