Item talk:Q267410
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Incorporating both physical and kinetic limitations in quantifying dissolved oxygen flux to aquatic sediments", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70035996", "url": "https://pubs.usgs.gov/publication/70035996" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70035996 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1061/(ASCE)EE.1943-7870.0000093", "url": "https://doi.org/10.1061/(ASCE)EE.1943-7870.0000093" }, { "@type": "PropertyValue", "propertyID": "ISSN", "value": "07339372" } ], "journal": { "@type": "Periodical", "name": "Journal of Environmental Engineering", "volumeNumber": "135", "issueNumber": "12" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Journal of Environmental Engineering" } ], "datePublished": "2009", "dateModified": "2012-03-12", "abstract": "Traditionally, dissolved oxygen (DO) fluxes have been calculated using the thin-film theory with DO microstructure data in systems characterized by fine sediments and low velocities. However, recent experimental evidence of fluctuating DO concentrations near the sediment-water interface suggests that turbulence and coherent motions control the mass transfer, and the surface renewal theory gives a more mechanistic model for quantifying fluxes. Both models involve quantifying the mass transfer coefficient (k) and the relevant concentration difference (??C). This study compared several empirical models for quantifying k based on both thin-film and surface renewal theories, as well as presents a new method for quantifying ??C (dynamic approach) that is consistent with the observed DO concentration fluctuations near the interface. Data were used from a series of flume experiments that includes both physical and kinetic uptake limitations of the flux. Results indicated that methods for quantifying k and ??C using the surface renewal theory better estimated the DO flux across a range of fluid-flow conditions. ?? 2009 ASCE.", "publisher": { "@type": "Organization", "name": "U.S. Geological Survey" }, "author": [ { "@type": "Person", "name": "Hondzo, Miki", "givenName": "Miki", "familyName": "Hondzo", "affiliation": [ { "@type": "Organization", "name": "Department of Civil, Environmental, and Geo- Engineering and St. Anthony Falls Laboratory, Minneapolis, MN" } ] }, { "@type": "Person", "name": "O'Connor, B.L.", "givenName": "B.L.", "familyName": "O'Connor" }, { "@type": "Person", "name": "Harvey, J. W.", "givenName": "J. W.", "familyName": "Harvey", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-2654-9873", "url": "https://orcid.org/0000-0002-2654-9873" } } ] }
}