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Date Permissions Signed
5-16-2012
Date of Award
2012
Document Type
Masters Thesis
Degree Name
Master of Science (MS)
Department
Environmental Sciences
First Advisor
Landis, Wayne G.
Second Advisor
Matthews, Robin A., 1952-
Third Advisor
Cancilla, Devon A. (Devon Anthony)
Fourth Advisor
Stahl, Ralph G., 1953-
Abstract
The South River watershed in western Virginia has a history of mercury contamination from past industrial practices. My study demonstrates how Bayesian networks can be used to conduct an environmental risk assessment of aquatic and riparian environments to assess the overall effects of mercury contamination to target species in the South River. The risk assessment focused on two species of fish, one game-fish, smallmouth bass and one non-game fish, white sucker and two species of birds, one piscivorous, Belted Kingfisher and one insectivorous, Carolina Wren. By examining the exposure pathways through various habitats in the study area, I created a conceptual model that linked the sources of mercury through cause and effect pathways to the potentially impacted target species. From this conceptual model, a three-tiered Bayesian network was constructed to represent not only the impacts of mercury but also the complex interactions and overall risk from other common chemicals, ecological stressors and habitat stressors. The model outputs and sensitivity analysis showed that mercury is one of the two top factors determining risk to fish and birds in the South River for at least one of the six regions in the South River study area. The results of this study demonstrate that Bayesian networks can be used to calculate risk for multiple stressors, and that they are a powerful tool for informing future management strategies for the restoration of the South River watershed.
Type
Text
DOI
https://doi.org/10.25710/wf2k-7s62
Publisher
Western Washington University
OCLC Number
794789076
Subject – LCSH
Environmental risk assessment--Virginia--South River Watershed (Augusta County and Rockingham County)--Mathematical models; Riparian ecology--Virginia--South River Watershed (Augusta County and Rockingham County); Aquatic ecology--Virginia--South River Watershed (Augusta County and Rockingham County); Smallmouth bass--Mercury content--Virginia--South River Watershed (Augusta County and Rockingham County); White sucker--Mercury content--Virginia--South River Watershed (Augusta County and Rockingham County); Belted kingfisher--Mercury content--Virginia--South River Watershed (Augusta County and Rockingham County); Carolina wren--Mercury content--Virginia--South River Watershed (Augusta County and Rockingham County); Mercury--Bioaccumulation--Virginia--South River Watershed (Augusta County and Rockingham County)
Geographic Coverage
South River Watershed (Augusta County and Rockingham County, Va.)
Format
application/pdf
Genre/Form
masters theses
Language
English
Rights
Copying of this document in whole or in part is allowable only for scholarly purposes. It is understood, however, that any copying or publication of this thesis for commercial purposes, or for financial gain, shall not be allowed without the author's written permission.
Recommended Citation
Summers, Heather M., "The use of a Bayesian network to calculate the risks of mercury contamination to fish and birds of the South River, Virginia" (2012). WWU Graduate School Collection. 210.
https://cedar.wwu.edu/wwuet/210