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A Mixed Length Scale Model for Migrating Fluvial Bedforms
With the expansion of hydropower, in‐stream converters, flood‐protection infrastructures, and growing concerns on deltas fragile ecosystems, there is a pressing need to evaluate and monitor bedform sediment mass flux. It is critical to estimate real‐time bedform size and migration velocity and provi...
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Published in: | Geophysical research letters 2020-08, Vol.47 (15), p.n/a |
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creator | Guala, M. Heisel, M. Singh, A. Musa, M. Buscombe, D. Grams, P. |
description | With the expansion of hydropower, in‐stream converters, flood‐protection infrastructures, and growing concerns on deltas fragile ecosystems, there is a pressing need to evaluate and monitor bedform sediment mass flux. It is critical to estimate real‐time bedform size and migration velocity and provide a theoretical framework to convert easily accessible time histories of bed elevations into spatially evolving patterns. We collected spatiotemporally resolved bathymetries from laboratory flumes and the Colorado River in statistically steady, homogeneous, subcritical flow conditions. Wave number and frequency spectra of bed elevations show compelling evidence of scale‐dependent velocity for the hierarchy of migrating bedforms observed in the laboratory and field. New scaling laws were applied to describe the full range of migration velocities as function of two dimensionless groups based on the bed shear velocity, sediment diameter, and water depth. Further simplification resulted in a mixed length scale model estimating scale‐dependent migration velocities, without requiring bedform classification or identification.
Plain Language Summary
Sand and gravel sediment in river beds often forms wave‐like patterns called ripples or dunes, which are collectively referred to as bedforms. The flow of the river causes bedforms to form and slowly travel downstream, thus contributing to sediment transport, erosion, and deposition along the river and to the evolution of deltas. Predicting how fast bedforms move can improve our ability to estimate sediment load carried by rivers. In this study, experimental measurements of bedforms in a laboratory facility and in the Colorado River are used to better understand bedform movement. This study confirms that smaller bedforms move faster than larger bedforms and provides a simple equation to predict the speed of moving bedforms of different sizes based on the bedform length, the size of the sediment grains, and the depth of the river.
Key Points
Scale‐dependent bedform migration velocities are confirmed using laboratory and field measurements
Bedform velocity depends on stream depth, sediment diameter and shear velocity, reorganized into frictional and bankfull scaling parameters
A mixed length scale is proposed in a simplified predictive model |
doi_str_mv | 10.1029/2019GL086625 |
format | article |
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Plain Language Summary
Sand and gravel sediment in river beds often forms wave‐like patterns called ripples or dunes, which are collectively referred to as bedforms. The flow of the river causes bedforms to form and slowly travel downstream, thus contributing to sediment transport, erosion, and deposition along the river and to the evolution of deltas. Predicting how fast bedforms move can improve our ability to estimate sediment load carried by rivers. In this study, experimental measurements of bedforms in a laboratory facility and in the Colorado River are used to better understand bedform movement. This study confirms that smaller bedforms move faster than larger bedforms and provides a simple equation to predict the speed of moving bedforms of different sizes based on the bedform length, the size of the sediment grains, and the depth of the river.
Key Points
Scale‐dependent bedform migration velocities are confirmed using laboratory and field measurements
Bedform velocity depends on stream depth, sediment diameter and shear velocity, reorganized into frictional and bankfull scaling parameters
A mixed length scale is proposed in a simplified predictive model</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1029/2019GL086625</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>Bed forms ; Bedforms ; Converters ; Deltas ; Diameters ; dune ; Flood management ; Flood protection ; Flumes ; Fluvial sediments ; Frequency spectra ; Frequency spectrum ; GEOSCIENCES ; Gravel ; Hydroelectric power ; Laboratories ; Length ; Mass flux ; river ; River beds ; Riverbeds ; Rivers ; Sand & gravel ; Scale models ; Scaling ; Scaling laws ; Sediment ; Sediment load ; Sediment transport ; Sedimentary structures ; Sediments ; Subcritical flow ; Tranquil flow ; Velocity ; Water depth ; Wave number</subject><ispartof>Geophysical research letters, 2020-08, Vol.47 (15), p.n/a</ispartof><rights>2020. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3940-7fa70710595a279e0239a0acc4f4967d121326ab56aa1fdb8524aa6825bebcdb3</citedby><cites>FETCH-LOGICAL-a3940-7fa70710595a279e0239a0acc4f4967d121326ab56aa1fdb8524aa6825bebcdb3</cites><orcidid>0000-0001-6217-5584 ; 0000-0002-4200-5550 ; 0000-0003-2172-6321 ; 0000-0001-8984-7467 ; 0000-0002-0873-0708 ; 0000-0002-9788-8119 ; 0000000297888119 ; 0000000208730708 ; 0000000162175584 ; 0000000242005550 ; 0000000189847467 ; 0000000321726321</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2019GL086625$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2019GL086625$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,11513,27923,27924,46467,46891</link.rule.ids><backlink>$$Uhttps://www.osti.gov/servlets/purl/1648943$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Guala, M.</creatorcontrib><creatorcontrib>Heisel, M.</creatorcontrib><creatorcontrib>Singh, A.</creatorcontrib><creatorcontrib>Musa, M.</creatorcontrib><creatorcontrib>Buscombe, D.</creatorcontrib><creatorcontrib>Grams, P.</creatorcontrib><creatorcontrib>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)</creatorcontrib><title>A Mixed Length Scale Model for Migrating Fluvial Bedforms</title><title>Geophysical research letters</title><description>With the expansion of hydropower, in‐stream converters, flood‐protection infrastructures, and growing concerns on deltas fragile ecosystems, there is a pressing need to evaluate and monitor bedform sediment mass flux. It is critical to estimate real‐time bedform size and migration velocity and provide a theoretical framework to convert easily accessible time histories of bed elevations into spatially evolving patterns. We collected spatiotemporally resolved bathymetries from laboratory flumes and the Colorado River in statistically steady, homogeneous, subcritical flow conditions. Wave number and frequency spectra of bed elevations show compelling evidence of scale‐dependent velocity for the hierarchy of migrating bedforms observed in the laboratory and field. New scaling laws were applied to describe the full range of migration velocities as function of two dimensionless groups based on the bed shear velocity, sediment diameter, and water depth. Further simplification resulted in a mixed length scale model estimating scale‐dependent migration velocities, without requiring bedform classification or identification.
