Literature DB >> 30078989

Capturing Microbial Sources Distributed in a Mixed-use Watershed within an Integrated Environmental Modeling Workflow.

Gene Whelan1, Keewook Kim2, Rajbir Parmar1, Gerard F Laniak1, Kurt Wolfe1, Michael Galvin1, Marirosa Molina1, Yakov A Pachepsky3, Paul Duda4, Richard Zepp1, Lourdes Prieto1, Julie L Kinzelman5, Gregory T Kleinheinz6, Mark A Borchardt7.   

Abstract

Many watershed models simulate overland and instream microbial fate and transport, but few provide loading rates on land surfaces and point sources to the waterbody network. This paper describes the underlying equations for microbial loading rates associated with 1) land-applied manure on undeveloped areas from domestic animals; 2) direct shedding (excretion) on undeveloped lands by domestic animals and wildlife; 3) urban or engineered areas; and 4) point sources that directly discharge to streams from septic systems and shedding by domestic animals. A microbial source module, which houses these formulations, is part of a workflow containing multiple models and databases that form a loosely configured modeling infrastructure which supports watershed-scale microbial source-to-receptor modeling by focusing on animal- and human-impacted catchments. A hypothetical application - accessing, retrieving, and using real-world data - demonstrates how the infrastructure can automate many of the manual steps associated with a standard watershed assessment, culminating in calibrated flow and microbial densities at the watershed's pour point.

Entities:  

Keywords:  Integrated environmental modeling; QMRA; manure; pathogens; risk assessment; watershed modeling

Year:  2018        PMID: 30078989      PMCID: PMC6069999          DOI: 10.1016/j.envsoft.2017.08.002

Source DB:  PubMed          Journal:  Environ Model Softw        ISSN: 1364-8152            Impact factor:   5.288


  13 in total

1.  Decadal and shorter period variability of surf zone water quality at Huntington Beach, California.

Authors:  A B Boehm; S B Grant; J H Kim; S L Mowbray; C D McGee; C D Clark; D M Foley; D E Wellman
Journal:  Environ Sci Technol       Date:  2002-09-15       Impact factor: 9.028

2.  Pathogen and indicator variability in a heavily impacted watershed.

Authors:  Sarah M Dorner; William B Anderson; Terri Gaulin; Heather L Candon; Robin M Slawson; Pierre Payment; Peter M Huck
Journal:  J Water Health       Date:  2007-06       Impact factor: 1.744

3.  Evaluating the importance of faecal sources in human-impacted waters.

Authors:  Mary E Schoen; Jeffrey A Soller; Nicholas J Ashbolt
Journal:  Water Res       Date:  2011-03-02       Impact factor: 11.236

4.  Assessing pathogen risk to swimmers at non-sewage impacted recreational beaches.

Authors:  Mary E Schoen; Nicholas J Ashbolt
Journal:  Environ Sci Technol       Date:  2010-04-01       Impact factor: 9.028

5.  Demonstration of methods to reduce E. coli runoff from dairy manure application sites.

Authors:  Donald W Meals; David C Braun
Journal:  J Environ Qual       Date:  2006-05-31       Impact factor: 2.751

Review 6.  Modeling fate and transport of fecally-derived microorganisms at the watershed scale: State of the science and future opportunities.

Authors:  Kyung Hwa Cho; Yakov A Pachepsky; David M Oliver; Richard W Muirhead; Yongeun Park; Richard S Quilliam; Daniel R Shelton
Journal:  Water Res       Date:  2016-04-29       Impact factor: 11.236

7.  Using the Q10 model to simulate E. coli survival in cowpats on grazing lands.

Authors:  Gonzalo Martinez; Yakov A Pachepsky; Daniel R Shelton; Gene Whelan; Richard Zepp; Marirosa Molina; Kimberly Panhorst
Journal:  Environ Int       Date:  2013-01-31       Impact factor: 9.621

8.  Decay of fecal indicator bacterial populations and bovine-associated source-tracking markers in freshly deposited cow pats.

Authors:  Adelumola Oladeinde; Thomas Bohrmann; Kelvin Wong; S T Purucker; Ken Bradshaw; Reid Brown; Blake Snyder; Marirosa Molina
Journal:  Appl Environ Microbiol       Date:  2013-10-18       Impact factor: 4.792

9.  Rainfall-induced release of microbes from manure: model development, parameter estimation, and uncertainty evaluation on small plots.

Authors:  Keewook Kim; Gene Whelan; Marirosa Molina; S Thomas Purucker; Yakov Pachepsky; Andrey Guber; Michael J Cyterski; Dorcas H Franklin; Ryan A Blaustein
Journal:  J Water Health       Date:  2016-06       Impact factor: 1.744

10.  Escherichia coli survival in waters: temperature dependence.

Authors:  R A Blaustein; Y Pachepsky; R L Hill; D R Shelton; G Whelan
Journal:  Water Res       Date:  2012-11-06       Impact factor: 11.236

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