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2003 Annual Report: Exemplary Education, Innovative Research, Creative Design

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BAE Home > Annual Reports > 2005 Annual Report Home > Research

Evaluating Feedlot Runoff Pollution and Ways to Reduce Impacts

Bruce Wilson, Professor
David Schmidt, Assistant Extension Educator
David Wall, Minnesota Pollution Control Agency
Aleksey Sheshukov, Research Associate
Reid Pulley, Graduate Student

Funding Source

U.S. Environmental Protection Agency, 319 Clean Water Partnership Program

Objective

The overall goal of the study is to improve the management of feedlot runoff. Objectives are to:

  1. Conduct a literature review of contaminants in feedlot runoff,
  2. Update the FLEval model with the results of the literature review, and
  3. Develop a more process-based model of feedlot runoff.

Need or Impact

In the late 1970s and early 1980s, the Agricultural Research Service, working in conjunction with four state and federal agencies, developed an evaluation system to rate feedlot pollution potential. The resulting computer model, known as FLEval, has been used extensively in Minnesota since 1982. The model provides a uniform and objective means of evaluating potential pollution from feedlot runoff. It is widely used by county feedlot officers; SWCD, NRCS, and MPCA staff; and watershed managers. While the current model has been useful, more is now expected from the model than originally intended. An update of the FLEval model is needed based on additional research data collected since its original development.

Project Status

A literature review has been conducted to summarize activities since the original FLEval model was developed. Rainfall data for selected stations in Minnesota has been summarized. This information is used used to predict annual loadings by dividing the year into winter, spring, summer, and fall events. Feedback from users is currently being obtained with the new model. In addition to modifying FLEval, a more process-based approach is being developed for feedlot runoff. This approach uses the WINDS module developed as part of the Mn/DOT project. In addition to runoff, algorithms are being developed to predict nitrogen and phosphorous discharge from feedlots.

 


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