Two-dimensional modeling of in situ bioremediation using sequential electron acceptors

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dc.contributor.authorBrauner, J. Stevenen
dc.contributor.committeechairWiddowson, Mark A.en
dc.contributor.committeememberDiplas, Panayiotisen
dc.contributor.committeememberGallagher, Daniel L.en
dc.contributor.departmentCivil Engineeringen
dc.date.accessioned2014-03-14T21:40:48Zen
dc.date.adate2009-07-21en
dc.date.available2014-03-14T21:40:48Zen
dc.date.issued1995-09-05en
dc.date.rdate2009-07-21en
dc.date.sdate2009-07-21en
dc.description.abstractOne of the most promising technologies in groundwater contaminant remediation is the active use of natural microbial activity to reduce aromatic hydrocarbons and other contaminants to simpler, non-toxic compounds. Biological treatment technologies which clean an aquifer without removing aquifer material fall into the broad category of in situ bioremediation, and have the potential to provide cost-effective remediation plans. Mathematical models used to simulate in situ bioremediation must deal with spatial variation in contaminant and electron acceptor concentration, microbial population, and media properties. Research has shown that the use of sequential electron acceptors significantly impacts biodegradation results. Aquifer conditions may switch between primary and secondary electron accepting conditions, further complicating the modeling process. This research examines the two-dimensional, sequential electron acceptor computer model SEAM2D, developed by Widdowson (1992), and extends the SEAM2D model by developing the equations and coding for the newly recognized solid phase, iron(Ill)-based contaminant reduction. Both a sensitivity investigation and field simulations are provided. The sensitivity investigation identifies which input parameters most significantly impact model results (i.e. changes in contaminant mass and concentration). The modeling simulations provide an illustration of model capabilities and documents procedures used in applying SEAM2D to a USGS study site in Laurel Bay, South Carolina. The Laurel Bay site and subsequent model simulations are unique in that the natural, sequential electron acceptor process of oxygen-iron(Ill) reduction is specifically monitored and modeled.en
dc.description.degreeMaster of Scienceen
dc.format.extentxi, 142 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-07212009-040537en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-07212009-040537/en
dc.identifier.urihttp://hdl.handle.net/10919/43810en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1995.B738.pdfen
dc.relation.isformatofOCLC# 34264831en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectgroundwater contaminant remediationen
dc.subject.lccLD5655.V855 1995.B738en
dc.titleTwo-dimensional modeling of in situ bioremediation using sequential electron acceptorsen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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