Predicting trace organic compound attenuation by ozone oxidation: Development of indicator and surrogate models

Minkyu Park, Tarun Anumol, Kevin D. Daniels, Shimin Wu, Austin D. Ziska, Shane A. Snyder

Research output: Contribution to journalArticlepeer-review

60 Scopus citations


Ozone oxidation has been demonstrated to be an effective treatment process for the attenuation of trace organic compounds (TOrCs); however, predicting TOrC attenuation by ozone processes is challenging in wastewaters. Since ozone is rapidly consumed, determining the exposure times of ozone and hydroxyl radical proves to be difficult. As direct potable reuse schemes continue to gain traction, there is an increasing need for the development of real-time monitoring strategies for TOrC abatement in ozone oxidation processes. Hence, this study is primarily aimed at developing indicator and surrogate models for the prediction of TOrC attenuation by ozone oxidation. To this end, the second-order kinetic equations with a second-phase Rct value (ratio of hydroxyl radical exposure to molecular ozone exposure) were used to calculate comparative kinetics of TOrC attenuation and the reduction of indicator and spectroscopic surrogate parameters, including UV absorbance at 254 nm (UVA254) and total fluorescence (TF). The developed indicator model using meprobamate as an indicator compound and the surrogate models with UVA254 and TF exhibited good predictive power for the attenuation of 13 kinetically distinct TOrCs in five filtered and unfiltered wastewater effluents (R2 values > 0.8). This study is intended to help provide a guideline for the implementation of indicator/surrogate models for real-time monitoring of TOrC abatement with ozone processes and integrate them into a regulatory framework in water reuse.

Original languageEnglish (US)
Pages (from-to)21-32
Number of pages12
JournalWater research
StatePublished - 2017


  • Indicator
  • Kinetics
  • Micropollutant
  • Ozone
  • Surrogate

ASJC Scopus subject areas

  • Ecological Modeling
  • Water Science and Technology
  • Waste Management and Disposal
  • Pollution


Dive into the research topics of 'Predicting trace organic compound attenuation by ozone oxidation: Development of indicator and surrogate models'. Together they form a unique fingerprint.

Cite this