Literature DB >> 18420303

Laboratory investigation of flux reduction from dense non-aqueous phase liquid (DNAPL) partial source zone remediation by enhanced dissolution.

Andrew J Kaye1, Jaehyun Cho, Nandita B Basu, Xiaosong Chen, Michael D Annable, James W Jawitz.   

Abstract

This study investigated the benefits of partial removal of dense nonaqueous phase liquid (DNAPL) source zones using enhanced dissolution in eight laboratory scale experiments. The benefits were assessed by characterizing the relationship between reductions in DNAPL mass and the corresponding reduction in contaminant mass flux. Four flushing agents were evaluated in eight controlled laboratory experiments to examine the effects of displacement fluid property contrasts and associated override and underride on contaminant flux reduction (R(j)) vs. mass reduction (R(m)) relationships (R(j)(R(m))): 1) 50% ethanol/50% water (less dense than water), 2) 40% ethyl-lactate/60% water (more dense than water), 3) 18% ethanol/26% ethyl-lactate/56% water (neutrally buoyant), and 4) 2% Tween-80 surfactant (also neutrally buoyant). For each DNAPL architecture evaluated, replicate experiments were conducted where source zone dissolution was conducted with a single flushing event to remove most of the DNAPL from the system, and with multiple shorter-duration floods to determine the path of the R(j)(R(m)) relationship. All of the single-flushing experiments exhibited similar R(j)(R(m)) relationships indicating that override and underride effects associated with cosolvents did not significantly affect the remediation performance of the agents. The R(j)(R(m)) relationship of the multiple injection experiments for the cosolvents with a density contrast with water tended to be less desirable in the sense that there was less R(j) for a given R(m). UTCHEM simulations supported the observations from the laboratory experiments and demonstrated the capability of this model to predict R(j)(R(m)) relationships for non-uniformly distributed NAPL sources.

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Year:  2008        PMID: 18420303     DOI: 10.1016/j.jconhyd.2008.01.006

Source DB:  PubMed          Journal:  J Contam Hydrol        ISSN: 0169-7722            Impact factor:   3.188


  7 in total

1.  Impact of enhanced-flushing reagents and organic-liquid distribution on mass removal and mass-discharge reduction.

Authors:  Nihat Hakan Akyol; Ann Russo Lee; Mark L Brusseau
Journal:  Water Air Soil Pollut       Date:  2013-10-01       Impact factor: 2.520

2.  Impact of organic-liquid distribution and flow-field heterogeneity on reductions in mass flux.

Authors:  Erica L DiFilippo; Kenneth C Carroll; Mark L Brusseau
Journal:  J Contam Hydrol       Date:  2010-04-01       Impact factor: 3.188

3.  The impact of well-field configuration and permeability heterogeneity on contaminant mass removal and plume persistence.

Authors:  Zhilin Guo; Mark L Brusseau
Journal:  J Hazard Mater       Date:  2017-03-08       Impact factor: 10.588

4.  Mathematical modeling of organic liquid dissolution in heterogeneous source zones.

Authors:  Zhilin Guo; Ann E Russo; Erica L DiFilippo; Zhihui Zhang; Chunmiao Zheng; Mark L Brusseau
Journal:  J Contam Hydrol       Date:  2020-09-17       Impact factor: 3.188

5.  Assessment of a simple function to evaluate the relationship between mass flux reduction and mass removal for organic-liquid contaminated source zones.

Authors:  Erica L DiFilippo; Mark L Brusseau
Journal:  J Contam Hydrol       Date:  2011-01-01       Impact factor: 3.188

6.  The Impact of Well-Field Configuration on Contaminant Mass Removal and Plume Persistence for Homogeneous versus Layered Systems.

Authors:  Zhilin Guo; Mark L Brusseau
Journal:  Hydrol Process       Date:  2017-11-07       Impact factor: 3.565

7.  Characterizing long-term contaminant mass discharge and the relationship between reductions in discharge and reductions in mass for DNAPL source areas.

Authors:  M L Brusseau; D E Matthieu; K C Carroll; J Mainhagu; C Morrison; A McMillan; A Russo; M Plaschke
Journal:  J Contam Hydrol       Date:  2013-03-05       Impact factor: 3.188

  7 in total

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