2018
DOI: 10.1016/j.jconhyd.2018.02.001
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Monitoring well utility in a heterogeneous DNAPL source zone area: Insights from proximal multilevel sampler wells and sampling capture-zone modelling

Abstract: This version is available at https://strathprints.strath.ac.uk/63641/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any pro… Show more

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Cited by 12 publications
(6 citation statements)
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“…Conversely, situations where available MD data is uncertain with respect to source depletion trends, upscaled, dual‐domain models with explicit mass transfer parameters constrained by direct site characterization, provide a viable alternative to estimate source zone depletion behavior (Stewart et al., 2022). Furthermore, sites where natural attenuation mechanisms are significant may benefit from several monitoring transects along the flow direction, differentiating attenuation capacity from NAPL dissolution rates for decision‐support modeling (McMillan et al., 2018; Rivett et al., 2014).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Conversely, situations where available MD data is uncertain with respect to source depletion trends, upscaled, dual‐domain models with explicit mass transfer parameters constrained by direct site characterization, provide a viable alternative to estimate source zone depletion behavior (Stewart et al., 2022). Furthermore, sites where natural attenuation mechanisms are significant may benefit from several monitoring transects along the flow direction, differentiating attenuation capacity from NAPL dissolution rates for decision‐support modeling (McMillan et al., 2018; Rivett et al., 2014).…”
Section: Resultsmentioning
confidence: 99%
“…Numerical models with parsimoniously parameterized source zones have proved useful for characterizing NAPL architecture and/or lumped‐process mass transfer coefficients (Marble et al., 2008; Mobile et al., 2012; Saenton & Illangasekare, 2004). Moreover, combining multilevel monitoring with recovery rates of contaminant mass (or with conventional monitoring wells) can be valuable for characterizing heterogeneous NAPL architectures, as spatially varying contaminant fluxes may be mapped to soil horizons harboring NAPL mass within a source zone (McMillan et al., 2018). Several studies have incorporated Gilland‐Sherwood or upscaled mass transfer functions in discretized NAPL zones or in dual‐domain models to estimate grid‐scale parameters from multilevel monitoring data and/or mass discharge/flux measurements (Christ et al., 2006; Falta, 2003; Frind et al., 1999; Guo et al., 2020; Mobile et al., 2012; Park & Parker, 2005; Saenton & Illangasekare, 2004).…”
Section: Introductionmentioning
confidence: 99%
“…Description: A new or existing well is needed that is screened over a long interval(s) in the regional a Passive multi-level sampling surveys have been previously shown to be effective for measuring depthdiscrete geochemical and microbial patterns (Baldwin et al, 2008, Lasagna et al, 2016, McMillan et al, 2018. A detailed description of the multilevel sampler (MLS) is described in Baldwin and others (2008).…”
Section: Focus Area(s): Identify Depth Zones Of Chromate Transportmentioning
confidence: 99%
“…These petrochemical developments have provided more convenience for human beings and are a continually motivating force for our societal economy. However, these factories and facilities have become great potential sources of groundwater contamination and have caused serious damage to the subsurface environment [6,7,11,[13][14][15][16][17][18][19][20]. When dense non-aqueous liquids (DNAPLs) are released into aquifers, groundwater resources are seriously contaminated [21,22].…”
Section: Introductionmentioning
confidence: 99%