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Using positive matrix factorization to investigate microbial dechlorination of contaminants in groundwater
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Capozzi, Staci L.. Using positive matrix factorization to investigate microbial dechlorination of contaminants in groundwater. Retrieved from https://doi.org/doi:10.7282/T3C53P4F

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TitleUsing positive matrix factorization to investigate microbial dechlorination of contaminants in groundwater
NameCapozzi, Staci L. (author); Rodenburg, Lisa A. (chair); Fennell, Donna E. (internal member); Krumins, Valdis (internal member); Mack, Elizabeth Erin (outside member); Rutgers University; Graduate School - New Brunswick
Date Created2016
Other Date2016-10 (degree)
SubjectEnvironmental Sciences, Groundwater--Pollution, Water--Purification
Extent1 online resource (xv, 209 p. : ill.)
DescriptionMonitoring data regarding aqueous groundwater concentrations of chlorinated benzenes, chlorinated ethenes and halomethanes as well as ancillary parameters (such as geochemical, nutrient and field data) have been collected from various wells at the Chambers Works site for over two decades. In effort to make use of this investment we applied a sophisticated statistical analysis to the data to elucidate evidence of potential degradation processes that these chemicals may undergo in the subsurface. Halogenated organic compounds are subject to various chemical, physical and biological forces and can undergo chemical reactions and transformations. Positive matrix factorization (PMF) was applied to the monitoring data onsite and has proven useful in characterizing different locations and revealing microbial degradation processes resulting, in distinct fingerprints for each organohalide family explored in this work. PMF resolved three factors in the chlorinated benzenes (Chapter 2), chlorinated ethenes (Chapter 3), and halomethanes (Chapter 4) groundwater datasets. In Chapter 2, for the chlorinated benzene dataset, one factor represents a source of 1,2-dichlorobenzene and the other two factors represent dechlorination, where one factor represents a more advanced dechlorination regime than the other. In Chapter 3, for the chlorinated ethenes dataset, one factor represents a source of tetrachloroethene and trichloroethene. Of the three resolved factors in the chloroethenes dataset, two factors represent stages of dechlorination in which one factor represents a more advanced dechlorination regime than the next. Finally, in Chapter 4, PMF resolved three factors in the halomethane dataset where two factors represent sources of carbon tetrachloride and chloroform and one factor represents dechlorination.
NotePh.D.
NoteIncludes bibliographical references
Noteby Staci L. Capozzi
Genretheses, ETD doctoral
Persistent URLhttps://doi.org/doi:10.7282/T3C53P4F
Languageeng
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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