Item talk:Q327713

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   "creators": [
     {
       "name": "Miller, Olivia L",
       "nameType": "Personal",
       "givenName": "Olivia L",
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       "name": "Wise, Daniel",
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       "name": "Anning, David W",
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   "titles": [
     {
       "title": "SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Southwestern United States, 2012 Base Year (ver. 2.0, October 2020)"
     }
   ],
   "publisher": "U.S. Geological Survey",
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   "publicationYear": 2020,
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   "dates": [
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       "date": "2020",
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       "description": "The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Southwestern Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based water-quality load estimates. This USGS data release includes input and output files associated with 2012 SPARROW simulations of streamflow, total nitrogen, total phosphorus and suspended-sediment load in streams of the Southwestern region. This dataset was revised in October 2020. Variables were added to the sw_sparrow_model_input.txt file that had previously been calculated in SW SPARROW model control files. A coding error was fixed in the suspended sediment model control files, resulting in updates to sw_sparrow_model_output_SS.txt. Duplicated COMIDs were removed from all output files. Suspended sediment values were reported in metric tons per year. Model construction, calibration and results are described in Wise, Anning, and Miller (2019, https://doi.org/10.3133/sir20195106). First posted - January 6, 2020 (available from author) Reivsed - October 26,2020 (version 2.0)",
       "descriptionType": "Abstract"
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