Abstract
This study investigated the applicability of bulk organic parameters like dissolved organic carbon (DOC), UV absorbance at 254nm (UV254), and total fluorescence (TF) to act as surrogates in predicting trace organic compound (TOrC) removal by granular activated carbon in water reuse applications. Using rapid small-scale column testing, empirical linear correlations for thirteen TOrCs were determined with DOC, UV254, and TF in four wastewater effluents. Linear correlations (R2>0.7) were obtained for eight TOrCs in each water quality in the UV254 model, while ten TOrCs had R2>0.7 in the TF model. Conversely, DOC was shown to be a poor surrogate for TOrC breakthrough prediction. When the data from all four water qualities was combined, good linear correlations were still obtained with TF having higher R2 than UV254 especially for TOrCs with log Dow>1. Excellent linear relationship (R2>0.9) between log Dow and the removal of TOrC at 0% surrogate removal (y-intercept) were obtained for the five neutral TOrCs tested in this study. Positively charged TOrCs had enhanced removals due to electrostatic interactions with negatively charged GAC that caused them to deviate from removals that would be expected with their log Dow. Application of the empirical linear correlation models to full-scale samples provided good results for six of seven TOrCs (except meprobamate) tested when comparing predicted TOrC removal by UV254 and TF with actual removals for GAC in all the five samples tested. Surrogate predictions using UV254 and TF provide valuable tools for rapid or on-line monitoring of GAC performance and can result in cost savings by extended GAC run times as compared to using DOC breakthrough to trigger regeneration or replacement.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 76-87 |
| Number of pages | 12 |
| Journal | Water Research |
| Volume | 76 |
| DOIs | |
| State | Published - Jun 1 2015 |
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Keywords
- Adsorption
- Granular activated carbon
- PFC
- Pharmaceuticals
- Real time monitoring
- Trace organic compounds
ASJC Scopus subject areas
- Water Science and Technology
- Waste Management and Disposal
- Pollution
- Ecological Modeling
Cite this
Predicting trace organic compound breakthrough in granular activated carbon using fluorescence and UV absorbance as surrogates. / Anumol, Tarun; Sgroi, Massimiliano; Park, Minkyu; Roccaro, Paolo; Snyder, Shane A.
In: Water Research, Vol. 76, 01.06.2015, p. 76-87.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Predicting trace organic compound breakthrough in granular activated carbon using fluorescence and UV absorbance as surrogates
AU - Anumol, Tarun
AU - Sgroi, Massimiliano
AU - Park, Minkyu
AU - Roccaro, Paolo
AU - Snyder, Shane A
PY - 2015/6/1
Y1 - 2015/6/1
N2 - This study investigated the applicability of bulk organic parameters like dissolved organic carbon (DOC), UV absorbance at 254nm (UV254), and total fluorescence (TF) to act as surrogates in predicting trace organic compound (TOrC) removal by granular activated carbon in water reuse applications. Using rapid small-scale column testing, empirical linear correlations for thirteen TOrCs were determined with DOC, UV254, and TF in four wastewater effluents. Linear correlations (R2>0.7) were obtained for eight TOrCs in each water quality in the UV254 model, while ten TOrCs had R2>0.7 in the TF model. Conversely, DOC was shown to be a poor surrogate for TOrC breakthrough prediction. When the data from all four water qualities was combined, good linear correlations were still obtained with TF having higher R2 than UV254 especially for TOrCs with log Dow>1. Excellent linear relationship (R2>0.9) between log Dow and the removal of TOrC at 0% surrogate removal (y-intercept) were obtained for the five neutral TOrCs tested in this study. Positively charged TOrCs had enhanced removals due to electrostatic interactions with negatively charged GAC that caused them to deviate from removals that would be expected with their log Dow. Application of the empirical linear correlation models to full-scale samples provided good results for six of seven TOrCs (except meprobamate) tested when comparing predicted TOrC removal by UV254 and TF with actual removals for GAC in all the five samples tested. Surrogate predictions using UV254 and TF provide valuable tools for rapid or on-line monitoring of GAC performance and can result in cost savings by extended GAC run times as compared to using DOC breakthrough to trigger regeneration or replacement.
AB - This study investigated the applicability of bulk organic parameters like dissolved organic carbon (DOC), UV absorbance at 254nm (UV254), and total fluorescence (TF) to act as surrogates in predicting trace organic compound (TOrC) removal by granular activated carbon in water reuse applications. Using rapid small-scale column testing, empirical linear correlations for thirteen TOrCs were determined with DOC, UV254, and TF in four wastewater effluents. Linear correlations (R2>0.7) were obtained for eight TOrCs in each water quality in the UV254 model, while ten TOrCs had R2>0.7 in the TF model. Conversely, DOC was shown to be a poor surrogate for TOrC breakthrough prediction. When the data from all four water qualities was combined, good linear correlations were still obtained with TF having higher R2 than UV254 especially for TOrCs with log Dow>1. Excellent linear relationship (R2>0.9) between log Dow and the removal of TOrC at 0% surrogate removal (y-intercept) were obtained for the five neutral TOrCs tested in this study. Positively charged TOrCs had enhanced removals due to electrostatic interactions with negatively charged GAC that caused them to deviate from removals that would be expected with their log Dow. Application of the empirical linear correlation models to full-scale samples provided good results for six of seven TOrCs (except meprobamate) tested when comparing predicted TOrC removal by UV254 and TF with actual removals for GAC in all the five samples tested. Surrogate predictions using UV254 and TF provide valuable tools for rapid or on-line monitoring of GAC performance and can result in cost savings by extended GAC run times as compared to using DOC breakthrough to trigger regeneration or replacement.
KW - Adsorption
KW - Granular activated carbon
KW - PFC
KW - Pharmaceuticals
KW - Real time monitoring
KW - Trace organic compounds
UR - http://www.scopus.com/inward/record.url?scp=84925002448&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84925002448&partnerID=8YFLogxK
U2 - 10.1016/j.watres.2015.02.019
DO - 10.1016/j.watres.2015.02.019
M3 - Article
C2 - 25792436
AN - SCOPUS:84925002448
VL - 76
SP - 76
EP - 87
JO - Water Research
JF - Water Research
SN - 0043-1354
ER -