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Understanding water use in Phoenix, AZ

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TitleInfo
Title
Understanding water use in Phoenix, AZ
SubTitle
a spatial statistics approach
Name (type = personal)
NamePart (type = family)
Randall
NamePart (type = given)
Joshua Nicholas
NamePart (type = date)
1990-
DisplayForm
Joshua Randall
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Schneider
NamePart (type = given)
Laura C
DisplayForm
Laura C Schneider
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Rennermalm
NamePart (type = given)
Asa
DisplayForm
Asa Rennermalm
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Tulloch
NamePart (type = given)
David
DisplayForm
David Tulloch
Affiliation
Advisory Committee
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)
2014
DateOther (qualifier = exact); (type = degree)
2014-05
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Water managers in Arizona are facing difficulties due to population and urban infrastructure growth. An understanding of water use patterns is critical to the management of urban water resources. This study focuses on estimating spatial and socioeconomic patterns of water users in the Phoenix Metro area through a series of statistical analysis. Using total water use for 2010 as a dependent variable and 36 socioeconomic characteristics as explanatory variables, four statistical methods were used to analyze the relationships: 1) Individual regression analyses, 2) A multivariate regression analysis 3) a principal components analysis (PCA) and 4) a principal components regression. Results show that water users between ages of 55 to 69 by census tract correlated strongest with total water use in 2010. Results of the multivariate regression of seven socioeconomic variables were able to explain 77% of the variability of water use across the study area. PCA analysis identified three components of socioeconomic variables that in combination explained 73% of water use. From the components four specific socioeconomic groups were identified: high income retiree populations, large Hispanic families, high income families, and low to middle income populations. To analyze the spatial clustering of water use and socio-economic data, local index of spatial autocorrelation (LISA) mapping was used. The identified socioeconomic clusters were found to overlay political boundaries. Recommendations presented include possible water use patterns for each identified socioeconomic group and some suggested programs that may be beneficial to water management. LISA results also suggest that addressing intra-city water management to account for the spatial variability of water use their users across political boundaries is important. The analysis presented here may be used as tool to identify broad spatial and statistical water use patterns, but it has limitations to understanding patterns at the level of households.
Subject (authority = RUETD)
Topic
Geography
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_5523
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
viii, 55 p. : ill.
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Joshua Nicholas Randall
Subject (authority = ETD-LCSH)
Topic
Water demand management--Arizona--Phoenix
Subject (authority = ETD-LCSH)
Topic
Water consumption--Arizona--Phoenix
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/T3XW4H4Z
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Randall
GivenName
Joshua
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2014-04-15 14:41:02
AssociatedEntity
Name
Joshua Randall
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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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
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