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Stochastic approach for fine sediment erosion prediction

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TitleInfo
Title
Stochastic approach for fine sediment erosion prediction
Name (type = personal)
NamePart (type = family)
Behzadnejad
NamePart (type = given)
Faezeh
NamePart (type = date)
1986-
DisplayForm
Faezeh Behzadnejad
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Maher
NamePart (type = given)
Ali
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Ali Maher
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Advisory Committee
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RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Gucunski
NamePart (type = given)
Nenad
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Nenad Gucunski
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Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Williams
NamePart (type = given)
Trefor
DisplayForm
Trefor Williams
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Jafari
NamePart (type = given)
Mohsen
DisplayForm
Mohsen Jafari
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (encoding = w3cdtf); (qualifier = exact)
2015
DateOther (qualifier = exact); (type = degree)
2015-10
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2015
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
This study aimed to characterize the erosion behavior of cohesive sediments in the Newark Bay, at flow velocities below 1 m/s based on their index properties. The experimental methodology and data interpretation scheme of this research were devised based on the critical analysis of previous literature and aimed to reduce uncertainty, subjectivity, and arbitrariness. A comparison of erosion measurements obtained in this study with the results of some in-situ experiments conducted by other researchers revealed a strong consistency between these studies. The fact that this ex-situ study has been as successful as in-situ studies is quite an achievement. The success of the devised experimental methodology was also highlighted when the results were compared to similar ex-situ studies because the range of erosion rates measured in this study was well beyond the capability of those methods. This research contributes to the literature on cohesive sediment erosion by offering new insights into three primary areas: regression, stochastic, and probabilistic analysis of erosion test results. First, this study employed the regression technique to obtain the best linear unbiased estimator of erosion rates based on sediment index properties. The analysis resulted in the development of two fairly valid models for both fine- and coarse-grained sediments of the Newark Bay: (1) Newark Bay Fine Model (NBFM) and (2) Newark Bay Coarse Model (NBCM). These models were evaluated through cross-validation and cross-model comparison, as well as validation against a new dataset. Second, a new methodology was developed for a stochastic analysis of erosion data by applying the Monte Carlo simulation technique. To the best of the author’s knowledge, this technique had not been previously used in sediment erosion studies. This robust stochastic method enabled the researcher to investigate erosion over many artificially generated samples, in lieu of measured data, and make more realistic predictions. The confidence interval provided by stochastic simulations has a significant application in sediment erosion risk analysis. Third, the framework developed for the probabilistic analysis of erosion data offers a standardized methodology for data analysis that paves the way for the comparison of different studies that use inconsistent methodologies.
Subject (authority = RUETD)
Topic
Civil and Environmental Engineering
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_6819
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xxvi, 290 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = ETD-LCSH)
Topic
Cohesive sediments
Subject (authority = ETD-LCSH)
Topic
Sediments (Geology)
Subject (authority = ETD-LCSH)
Topic
Erosion
Note (type = statement of responsibility)
by Faezeh Behzadnejad
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3Q81G10
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Behzadnejad
GivenName
Faezeh
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2015-09-29 13:10:22
AssociatedEntity
Name
Faezeh Behzadnejad
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
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
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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ETD
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windows xp
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