Maxent Estimation of Aquatic Escherichia Coli Stream Impairment

Dennis Gilfillan; Timothy A. Joyner; Phillip Scheuerman

doi:10.7717/peerj.5610

Maxent Estimation of Aquatic Escherichia Coli Stream Impairment

Dennis Gilfillan, Timothy A. Joyner, Phillip Scheuerman

East Tennessee State University

Research output: Contribution to journal › Article › peer-review

Abstract

Background. The leading cause of surface water impairment in United States’ rivers and streams is pathogen contamination. Although use of fecal indicators has reduced human health risk, current approaches to identify and reduce exposure can be improved. One important knowledge gap within exposure assessment is characterization of complex fate and transport processes of fecal pollution. Novel modeling processes can inform watershed decision-making to improve exposure assessment.

Original language	American English
Journal	PeerJ
Volume	6
DOIs	https://doi.org/10.7717/peerj.5610
State	Published - Sep 13 2018

Keywords

aquatic environment; Escherichia Coli; stream impairment
Fecal indicators
Environmental microbiology
Surface Water quality
Statistical modeling

Disciplines

Environmental Microbiology and Microbial Ecology
Environmental Public Health

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10.7717/peerj.5610License: CC BY

Maxent Estimation of Aquatic Escherichia Coli Stream ImpairmentFinal published version, 2.01 MBLicense: CC BY
Maxent Estimation of Aquatic Escherichia Coli Stream ImpairmentFinal published version, 2.01 MBLicense: CC BY
Maxent Estimation of Aquatic Escherichia Coli Stream ImpairmentFinal published version, 2.01 MBLicense: CC BY
Maxent Estimation of Aquatic Escherichia Coli Stream ImpairmentFinal published version, 2.01 MBLicense: CC BY

Cite this

@article{f2b0daa600c7412d97848acb8ca7d682,

title = "Maxent Estimation of Aquatic Escherichia Coli Stream Impairment",

abstract = " Background. The leading cause of surface water impairment in United States{\textquoteright} rivers and streams is pathogen contamination. Although use of fecal indicators has reduced human health risk, current approaches to identify and reduce exposure can be improved. One important knowledge gap within exposure assessment is characterization of complex fate and transport processes of fecal pollution. Novel modeling processes can inform watershed decision-making to improve exposure assessment.",

keywords = "aquatic environment; Escherichia Coli; stream impairment, Fecal indicators, Environmental microbiology, Surface Water quality, Statistical modeling",

author = "Dennis Gilfillan and Joyner, \{Timothy A.\} and Phillip Scheuerman",

year = "2018",

month = sep,

day = "13",

doi = "10.7717/peerj.5610",

language = "American English",

volume = "6",

journal = "PeerJ",

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TY - JOUR

T1 - Maxent Estimation of Aquatic Escherichia Coli Stream Impairment

AU - Gilfillan, Dennis

AU - Joyner, Timothy A.

AU - Scheuerman, Phillip

PY - 2018/9/13

Y1 - 2018/9/13

N2 - Background. The leading cause of surface water impairment in United States’ rivers and streams is pathogen contamination. Although use of fecal indicators has reduced human health risk, current approaches to identify and reduce exposure can be improved. One important knowledge gap within exposure assessment is characterization of complex fate and transport processes of fecal pollution. Novel modeling processes can inform watershed decision-making to improve exposure assessment.

AB - Background. The leading cause of surface water impairment in United States’ rivers and streams is pathogen contamination. Although use of fecal indicators has reduced human health risk, current approaches to identify and reduce exposure can be improved. One important knowledge gap within exposure assessment is characterization of complex fate and transport processes of fecal pollution. Novel modeling processes can inform watershed decision-making to improve exposure assessment.

KW - aquatic environment; Escherichia Coli; stream impairment

KW - Fecal indicators

KW - Environmental microbiology

KW - Surface Water quality

KW - Statistical modeling

UR - https://dc.etsu.edu/etsu-works/5587

UR - https://dc.etsu.edu/etsu-works/5480

U2 - 10.7717/peerj.5610

DO - 10.7717/peerj.5610

M3 - Article

VL - 6

JO - PeerJ

JF - PeerJ

ER -

Maxent Estimation of Aquatic Escherichia Coli Stream Impairment

Abstract

Keywords

Disciplines

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