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HSPF Application to Microbial Indicator Data

Trent Schade, Katherine Field, Orin Shanks and Matthew Morrison (2009)
Delta Q Partners; Oregon State University; US EPA
DOI: https://doi.org/10.14796/JWMM.R235-02
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Abstract

From March 2001 to March 2003 researchers at the Tillamook Estuaries Partnership and Oregon State University collected water quality samples at regular two-week intervals at 30 sites along five rivers in the Tillamook Basin in northwestern Oregon. The unique dataset consists of Escherichia coli counts paired with ruminant- and human-specific 16S rRNA gene hostspecific polymerase chain reaction (PCR) data (Bernard and Field 2000) that allow for the direct comparison of regulated fecal indicator bacteria (FIB) contaminant levels with fecal source tracking information. The focus of the current study was on five sampling stations in the Trask River watershed, where two USGS gauging stations provide a long-term hydrologic record. Using regular time intervals in a water quality sampling protocol produces a set of data randomized in terms of the hydrological conditions for each sampling event. With this water quality data, we produced a dosing type of analysis to make broad inferences about the type, source and pathways for water quality impairment.

Additional analysis of the entire dataset showed that during wet periods, there was a positive correlation in some locations between flow and FIB and host-specific PCR data. The current study applied a Hydrological Simulation Program Fortran (HSPF) model of the Trask River Watershed portion of the Tillamook Basin in order to provide a more mechanistic understanding of the fate and transport of fecal pollutants. HSPF can distinguish at short time intervals (hours) over long period (decades) 24 HSPF Application to Microbial Indicator Data between flow originating as surface runoff, interflow, and groundwater flow. Applied to the microbial sampling data, the separated hydrographs may yield a stronger relationship between FIB and PCR data and hydrologic variables. Further, this work may suggest modifications for the type and placement of best management practices for both human and animal sources of microbial contamination.

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PAPER INFO

Identification

CHI ref #: R235-02 786
Volume: 17
DOI: https://doi.org/10.14796/JWMM.R235-02
Cite as: CHI JWMM 2009;R235-02

Publication History

Received: N/A
Accepted: N/A
Published: February 15, 2009

Status

# reviewers: 2
Version: Final published

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© 2009 CHI. Some rights reserved.

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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

The Journal of Water Management Modeling is an open-access (OA) publication. Open access means that articles and papers are available without barriers to all who could benefit from them. Practically speaking, all published works will be available to a worldwide audience, free, immediately on publication. As such, JWMM can be considered a Diamond, Gratis OA journal.

All papers published in the JWMM are licensed under a Creative Commons Attribution 4.0 International License (CC BY).

JWMM content can be downloaded, printed, copied, distributed, and linked-to, when providing full attribution to both the author/s and JWMM.


AUTHORS

Trent Schade

Delta Q Partners, Cincinnati, OH, USA
ORCiD:

Katherine Field

Oregon State University, Corvallis, OR, USA
ORCiD:

Orin Shanks

US EPA, Cincinnati, OH, USA
ORCiD:

Matthew Morrison

US EPA, Cincinnati, OH, USA
ORCiD:


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