Item talk:Q265518
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Shoaling wave shape estimates from field observations and derived bedload sediment rates", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70228381", "url": "https://pubs.usgs.gov/publication/70228381" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70228381 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.3390/jmse10020223", "url": "https://doi.org/10.3390/jmse10020223" } ], "journal": { "@type": "Periodical", "name": "Journal of Marine Science and Engineering", "volumeNumber": "10", "issueNumber": "2" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Journal of Marine Science and Engineering" } ], "datePublished": "2022", "dateModified": "2022-02-09", "abstract": "The shoaling transformation from generally linear deep-water waves to asymmetric shallow-water waves modifies wave shapes and causes near-bed orbital velocities to become asymmetrical, contributing to net sediment transport. In this work, we used two methods to estimate the asymmetric wave shape from data at three sites. The first method converted wave measurements made at the surface to idealized near-bottom wave-orbital velocities using a set of empirical equations: the \u201cparameterized\u201d waveforms. The second method involved direct measurements of velocities and pressure made near the seabed: the \u201cdirect\u201d waveforms. Estimates from the two methods were well correlated at all three sites (Pearson\u2019s correlation coefficient greater than 0.85). Both methods were used to drive bedload-transport calculations that accounted for asymmetric waves, and the results were compared with a traditional excess-stress formulation and field estimates of bedload transport derived from ripple migration rates based on sonar imagery. The cumulative bedload transport from the parameterized waveform was 25% greater than the direct waveform, mainly because the parameterized waveform did not account for negative skewness. Calculated transport rates were comparable to rates estimated from ripple migration except during the largest event, when calculated rates were as much as 100 times greater, which occurred during high period waves.", "description": "223, 27 p.", "publisher": { "@type": "Organization", "name": "MDPI" }, "author": [ { "@type": "Person", "name": "Leavitt, Gibson Robert Scott", "givenName": "Gibson Robert Scott", "familyName": "Leavitt", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0001-5362-9150", "url": "https://orcid.org/0000-0001-5362-9150" }, "affiliation": [ { "@type": "Organization", "name": "Woods Hole Coastal and Marine Science Center", "url": "https://www.usgs.gov/centers/woods-hole-coastal-and-marine-science-center" } ] }, { "@type": "Person", "name": "Aretxabaleta, Alfredo aaretxabaleta@usgs.gov", "givenName": "Alfredo", "familyName": "Aretxabaleta", "email": "aaretxabaleta@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": 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"Estimates": [ 87 ], "were": [ 92, 107, 121, 172, 188 ], "well": [ 93 ], "correlated": [ 94 ], "all": [ 96 ], "sites": [ 98 ], "(Pearson\u2019s": [ 99 ], "correlation": [ 100 ], "coefficient": [ 101 ], "greater": [ 102, 153 ], "than": [ 103, 154 ], "0.85).": [ 104 ], "Both": [ 105 ], "drive": [ 110 ], "bedload-transport": [ 111 ], "calculations": [ 112 ], "that": [ 113 ], "accounted": [ 114 ], "for": [ 115, 166 ], "waves,": [ 117 ], "results": [ 120 ], "compared": [ 122 ], "with": [ 123 ], "traditional": [ 125 ], "excess-stress": [ 126 ], "formulation": [ 127 ], "field": [ 129 ], "estimates": [ 130 ], "bedload": [ 132, 145 ], "transport": [ 133, 146, 170 ], "derived": [ 134 ], "ripple": [ 136, 178 ], "migration": [ 137, 179 ], "rates": [ 138, 171, 175, 187 ], "based": [ 139 ], "on": [ 140 ], "sonar": [ 141 ], "imagery.": [ 142 ], "cumulative": [ 144 ], "parameterized": [ 149, 161 ], "waveform": [ 150, 162 ], "was": [ 151 ], "25%": [ 152 ], "waveform,": [ 157 ], "mainly": [ 158 ], 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