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Spatial and temporal trends of organic and elemental carbon as a component of PM2.5 within the New York metropolitan area
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Descriptive

TitleInfo
Title
Spatial and temporal trends of organic and elemental carbon as a component of PM2.5 within the New York metropolitan area
Name (type = personal)
NamePart (type = family)
Kurian
NamePart (type = given)
Steven
DisplayForm
Steven Kurian
Role
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author
Name (type = personal)
NamePart (type = family)
Mazurek
NamePart (type = given)
Monica
Affiliation
Advisory Committee
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Monica A Mazurek
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Guo
NamePart (type = given)
Quizhong
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Advisory Committee
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Quizhong Guo
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internal member
Name (type = personal)
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Totten
NamePart (type = given)
Lisa
Affiliation
Advisory Committee
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Lisa Totten
Role
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outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
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Graduate School-New Brunswick
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school
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Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2007
DateOther (qualifier = exact); (type = degree)
2007
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
PhysicalDescription
Form (authority = marcform)
electronic
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application/pdf
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text/xml
Extent
vi, 89 pages
Abstract (type = abstract)
The goal of the project is to identify the spatial and seasonal patterns of Organic Carbon (OC), Elemental Carbon (EC) and fine particle mass (PM2.5 ) in the NY City metropolitan area. This information is needed to assist with the development of State Implementation Plans (SIPs) for the control of fine particles in the NY City tri-state area and Mid-Atlantic Region, in order to meet EPA air quality standards. This study investigates the carbonaceous fraction of PM2.5 in the NY City metropolitan area over an annual cycle from May 2002 to May 2003 to provide detailed analyses of the OC and EC carbon components and insights into their possible sources. Two sampling networks, the Speciation of Organics for Apportionment of PM2.5 (SOAP) and the Speciation Trends Network (STN) provided separate measurements of OC and EC. It was found through linear regression analysis that the SOAP network sampling equipment measured OC and EC ambient mass concentrations values consistently lower than the STN EC and OC concentrations were compared between a heavily trafficked site, such as Elizabeth, NJ (NJ Turnpike, Toll Plaza 13), and a rural background site, Chester, NJ. Urban Queens, NY and suburban Westport, CT locations also were monitored as intermediate traffic sites with high to moderate population density. Time series data showed that all sites showed an OC and EC peak during the winter, while the Chester, NJ site had a peak of OC in the summer. The Chester site also had a high peak of the OC/EC ratio in the summer as well. From this, it was determined that motor vehicle traffic, a primary source of PM2.5, EC and OC mass was found to dominate at the Elizabeth, NJ site, whereas at the rural low traffic Chester, NJ site, secondary OC mass showed greater input.
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references (p. 71-76).
Subject (authority = RUETD)
Topic
Civil and Environmental Engineering
Subject (authority = ETD-LCSH)
Topic
Carbon compounds
Subject (authority = ETD-LCSH)
Topic
Air quality
Subject (authority = ETD-LCSH)
Topic
Environmental monitoring
Subject (authority = ETD-LCSH)
Topic
Pollution
Subject (authority = LCSH)
Geographic
New York Metropolitan Area
Subject (authority = LCSH)
Geographic
Middle Atlantic States
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.13478
Identifier
ETD_234
Identifier (type = doi)
doi:10.7282/T3SJ1M0K
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

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The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
AssociatedEntity (AUTHORITY = rulib); (ID = 1)
Name
Steven Kurian
Role
Copyright holder
Affiliation
Rutgers University. Graduate School-New Brunswick
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Permission or license
Detail
Non-exclusive ETD license
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License
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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.
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Technical

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application/x-tar
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