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A geographic approach to modeling the impact of green roofs on combined sewer overflows in the Bronx

Descriptive

TitleInfo (type = uniform)
Title
A geographic approach to modeling the impact of green roofs on combined sewer overflows in the Bronx
Name (type = personal)
NamePart (type = family)
Hartman
NamePart (type = given)
Danielle M.
DisplayForm
Danielle Hartman
Role
RoleTerm (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Wiggins
NamePart (type = given)
Lyna
Affiliation
Advisory Committee
DisplayForm
Lyna Wiggins
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Andrews
NamePart (type = given)
Clinton
Affiliation
Advisory Committee
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Clinton Andrews
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Tulloch
NamePart (type = given)
David
Affiliation
Advisory Committee
DisplayForm
David Tulloch
Role
RoleTerm (authority = RULIB)
internal 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 (qualifier = exact)
2008
DateOther (qualifier = exact); (type = degree)
2008-10
Language
LanguageTerm
English
PhysicalDescription
Form (authority = marcform)
electronic
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
238 pages
Note
Includes illustrations and maps (some colored).
Abstract
The Bronx, New York, like many older urban areas in the United States, suffers from the negative environmental impacts from combined sewer overflows (CSOs). Green roofs have been proposed as a best management practice to reduce stormwater runoff and CSOs. These vegetated roof tops can detain rainfall along with providing other benefits to the building owner and community. This paper describes a green roof stormwater model designed for the Bronx, New York. Building-level geographic data was used to estimate the potential area for green roof implementation in each sewer system subcatchment. A software program was designed as a decision support system with a green roof micro-model, a simple sewer system model, and an interactive map. The model results show that if extensive green roofs were implemented on all available flat roof space, then annual CSOs could be reduced by over 30%. This paper discusses the geographic variation of the model results, and the effectiveness of green roofs as a CSO best management practice is used to rank subcatchment performance.
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references (p. 119-124).
Subject (authority = RUETD)
Topic
Geography
Subject (authority = ETD-LCSH)
Topic
Combined sewer overflows--Mathematical models
Subject (authority = ETD-LCSH)
Topic
Green roofs (Gardening)--Mathematical models
Subject (authority = ETD-LCSH)
Topic
Green roofs (Gardening)--New York (State)--New York
Subject (authority = ETD-LCSH)
Topic
Runoff--Management
Subject (authority = ETD-LCSH)
Topic
Runoff--New York (State)--New York
Subject
HierarchicalGeographic
Country
UNITED STATES
State
New York
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.17489
Identifier
ETD_1272
Identifier (type = doi)
doi:10.7282/T36H4HS5
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Subject (authority = lcsh/lcnaf)
Geographic
Bronx (New York, N.Y.)
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (AUTHORITY = GS); (ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
AssociatedEntity (AUTHORITY = rulib); (ID = 1)
Name
Danielle Hartman
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
RightsEvent (AUTHORITY = rulib); (ID = 1)
Type
Permission or license
Detail
Non-exclusive ETD license
AssociatedObject (AUTHORITY = rulib); (ID = 1)
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.
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Technical

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