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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Kevin Czajkowski</dc:contributor>
  <dc:contributor>Michael Palmer</dc:contributor>
  <dc:contributor>James Coss</dc:contributor>
  <dc:contributor>Steve Davis</dc:contributor>
  <dc:contributor>Jim Stafford</dc:contributor>
  <dc:contributor>Norm Wideman</dc:contributor>
  <dc:contributor>Fred D. Theurer</dc:contributor>
  <dc:contributor>G. F. Koltun</dc:contributor>
  <dc:contributor>Pete Richards</dc:contributor>
  <dc:contributor>Tony Friona</dc:contributor>
  <dc:creator>Ronald L. Bingner</dc:creator>
  <dc:date>2005</dc:date>
  <dc:description>&lt;p&gt;The Upper Auglaize Watershed agricultural non-point source modeling project was an interagency effort to use a&amp;nbsp;Geographic Information System (GIS)-based modeling approach for assessing and reducing pollution from&amp;nbsp;agricultural runoff and other non-point sources. This project applied the U.S. Department of Agriculture (USDA),&amp;nbsp;Agricultural Research Service’s AGricultural Non-Point Source (AGNPS) suite of models to the Upper Auglaize&amp;nbsp;River Watershed, a major watershed within the Maumee River Basin. This modeling project was conducted by an&amp;nbsp;interagency team consisting of a partnership between the: (1) USDA, Agricultural Research Service (ARS);&amp;nbsp;(2) USDA, Natural Resources Conservation Service (NRCS); (3) U.S. Army Corps of Engineers (USACE);&amp;nbsp;(4) U.S. Geological Survey (USGS); (5) Ohio State University; (6) University of Toledo (UT); (7) Heidelberg&amp;nbsp;College; (8) Ohio Department of Natural Resources (ODNR), Division of Soil and Water Conservation; (9) Ohio&amp;nbsp;Environmental Protection Agency (OEPA); and (10) Allen, Auglaize, Van Wert, and Putnam Soil and Water&amp;nbsp;Conservation Districts. The partnership was the first step in a process to eventually apply the model in a portioned&amp;nbsp;subset of watersheds for the Maumee Basin, and then to link them to form a comprehensive basin-wide model This&amp;nbsp;work was performed under the authority of Section 516(e) of the Water Resources Development Act (WRDA) of&amp;nbsp;1996, as amended, for the purpose of assisting State and local watershed managers with their evaluation,&amp;nbsp;prioritization and implementation of alternatives for soil conservation, sediment trapping and non-point source&amp;nbsp;pollution prevention in the Upper Auglaize River watershed.&amp;nbsp;&lt;/p&gt;&lt;p&gt;The project team, working in a cooperative effort, used the models to determine sediment sources, contributing&amp;nbsp;locations, and the effect of application of best management practices (BMPs) on rates of sediment delivery to the&amp;nbsp;mouth of the watershed. The results will be used to guide conservation incentive and land treatment programs. The&amp;nbsp;team relied heavily on Geographic Information System (GIS)-based applications to expedite the application of the&amp;nbsp;model.&lt;br&gt;&lt;/p&gt;&lt;p&gt;The results of the analysis demonstrated that the application of BMPs would have a positive effect on reducing the&amp;nbsp;loadings of sediment leaving the mouth of the Upper Auglaize Watershed. An application of 17 percent new no-till&amp;nbsp;acres and eight percent new grassland acres, when randomly applied to the watershed, reduced loadings at the mouth&amp;nbsp;to 82 percent of the simulated existing condition loadings. No-till, conversion of cropland to grassland, other uses&amp;nbsp;including grass buffers, and reforestation of parts of the watershed, were all shown by the model to have a&amp;nbsp;measurable effect on reducing sediment loads. Conversion of all of the cropland in the watershed to no-till would&amp;nbsp;reduce the average unit load (tons of sediment per acre) leaving the mouth of the watershed to a level that is 42&amp;nbsp;percent of the simulated existing condition load.&amp;nbsp;&lt;/p&gt;&lt;p&gt;Ephemeral gullies were found to be the primary source of erosion (72 percent), sediment yield (73 percent), and&amp;nbsp;sediment loading (73 percent). Controlling sediment load means controlling gully erosion and possibly trapping&amp;nbsp;sediment yield before it reaches the stream system. Most BMPs (e.g., no-till, conversion of cropland, etc.) that&amp;nbsp;reduce sheet and rill erosion and its sediment yield will also reduce gully erosion and its sediment yield. However,&amp;nbsp;grassed waterways, which have no effect on sheet and rill erosion, are frequently an effective BMP to prevent&amp;nbsp;ephemeral gullies. And, of course, riparian vegetation and sediment traps would reduce the delivery ratios of all&amp;nbsp;types of landscape erosion.&amp;nbsp;&lt;/p&gt;&lt;p&gt;New techniques were developed by the team to quantify the ephemeral gully erosion within the model. When&amp;nbsp;calibrated to available stream gage data the model suggests that more (73% in the existing condition simulation) of&amp;nbsp;the sediment load originates from ephemeral gully erosion than from traditional sheet and rill erosion.&amp;nbsp;The model quantified the value of tile drainage in reducing the sediment load from the watershed. Loadings under&amp;nbsp;drained conditions were always less than loadings under undrained conditions for otherwise identical land uses. The&amp;nbsp;average sediment load of all alternatives for drained loadings was 89.2 percent of the load for the corresponding&amp;nbsp;undrained loadings. The model established that while many conservation incentive programs treat tile drainage as a&amp;nbsp;production practice, significant erosion and sediment control benefits are provided by the practice in comparison to&amp;nbsp;cultivation in an undrained state. &lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:language>en</dc:language>
  <dc:publisher>U. S. Department of Agriculture</dc:publisher>
  <dc:title>Upper Auglaize watershed AGNPS modeling project</dc:title>
  <dc:type>reports</dc:type>
</oai_dc:dc>