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Using Geographical Information System (GIS)-based watershed characteristics to predict stream visual assessment scores
Descriptive
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Title
Using Geographical Information System (GIS)-based watershed characteristics to predict stream visual assessment scores
Name
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Fyock
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Ellen L.
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Ellen L. Fyock
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author
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Obropta
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Chris
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Advisory Committee
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Chris Obropta
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chair
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Reinfelder
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John
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Advisory Committee
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John Reinfelder
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internal member
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Uchrin
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Chris
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Advisory Committee
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Chris Uchrin
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internal member
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Rutgers University
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degree grantor
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Graduate School - New Brunswick
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school
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theses
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2008
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2008-05
Language
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English
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electronic
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v, 94 pages
Abstract
The Stream Visual Assessment Protocol (SVAP) was designed as a cost-effective measurement of stream condition that can be used by non-scientific individuals with minimal training. It is intended as a preliminary assessment to determine problem areas where further study is needed. Although the SVAP is a simple assessment, resources are still required to train staff and volunteers on the protocol and to spend days in the field collecting data. However, if existing data can be used to obtain comparable stream health information without requiring field work, the cost associated with these resources can be reduced. This research investigated whether models can be created using previously collected SVAP data and GIS-based watershed characteristics to evaluate stream conditions to eliminate field work.
Using GIS, characteristics such as basin area and stream size were calculated for the areas draining into SVAP assessment locations. Digital data was used to determine characteristics based on land use/cover and soils. Statistical models were created using SVAP data from the Ramapo watershed in northeastern New Jersey. Models significant at α = 0.10 or lower were applied to the Wanaque watershed to determine whether the SVAP scores can be predicted in another location. While the regression models generally explained a high amount of variance in the Ramapo SVAP scores, the SVAP scores for Wanaque could not be accurately predicted from the test models.
Using GIS, characteristics such as basin area and stream size were calculated for the areas draining into SVAP assessment locations. Digital data was used to determine characteristics based on land use/cover and soils. Statistical models were created using SVAP data from the Ramapo watershed in northeastern New Jersey. Models significant at α = 0.10 or lower were applied to the Wanaque watershed to determine whether the SVAP scores can be predicted in another location. While the regression models generally explained a high amount of variance in the Ramapo SVAP scores, the SVAP scores for Wanaque could not be accurately predicted from the test models.
Note
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M.S.
Note
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Includes bibliographical references (p. 34-36).
Subject
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Topic
Environmental Sciences
Subject
(ID = SUBJ2);
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Topic
Watershed management
Subject
(ID = SUBJ3);
(authority = ETD-LCSH)
Topic
Stream ecology
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Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
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rucore19991600001
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http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17309
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ETD_902
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NjNbRU
Identifier
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doi:10.7282/T36Q1XMT
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ETD graduate
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Rights
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The author owns the copyright to this work.
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Copyright protected
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Open
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Name
Ellen Fyock
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Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
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Non-exclusive ETD license
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Author Agreement License
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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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