Item talk:Q255578

{

 "USGS Publications Warehouse": {
   "@context": "https://schema.org",
   "@type": "Article",
   "additionalType": "Journal Article",
   "name": "Acoustic bed velocity and bed load dynamics in a large sand bed river",
   "identifier": [
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse IndexID",
       "value": "70028332",
       "url": "https://pubs.usgs.gov/publication/70028332"
     },
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse Internal ID",
       "value": 70028332
     },
     {
       "@type": "PropertyValue",
       "propertyID": "DOI",
       "value": "10.1029/2005JF000411",
       "url": "https://doi.org/10.1029/2005JF000411"
     },
     {
       "@type": "PropertyValue",
       "propertyID": "ISSN",
       "value": "01480227"
     }
   ],
   "journal": {
     "@type": "Periodical",
     "name": "Journal of Geophysical Research F: Earth Surface",
     "volumeNumber": "111",
     "issueNumber": "2"
   },
   "inLanguage": "en",
   "isPartOf": [
     {
       "@type": "CreativeWorkSeries",
       "name": "Journal of Geophysical Research F: Earth Surface"
     }
   ],
   "datePublished": "2006",
   "dateModified": "2016-06-03",
   "abstract": "Development of a practical technology for rapid quantification of bed load transport in large rivers would represent a revolutionary advance for sediment monitoring and the investigation of fluvial dynamics. Measurement of bed load motion with acoustic Doppler current profiles (ADCPs) has emerged as a promising approach for evaluating bed load transport. However, a better understanding of how ADCP data relate to conditions near the stream bed is necessary to make the method practical for quantitative applications. In this paper, we discuss the response of ADCP bed velocity measurements, defined as the near-bed sediment velocity detected by the instrument's bottom-tracking feature, to changing sediment-transporting conditions in the lower Missouri River. Bed velocity represents a weighted average of backscatter from moving bed load particles and spectral reflections from the immobile bed. The ratio of bed velocity to mean bed load particle velocity depends on the concentration of the particles moving in the bed load layer, the bed load layer thickness, and the backscatter strength from a unit area of moving particles relative to the echo strength from a unit area of unobstructed bed. A model based on existing bed load transport theory predicted measured bed velocities from hydraulic and grain size measurements with reasonable success. Bed velocities become more variable and increase more rapidly with shear stress when the transport stage, defined as the ratio of skin friction to the critical shear stress for particle entrainment, exceeds a threshold of about 17. This transition in bed velocity response appears to be associated with the appearance of longer, flatter bed forms at high transport stages.",
   "description": "14 p.",
   "publisher": {
     "@type": "Organization",
     "name": "American Geophysical Union, Wiley"
   },
   "author": [
     {
       "@type": "Person",
       "name": "Gaeuman, D.",
       "givenName": "D.",
       "familyName": "Gaeuman"
     },
     {
       "@type": "Person",
       "name": "Jacobson, R. B.",
       "givenName": "R. B.",
       "familyName": "Jacobson",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "ORCID",
         "value": "0000-0002-8368-2064",
         "url": "https://orcid.org/0000-0002-8368-2064"
       },
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Columbia Environmental Research Center",
           "url": "https://www.usgs.gov/centers/columbia-environmental-research-center"
         }
       ]
     }
   ],
   "funder": [
     {
       "@type": "Organization",
       "name": "Columbia Environmental Research Center",
       "url": "https://www.usgs.gov/centers/columbia-environmental-research-center"
     }
   ]
 }

}