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Hydrological modeling for the regional stormwater management plan

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TypeOfResource
Text
TitleInfo (ID = T-1)
Title
Hydrological modeling for the regional stormwater management plan
SubTitle
an application and intercomparison of event based runoff generation in an urban catchment using empirical, lumped vs. physical, distributed parameter modeling
Identifier
ETD_1627
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051353
Language
LanguageTerm (authority = ISO639-2); (type = code)
eng
Genre (authority = marcgt)
theses
Subject (ID = SBJ-1); (authority = RUETD)
Topic
Environmental Sciences
Subject (ID = SBJ-1); (authority = ETD-LCSH)
Topic
Runoff--Management
Subject (ID = SBJ-1); (authority = ETD-LCSH)
Abstract
Hydrologic modeling for the characterization of two Regional Stormwater Management Plans is performed using both a lumped parameter, empirical model and a fully distributed, physical model. Both urban/suburban watersheds located in the Northeast United States contain impaired waters, impervious surfaces ranging from 15 to 25% of total land area and are officially un-gauged. Event based models performed on storms that range from 0.5 to 1.25 inches total depth were modeled to compare the resultant simulation hydrographs of the HEC-HMS model to the MIKE-SHE model. The results of the calibrated model predictions compared well with the observed stream flow in the lumped parameter model, but were less accurate in simulating soil infiltration parameters and impervious surfaces in the fully distributed model. Sensitivity analysis of the lumped parameter model indicated that the empirical parameter representing infiltration and runoff had the greatest effect on the accuracy of the event hydrograph. The parameter that most affected accurate simulation of the overland flow in the fully distributed, physical model was the land roughness coefficient, Manning M. When the impervious surfaces and unsaturated zone were included in the fully distributed model, the hydraulic conductivity became the principal element of calibration.
PhysicalDescription
Form (authority = gmd)
electronic resource
Extent
vi, 150 p. : ill.
InternetMediaType
application/pdf
InternetMediaType
text/xml
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references (p. 132-139)
Note (type = statement of responsibility)
by Sandra M. Goodrow
Name (ID = NAME-1); (type = personal)
NamePart (type = family)
Goodrow
NamePart (type = given)
Sandra M.
NamePart (type = date)
1964
Role
RoleTerm (authority = RULIB); (type = )
author
DisplayForm
Sandra M. Goodrow
Name (ID = NAME-2); (type = personal)
NamePart (type = family)
Uchrin
NamePart (type = given)
Christopher
Role
RoleTerm (authority = RULIB); (type = )
chair
Affiliation
Advisory Committee
DisplayForm
Christopher Uchrin
Name (ID = NAME-3); (type = personal)
NamePart (type = family)
Obropta
NamePart (type = given)
Christoper
Role
RoleTerm (authority = RULIB); (type = )
internal member
Affiliation
Advisory Committee
DisplayForm
Christoper C Obropta
Name (ID = NAME-4); (type = personal)
NamePart (type = family)
Reinfelder
NamePart (type = given)
John
Role
RoleTerm (authority = RULIB); (type = )
internal member
Affiliation
Advisory Committee
DisplayForm
John Reinfelder
Name (ID = NAME-5); (type = personal)
NamePart (type = family)
Vowinkel
NamePart (type = given)
Eric
Role
RoleTerm (authority = RULIB); (type = )
outside member
Affiliation
Advisory Committee
DisplayForm
Eric Vowinkel
Name (ID = NAME-1); (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB); (type = )
degree grantor
Name (ID = NAME-2); (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB); (type = )
school
OriginInfo
DateCreated (point = ); (qualifier = exact)
2009
DateOther (qualifier = exact); (type = degree)
2009-05
Place
PlaceTerm (type = code)
xx
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
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/T31G0MGZ
Genre (authority = ExL-Esploro)
ETD doctoral
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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
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

ContentModel
ETD
MimeType (TYPE = file)
application/pdf
MimeType (TYPE = container)
application/x-tar
FileSize (UNIT = bytes)
3522560
Checksum (METHOD = SHA1)
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