RUcore: Rutgers University Community Repository
Watershed modeling using HEC-RAS, HEC-HMS, and GIS models
Descriptive
TypeOfResource
Text
TitleInfo
(ID = T-1)
Title
Watershed modeling using HEC-RAS, HEC-HMS, and GIS models
SubTitle
a case study of the Wreck Pond Brook Watershed in Monmouth County, New Jersey
Identifier
ETD_1611
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051392
Language
LanguageTerm
(authority = ISO639-2);
(type = code)
eng
Genre
(authority = marcgt)
theses
Subject
(ID = SBJ-1);
(authority = RUETD)
Topic
Civil and Environmental Engineering
Subject
(ID = SBJ-1);
(authority = ETD-LCSH)
Topic
Watersheds--New Jersey
Subject
(ID = SBJ-1);
(authority = ETD-LCSH)
Topic
Watershed management
Subject
(ID = SBJ-1);
(authority = lcsh/lcnaf)
Geographic
Wreck Pond Brook (N.J.)
Abstract
Managing stormwater on a watershed basis is considered the best strategy to address flooding. A watershed model should provide temporal and spatial distribution of runoff response for a given storm. GIS applicability in watershed modeling is increasing due to the availability of spatial information, fast processors and interfaces such as ArcHydro, HEC-GeoHMS, and HEC-GeoRAS linking hydrologic and hydraulic models to the ArcGIS environment.
Soil Conservation Service methods are used widely in hydrologic models. Several parameters inherent to these empirical methods are average values derived from various watershed conditions. These average values overestimate peak flows for flat, low-lying coastal terrains. The design of flood control structures based on these flow values allow more post-development discharge, make the system more hydraulically efficient, increase project costs, and cause flooding for areas downstream. In this study, Wreck Pond Brook Watershed (WPBW), a coastal New Jersey area was used for sensitivity studies of the initial abstraction ratio and peak rate factor. The HEC-HMS modeling results indicated use of a lower peak rate factor (e.g. 284) and 5% initial abstraction ratio provided better characterization of stream response. These updated parameters provide new technical information for improving stormwater management in coastal areas.
An important limitation in hydraulic modeling is the economic constraint on cross-section spacing for surveying channels and floodplains. Applying GIS techniques in hydraulic modeling eliminated this constraint. Floodplain analysis was done using ArcGIS, HEC-GeoRAS and HEC-RAS. Detailed elevation data (LIDAR information from Monmouth County) was incorporated into the HEC-RAS using GIS models. This innovation was important for improving model efficiency. The modeled floodplain demonstrated close agreement to the observed floodplain for the October 2005 storm and showed greater accuracy compared to the FEMA floodplain for the 100-year storm. This study validated use of LIDAR elevation data in floodplain analysis for the second-order streams in coastal NJ.
Finally, an approach was demonstrated using modeled floodplain and HEC-HMS for flood control analysis. This study presents an innovative watershed modeling approach using GIS models while addressing the limitations of traditional hydrologic and hydraulic methods using WPBW as an example.
Soil Conservation Service methods are used widely in hydrologic models. Several parameters inherent to these empirical methods are average values derived from various watershed conditions. These average values overestimate peak flows for flat, low-lying coastal terrains. The design of flood control structures based on these flow values allow more post-development discharge, make the system more hydraulically efficient, increase project costs, and cause flooding for areas downstream. In this study, Wreck Pond Brook Watershed (WPBW), a coastal New Jersey area was used for sensitivity studies of the initial abstraction ratio and peak rate factor. The HEC-HMS modeling results indicated use of a lower peak rate factor (e.g. 284) and 5% initial abstraction ratio provided better characterization of stream response. These updated parameters provide new technical information for improving stormwater management in coastal areas.
An important limitation in hydraulic modeling is the economic constraint on cross-section spacing for surveying channels and floodplains. Applying GIS techniques in hydraulic modeling eliminated this constraint. Floodplain analysis was done using ArcGIS, HEC-GeoRAS and HEC-RAS. Detailed elevation data (LIDAR information from Monmouth County) was incorporated into the HEC-RAS using GIS models. This innovation was important for improving model efficiency. The modeled floodplain demonstrated close agreement to the observed floodplain for the October 2005 storm and showed greater accuracy compared to the FEMA floodplain for the 100-year storm. This study validated use of LIDAR elevation data in floodplain analysis for the second-order streams in coastal NJ.
Finally, an approach was demonstrated using modeled floodplain and HEC-HMS for flood control analysis. This study presents an innovative watershed modeling approach using GIS models while addressing the limitations of traditional hydrologic and hydraulic methods using WPBW as an example.
PhysicalDescription
Form
(authority = gmd)
electronic resource
Extent
xxiv, 370 p. : ill.
InternetMediaType
application/pdf
InternetMediaType
text/xml
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references (p. 259-263)
Note
(type = statement of responsibility)
by Kunal P. Patel
Name
(ID = NAME-1);
(type = personal)
NamePart
(type = family)
Patel
NamePart
(type = given)
Kunal P.
NamePart
(type = date)
1978
Role
RoleTerm
(authority = RULIB);
(type = )
author
DisplayForm
Kunal P. Patel
Name
(ID = NAME-2);
(type = personal)
NamePart
(type = family)
Mazurek
NamePart
(type = given)
Monica
Role
RoleTerm
(authority = RULIB);
(type = )
chair
Affiliation
Advisory Committee
DisplayForm
Monica A Mazurek
Name
(ID = NAME-3);
(type = personal)
NamePart
(type = family)
Guo
NamePart
(type = given)
Qizhong
Role
RoleTerm
(authority = RULIB);
(type = )
internal member
Affiliation
Advisory Committee
DisplayForm
Qizhong Guo
Name
(ID = NAME-4);
(type = personal)
NamePart
(type = family)
Ozbay
NamePart
(type = given)
Kaan
Role
RoleTerm
(authority = RULIB);
(type = )
internal member
Affiliation
Advisory Committee
DisplayForm
Kaan Ozbay
Name
(ID = NAME-5);
(type = personal)
NamePart
(type = family)
Chant
NamePart
(type = given)
Robert
Role
RoleTerm
(authority = RULIB);
(type = )
outside member
Affiliation
Advisory Committee
DisplayForm
Robert J Chant
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/T31R6QQC
Genre
(authority = ExL-Esploro)
ETD doctoral
Back to the top
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.
Back to the top
Technical
ContentModel
ETD
MimeType
(TYPE = file)
application/pdf
MimeType
(TYPE = container)
application/x-tar
FileSize
(UNIT = bytes)
21821440
Checksum
(METHOD = SHA1)
aca1bb98d1f8b17c90d52fd78dfa2e28252d682b
Back to the top
Statistical Profile