TY - JOUR
T1 - Evaluation of the relationship between bulk organic precursors and disinfection byproduct formation for advanced oxidation processes
AU - Mayer, Brooke K.
AU - Daugherty, Erin
AU - Abbaszadegan, Morteza
N1 - Funding Information:
This research was supported by the National Science Foundation Water & Environmental Technology Center at Arizona State University and the Arizona Water Institute. All opinions expressed in this paper are the authors’ and do not necessarily reflect the policies and views of others. The authors gratefully acknowledge the laboratory assistance and insight provided by Paul Westerhoff and Chao-An Chin from Arizona State University. Thanks are also extended to City of Scottsdale personnel including Susan Butler, Laura McCasland, Kathy Gettens, Carie Wilson, Binga Talabi, and Don Henderson. Finally, we would like to thank Tony Powell of Purifics for his support of the project and use of the Photo-Cat® Lab reactor.
Publisher Copyright:
© 2014 Elsevier Ltd.
PY - 2015/2/1
Y1 - 2015/2/1
N2 - Advanced oxidation processes (AOPs) are gaining traction as they offer mineralization potential rather than transferring contaminants between media. However, AOPs operated with limited energy and/or chemical inputs can exacerbate disinfection byproduct (DBP) formation, even as precursors such as dissolved organic carbon, UV254, and specific UV absorbance (SUVA) decrease. This study examined the relationship between DBP precursors and formation using TiO2 photocatalysis experiments, external AOP and non-AOP data, and predictive DBP models. The top-performing indicator, SUVA, generally correlated positively with trihalomethanes and haloacetic acids, but limited-energy photocatalysis yielded contrasting negative correlations. The accuracy of predicted DBP values from models based on bulk parameters was generally poor, regardless of use and extent of AOP treatment and type of source water. Though performance improved for scenarios bounded by conditions used in model development, only 0.5% of the model/dataset pairings satisfied all measured parameter boundary conditions, thereby introducing skepticism toward model usefulness. Study findings suggest that caution should be employed when using bulk indicators and/or models as a metric for AOP mitigation of DBP formation potential, particularly for limited-energy/chemical inputs.
AB - Advanced oxidation processes (AOPs) are gaining traction as they offer mineralization potential rather than transferring contaminants between media. However, AOPs operated with limited energy and/or chemical inputs can exacerbate disinfection byproduct (DBP) formation, even as precursors such as dissolved organic carbon, UV254, and specific UV absorbance (SUVA) decrease. This study examined the relationship between DBP precursors and formation using TiO2 photocatalysis experiments, external AOP and non-AOP data, and predictive DBP models. The top-performing indicator, SUVA, generally correlated positively with trihalomethanes and haloacetic acids, but limited-energy photocatalysis yielded contrasting negative correlations. The accuracy of predicted DBP values from models based on bulk parameters was generally poor, regardless of use and extent of AOP treatment and type of source water. Though performance improved for scenarios bounded by conditions used in model development, only 0.5% of the model/dataset pairings satisfied all measured parameter boundary conditions, thereby introducing skepticism toward model usefulness. Study findings suggest that caution should be employed when using bulk indicators and/or models as a metric for AOP mitigation of DBP formation potential, particularly for limited-energy/chemical inputs.
KW - Advanced oxidation
KW - Disinfection byproduct
KW - Haloacetic acid
KW - Model
KW - Titanium dioxide photocatalysis
KW - Trihalomethane
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U2 - 10.1016/j.chemosphere.2014.10.070
DO - 10.1016/j.chemosphere.2014.10.070
M3 - Article
C2 - 25433979
AN - SCOPUS:84921953687
SN - 0045-6535
VL - 121
SP - 39
EP - 46
JO - Chemosphere
JF - Chemosphere
ER -