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Chlorinated Solvent Source-Zone Remediation via ZVI-Clay Soil Mixing: 1-Year Results.

Authors :
Olson, Mitchell R.
Sale, Thomas C.
Shackelford, Charles D.
Bozzini, Christopher
Skeean, Jessica
Source :
Ground Water Monitoring & Remediation; Aug2012, Vol. 32 Issue 3, p63-74, 11p
Publication Year :
2012

Abstract

ZVI-Clay is an emerging remediation approach that combines zero-valent iron (ZVI)-mediated degradation and in situ stabilization of chlorinated solvents. Through use of in situ soil mixing to deliver reagents, reagent-contaminant contact issues associated with natural subsurface heterogeneity are overcome. This article describes implementation, treatment performance, and reaction kinetics during the first year after application of the ZVI-Clay remediation approach at Marine Corps Base Camp Lejeune, North Carolina. Primary contaminants included trichloroethylene, 1,1,2,2-tetrachloroethane, and related natural degradation products. For the field application, 22,900 m<superscript>3</superscript> of soils were treated to an average depth of 7.6 m with 2% ZVI and 3% sodium bentonite (dry weight basis). Performance monitoring included analysis of soil and water samples. After 1 year, total concentrations of chlorinated volatile organic compounds (CVOCs) in soil samples were decreased by site-wide average and median values of 97% and >99%, respectively. Total CVOC concentrations in groundwater were reduced by average and median values of 81% and >99%, respectively. In several of the soil and groundwater monitoring locations, reductions in total CVOC concentrations of greater than 99.9% were apparent. Further reduction in concentrations of chlorinated solvents is expected with time. Pre- and post-mixing average hydraulic conductivity values were 1.7 × 10<superscript>−5</superscript> and 5.2 × 10<superscript>−8</superscript> m/s, respectively, indicating a reduction of about 2.5 orders of magnitude. By achieving simultaneous contaminant mass depletion and hydraulic conductivity reduction, contaminant flux reductions of several orders of magnitude are predicted. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10693629
Volume :
32
Issue :
3
Database :
Complementary Index
Journal :
Ground Water Monitoring & Remediation
Publication Type :
Academic Journal
Accession number :
78334138
Full Text :
https://doi.org/10.1111/j.1745-6592.2011.01391.x