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Application of sequential extraction methods to determine the speciation of Cr-contaminated soils from the New Jersey Meadowlands

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TitleInfo
Title
Application of sequential extraction methods to determine the speciation of Cr-contaminated soils from the New Jersey Meadowlands
Name (type = personal)
NamePart (type = family)
McNamara
NamePart (type = given)
Ashley C.
NamePart (type = date)
1985-
DisplayForm
Ashley C. McNamara
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Elzinga
NamePart (type = given)
Evert J
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Evert J Elzinga
Affiliation
Advisory Committee
Role
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chair
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - Newark
Role
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school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2016
DateOther (qualifier = exact); (type = degree)
2016-05
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2016
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Three sequential extraction methods (SE) were implemented to determine the speciation of Cr in soil samples taken from a Chromite Ore Processing Residue (COPR) dump site located in the New Jersey Meadowlands. The results from the SE methods indicated that Cr was primarily associated with the oxidizable and reducible soil fractions, and that a significant amount of Cr remained un-extracted and was present in the residual soil fraction. The quantitative analysis of the SE data proved to be difficult due to strong differences in the estimates of associated Cr to soil fractions. This is due to the limitations associated with the sequential extraction schemes such as re-adsorption of metals between steps. To avoid the issues in analysis due to the limitations seen in the SE data; it is proposed that a secondary method, such as X-ray Absorption Spectroscopy (XAS), is to be used in conjunction with the SE methods. Here, results from XAS analyses were proven to provide proper constraint to the SE data. The results from the XAS method qualitatively supported the sequential extraction scheme results, but demonstrated that comparisons between the SE and XAS data resulted in poor correlations meaning that direct comparisons is unreliable. Since application of XAS along with sequential extraction schemes is not feasible in many situations, it is suggested to so the suggestion is to design optimized sequential extraction scheme.
Subject (authority = RUETD)
Topic
Environmental Geology
Subject (authority = ETD-LCSH)
Topic
Soils--Heavy metal content--New Jersey--Hackensack Meadowlands--Analysis
Subject (authority = ETD-LCSH)
Topic
Soil pollution
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_7410
PhysicalDescription
Form (authority = gmd)
electronic resource
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application/pdf
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text/xml
Extent
1 online resource (vii, 61 p. : ill.)
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Ashley C. McNamara
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TitleInfo
Title
Graduate School - Newark Electronic Theses and Dissertations
Identifier (type = local)
rucore10002600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3639RZ2
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
McNamara
GivenName
Ashley
MiddleName
C.
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2016-05-15 11:51:40
AssociatedEntity
Name
Ashley McNamara
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - Newark
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
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Copyright protected
Availability
Status
Open
Reason
Permission or license
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2016-05-24T17:33:59
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