Predicting longevity of iron permeable reactive barriers using multiple iron deactivation models

In this study we investigate the model uncertainties involved in predicting long-term permeable reactive barrier (PRB) remediation efficiency based on a lab-scale column experiment under accelerated flow conditions. A PRB consisting of 20% iron and 80% sand was simulated in a laboratory-scale column...

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Veröffentlicht in:Journal of contaminant hydrology 2012-11, Vol.142-143, p.93-108
Hauptverfasser: Carniato, L., Schoups, G., Seuntjens, P., Van Nooten, T., Simons, Q., Bastiaens, L.
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container_end_page 108
container_issue
container_start_page 93
container_title Journal of contaminant hydrology
container_volume 142-143
creator Carniato, L.
Schoups, G.
Seuntjens, P.
Van Nooten, T.
Simons, Q.
Bastiaens, L.
description In this study we investigate the model uncertainties involved in predicting long-term permeable reactive barrier (PRB) remediation efficiency based on a lab-scale column experiment under accelerated flow conditions. A PRB consisting of 20% iron and 80% sand was simulated in a laboratory-scale column and contaminated groundwater was pumped into the column for approximately 1year at an average groundwater velocity of 3.7E−1m d−1. Dissolved contaminants (PCE, TCE, cis-DCE, trans-DCE and VC) and inorganic (Ca2+, Fe2+, TIC and pH) concentrations were measured in groundwater sampled at different times and at eight different distances along the column. These measurements were used to calibrate a multi-component reactive transport model, which subsequently provided predictions of long-term PRB efficiency under reduced flow conditions (i.e., groundwater velocity of 1.4E−3m d−1), representative of a field site of interest in this study. Iron reactive surface reduction due to mineral precipitation and iron dissolution was simulated using four different models. All models were able to reasonably well reproduce the column experiment measurements, whereas the extrapolated long-term efficiency under different flow rates was significantly different between the different models. These results highlight significant model uncertainties associated with extrapolating long-term PRB performance based on lab-scale column experiments. These uncertainties should be accounted for at the PRB design phase, and may be reduced by independent experiments and field observations aimed at a better understanding of reactive surface deactivation mechanisms in iron PRBs. [Display omitted] ► We performed a 1year long column experiment of a real iron barrier installation. ► We collected the concentrations of contaminants and inorganics along the column. ► Four different iron deactivation models were calibrated on the column data. ► Little differences among the models were found in the column experiment simulation. ► Major differences were found in the long-term performance extrapolation.
doi_str_mv 10.1016/j.jconhyd.2012.08.012
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A PRB consisting of 20% iron and 80% sand was simulated in a laboratory-scale column and contaminated groundwater was pumped into the column for approximately 1year at an average groundwater velocity of 3.7E−1m d−1. Dissolved contaminants (PCE, TCE, cis-DCE, trans-DCE and VC) and inorganic (Ca2+, Fe2+, TIC and pH) concentrations were measured in groundwater sampled at different times and at eight different distances along the column. These measurements were used to calibrate a multi-component reactive transport model, which subsequently provided predictions of long-term PRB efficiency under reduced flow conditions (i.e., groundwater velocity of 1.4E−3m d−1), representative of a field site of interest in this study. Iron reactive surface reduction due to mineral precipitation and iron dissolution was simulated using four different models. 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All models were able to reasonably well reproduce the column experiment measurements, whereas the extrapolated long-term efficiency under different flow rates was significantly different between the different models. These results highlight significant model uncertainties associated with extrapolating long-term PRB performance based on lab-scale column experiments. These uncertainties should be accounted for at the PRB design phase, and may be reduced by independent experiments and field observations aimed at a better understanding of reactive surface deactivation mechanisms in iron PRBs. 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subjects Column experiment
Iron
Iron - chemistry
Long-term performance
Permeable reactive barriers
Reactive transport
Water Pollutants, Chemical - chemistry
Water Purification - methods
title Predicting longevity of iron permeable reactive barriers using multiple iron deactivation models
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