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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>Sherry H. Wang</dc:contributor>
  <dc:contributor>Gregory E. Schwarz</dc:contributor>
  <dc:creator>Anne B. Hoos</dc:creator>
  <dc:date>2019</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;We evaluated whether SPAtially Referenced Regression On Watershed attributes (SPARROW) models calibrated for two adjacent USA regions could be applied at the local scale to support&amp;nbsp;management decisions&amp;nbsp;for streams in Tennessee. Nutrient-source apportionment of load is important for this local-scale application and demands&amp;nbsp;&lt;/span&gt;careful consideration&lt;span&gt;&amp;nbsp;of uncertainty in the calibrated coefficients. We used Gauss-Newton regression to test the published SPARROW models for constancy of coefficient estimates between calibration sites on streams within (n = 59) versus outside (n = 327) Tennessee and concluded&amp;nbsp;source apportionment&amp;nbsp;was unbiased for Tennessee streams. The SPARROW models were then applied without re-calibration to predict stream loads and source apportionment for Tennessee streams and to build tools for displaying model results and evaluating source-change scenarios. This approach may inform the adaptation of other regional-scale regression models for use to address&amp;nbsp;water-resource management&amp;nbsp;issues in smaller-scale watersheds.&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1016/j.envsoft.2019.01.001</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Elsevier</dc:publisher>
  <dc:title>Adapting a regional water-quality model for local application: A case study for Tennessee, USA</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>