EPA Science Inventory

A Workflow to Model Microbial Loadings in Watersheds (proceedings)

Citation:

Wolfe, K., R. Parmar, G. Whelan, Gerry Laniak, M. Galvin, K. Kim, M. Molina, R. Zepp, P. Duda, AND D. Keiser. A Workflow to Model Microbial Loadings in Watersheds (proceedings). In Proceedings, 8th International Congress on Environmental Modelling and Software, Toulouse, FRANCE, July 10 - 14, 2016. International Environmental Modelling and Software Society, Manno, Switzerland, 4, (2016).

Description:

Many watershed models simulate overland and instream microbial fate and transport, but few actually provide loading rates on land surfaces and point sources to the water body network. This paper describes the underlying general equations for microbial loading rates associated with 1) land-applied manure on undeveloped areas from domestic animals; 2) direct shedding 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 linked within a workflow containing eight models and a set of databases that form a loosely configured modeling infrastructure which supports watershed-scale microbial source-to-receptor modeling by focusing on animal-impacted catchments. A hypothetical example application – accessing, retrieving, and using real-world data – demonstrates the ability of the infrastructure to automate many of the manual steps associated with a standard watershed assessment, culminating with calibrated flow and microbial densities at the pour point of a watershed.

Purpose/Objective:

In the Proceedings of the International Environmental Modelling and Software Society (iEMSs), 8th International Congress on Environmental Modelling and Software, Toulouse, France

URLs/Downloads:

http://scholarsarchive.byu.edu/iemssconference/2016/Stream-A/4   Exit

Record Details:

Record Type: DOCUMENT (PAPER IN NON-EPA PROCEEDINGS)
Completion Date: 09/08/2016
Record Last Revised: 02/16/2017
Record Created: 02/16/2017
Record Released: 02/16/2017
OMB Category: Other
Record ID: 335324

Organization:

U.S. ENVIRONMENTAL PROTECTION AGENCY

OFFICE OF RESEARCH AND DEVELOPMENT

NATIONAL EXPOSURE RESEARCH LABORATORY

COMPUTATIONAL EXPOSURE DIVISION