Item talk:Q230338

{

 "@context": "http://schema.org/",
 "@type": "WebPage",
 "additionalType": "Project",
 "url": "https://www.usgs.gov/centers/colorado-water-science-center/science/water-quality-sampling-five-hydrologic-benchmark",
 "headline": "Water-Quality Sampling at Five Hydrologic Benchmark Stations in the Western United States",
 "datePublished": "October 1, 2001",
 "author": [
   {
     "@type": "Person",
     "name": "David W Clow",
     "url": "https://www.usgs.gov/staff-profiles/david-w-clow",
     "identifier": {
       "@type": "PropertyValue",
       "propertyID": "orcid",
       "value": "0000-0001-6183-4824"
     }
   },
   {
     "@type": "Person",
     "name": "M. Alisa Mast",
     "url": "https://www.usgs.gov/staff-profiles/m-alisa-mast",
     "identifier": {
       "@type": "PropertyValue",
       "propertyID": "orcid",
       "value": "0000-0001-6253-8162"
     }
   }
 ],
 "description": [
   {
     "@type": "TextObject",
     "text": "Historically, the HBN has used a fixed-interval sampling strategy, however other more robust sampling strategies are now available. Trend networks, for example, can take advantage of recent advances in hydrochemical modeling to devise more powerful approaches for detecting trends that may be due to environmental changes, such as atmospheric deposition or climate change."
   },
   {
     "@type": "TextObject",
     "text": "The Hydrologic Benchmark Network (HBN) was established in 1963 to provide long-term measurements of streamflow and water quality in areas of the United States that are minimally affected by human activities."
   },
   {
     "@type": "TextObject",
     "text": "By creating concentration-discharge models that also incorporate seasonality, it is possible to account for variations in stream chemistry due to changes in flow or season. This makes it possible to isolate trends that may be due to environmental changes, such as atmospheric deposition or climate change."
   },
   {
     "@type": "TextObject",
     "text": "To develop improved sampling strategies for detecting surface-water trends in high-elevation, snowmelt dominated basins in the western United States."
   },
   {
     "@type": "TextObject",
     "text": "Five basins in the study are part of the Hydrologic Benchmark Network:"
   },
   {
     "@type": "TextObject",
     "text": "OBJECTIVES:"
   }
 ],
 "funder": {
   "@type": "Organization",
   "name": "Colorado Water Science Center",
   "url": "https://www.usgs.gov/centers/colorado-water-science-center"
 },
 "about": [
   {
     "@type": "Thing",
     "name": "Energy"
   },
   {
     "@type": "Thing",
     "name": "Geology"
   },
   {
     "@type": "Thing",
     "name": "Water Quality"
   },
   {
     "@type": "Thing",
     "name": "Science Technology"
   },
   {
     "@type": "Thing",
     "name": "Environmental Health"
   },
   {
     "@type": "Thing",
     "name": "Surface Water"
   },
   {
     "@type": "Thing",
     "name": "Water"
   },
   {
     "@type": "Thing",
     "name": "Information Systems"
   },
   {
     "@type": "Thing",
     "name": "Methods and Analysis"
   }
 ]

}