Modeling Fecal Bacteria in Oregon Coastal Streams Using Spatially Explicit Watershed Characteristics

Pathogens, such as Escherichia coli and fecal coliforms, are causing the majority of water quality impairments in U.S., making up ~87% of this grouping's violations. Predicting and characterizing source, transport processes, and microbial survival rates is extremely challenging, due to the dyna...

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Main Author: Pettus, Paul Bryce
Format: Others
Published: PDXScholar 2013
Subjects:
Online Access:https://pdxscholar.library.pdx.edu/open_access_etds/1493
https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=2492&context=open_access_etds
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spelling ndltd-pdx.edu-oai-pdxscholar.library.pdx.edu-open_access_etds-24922019-10-20T04:35:41Z Modeling Fecal Bacteria in Oregon Coastal Streams Using Spatially Explicit Watershed Characteristics Pettus, Paul Bryce Pathogens, such as Escherichia coli and fecal coliforms, are causing the majority of water quality impairments in U.S., making up ~87% of this grouping's violations. Predicting and characterizing source, transport processes, and microbial survival rates is extremely challenging, due to the dynamic nature of each of these components. This research built upon current analytical methods that are used as exploratory tools to predict pathogen indicator counts across regional scales. Using a series of non-parametric methodologies, with spatially explicit predictors, 6657 samples from non-estuarine lotic streams were analyzed to make generalized predictions of regional water quality. 532 frequently sampled sites in the Oregon Coast Range Ecoregion, were parsed down to 93 pathogen sampling sites in effect to control for spatial and temporal biases. This generalized model was able to provide credible results in assessing regional water quality, using spatial techniques, and applying them to infrequently or unmonitored catchments. This model's 56.5% explanation of variation, was comparable to other researchers' regional assessments. This research confirmed linkages to land uses related to anthropogenic activities such as animal operations and agriculture, and general riparian conditions. 2013-12-16T08:00:00Z text application/pdf https://pdxscholar.library.pdx.edu/open_access_etds/1493 https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=2492&context=open_access_etds Dissertations and Theses PDXScholar Enterobacteriaceae -- Oregon -- Oregon Coast Range Escherichia coli -- Oregon -- Oregon Coast Range Water quality -- Oregon -- Oregon Coast Range -- Mathematical models Bacterial pollution of water -- Oregon -- Oregon Coast Range -- Mathematical models Ecological regions -- Oregon -- Oregon Coast Range Bacteria Water Resource Management
collection NDLTD
format Others
sources NDLTD
topic Enterobacteriaceae -- Oregon -- Oregon Coast Range
Escherichia coli -- Oregon -- Oregon Coast Range
Water quality -- Oregon -- Oregon Coast Range -- Mathematical models
Bacterial pollution of water -- Oregon -- Oregon Coast Range -- Mathematical models
Ecological regions -- Oregon -- Oregon Coast Range
Bacteria
Water Resource Management
spellingShingle Enterobacteriaceae -- Oregon -- Oregon Coast Range
Escherichia coli -- Oregon -- Oregon Coast Range
Water quality -- Oregon -- Oregon Coast Range -- Mathematical models
Bacterial pollution of water -- Oregon -- Oregon Coast Range -- Mathematical models
Ecological regions -- Oregon -- Oregon Coast Range
Bacteria
Water Resource Management
Pettus, Paul Bryce
Modeling Fecal Bacteria in Oregon Coastal Streams Using Spatially Explicit Watershed Characteristics
description Pathogens, such as Escherichia coli and fecal coliforms, are causing the majority of water quality impairments in U.S., making up ~87% of this grouping's violations. Predicting and characterizing source, transport processes, and microbial survival rates is extremely challenging, due to the dynamic nature of each of these components. This research built upon current analytical methods that are used as exploratory tools to predict pathogen indicator counts across regional scales. Using a series of non-parametric methodologies, with spatially explicit predictors, 6657 samples from non-estuarine lotic streams were analyzed to make generalized predictions of regional water quality. 532 frequently sampled sites in the Oregon Coast Range Ecoregion, were parsed down to 93 pathogen sampling sites in effect to control for spatial and temporal biases. This generalized model was able to provide credible results in assessing regional water quality, using spatial techniques, and applying them to infrequently or unmonitored catchments. This model's 56.5% explanation of variation, was comparable to other researchers' regional assessments. This research confirmed linkages to land uses related to anthropogenic activities such as animal operations and agriculture, and general riparian conditions.
author Pettus, Paul Bryce
author_facet Pettus, Paul Bryce
author_sort Pettus, Paul Bryce
title Modeling Fecal Bacteria in Oregon Coastal Streams Using Spatially Explicit Watershed Characteristics
title_short Modeling Fecal Bacteria in Oregon Coastal Streams Using Spatially Explicit Watershed Characteristics
title_full Modeling Fecal Bacteria in Oregon Coastal Streams Using Spatially Explicit Watershed Characteristics
title_fullStr Modeling Fecal Bacteria in Oregon Coastal Streams Using Spatially Explicit Watershed Characteristics
title_full_unstemmed Modeling Fecal Bacteria in Oregon Coastal Streams Using Spatially Explicit Watershed Characteristics
title_sort modeling fecal bacteria in oregon coastal streams using spatially explicit watershed characteristics
publisher PDXScholar
publishDate 2013
url https://pdxscholar.library.pdx.edu/open_access_etds/1493
https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=2492&context=open_access_etds
work_keys_str_mv AT pettuspaulbryce modelingfecalbacteriainoregoncoastalstreamsusingspatiallyexplicitwatershedcharacteristics
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