Plain Language Summary
Sand and gravel sediment in river beds often forms wave‐like patterns called ripples or dunes, which are collectively referred to as bedforms. The flow of the river causes bedforms to form and slowly travel downstream, thus contributing to sediment transport, erosion, and deposition along the river and to the evolution of deltas. Predicting how fast bedforms move can improve our ability to estimate sediment load carried by rivers. In this study, experimental measurements of bedforms in a laboratory facility and in the Colorado River are used to better understand bedform movement. This study confirms that smaller bedforms move faster than larger bedforms and provides a simple equation to predict the speed of moving bedforms of different sizes based on the bedform length, the size of the sediment grains, and the depth of the river.
Key Points
Scale‐dependent bedform migration velocities are confirmed using laboratory and field measurements
Bedform velocity depends on stream depth, sediment diameter and shear velocity, reorganized into frictional and bankfull scaling parameters
A mixed length scale is proposed in a simplified predictive model</description><subject>Bed forms</subject><subject>Bedforms</subject><subject>Converters</subject><subject>Deltas</subject><subject>Diameters</subject><subject>dune</subject><subject>Flood management</subject><subject>Flood protection</subject><subject>Flumes</subject><subject>Fluvial sediments</subject><subject>Frequency spectra</subject><subject>Frequency spectrum</subject><subject>GEOSCIENCES</subject><subject>Gravel</subject><subject>Hydroelectric power</subject><subject>Laboratories</subject><subject>Length</subject><subject>Mass flux</subject><subject>river</subject><subject>River beds</subject><subject>Riverbeds</subject><subject>Rivers</subject><subject>Sand & gravel</subject><subject>Scale models</subject><subject>Scaling</subject><subject>Scaling laws</subject><subject>Sediment</subject><subject>Sediment load</subject><subject>Sediment transport</subject><subject>Sedimentary structures</subject><subject>Sediments</subject><subject>Subcritical flow</subject><subject>Tranquil flow</subject><subject>Velocity</subject><subject>Water depth</subject><subject>Wave number</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp90E1PwzAMBuAIgcQY3PgBEVwpOB9Nm-OYtoHUCYmPc-Sm6dapa0fSAfv3FJUDJ0625EeW_RJyyeCWAdd3HJheZJAqxeMjMmJayigFSI7JCED3PU_UKTkLYQMAAgQbET2hy-rLFTRzzapb0xeLtaPLtnA1LVvfD1ceu6pZ0Xm9_6iwpveu6AfbcE5OSqyDu_itY_I2n71OH6LsafE4nWQRCi0hSkpMIGEQ6xh5oh1woRHQWllKrZKCcSa4wjxWiKws8jTmElGlPM5dbotcjMnVsLcNXWWCrTpn17ZtGmc7w5RMtRQ9uh7Qzrfvexc6s2n3vunvMlwKroXi_b9jcjMo69sQvCvNzldb9AfDwPwkaP4m2HM-8M-qdod_rVk8ZwqUAvENxblunQ</recordid><startdate>20200816</startdate><enddate>20200816</enddate><creator>Guala, M.</creator><creator>Heisel, M.</creator><creator>Singh, A.</creator><creator>Musa, M.</creator><creator>Buscombe, D.</creator><creator>Grams, P.</creator><general>John Wiley & Sons, Inc</general><general>American Geophysical Union</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>8FD</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>OIOZB</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000-0001-6217-5584</orcidid><orcidid>https://orcid.org/0000-0002-4200-5550</orcidid><orcidid>https://orcid.org/0000-0003-2172-6321</orcidid><orcidid>https://orcid.org/0000-0001-8984-7467</orcidid><orcidid>https://orcid.org/0000-0002-0873-0708</orcidid><orcidid>https://orcid.org/0000-0002-9788-8119</orcidid><orcidid>https://orcid.org/0000000297888119</orcidid><orcidid>https://orcid.org/0000000208730708</orcidid><orcidid>https://orcid.org/0000000162175584</orcidid><orcidid>https://orcid.org/0000000242005550</orcidid><orcidid>https://orcid.org/0000000189847467</orcidid><orcidid>https://orcid.org/0000000321726321</orcidid></search><sort><creationdate>20200816</creationdate><title>A Mixed Length Scale Model for Migrating Fluvial Bedforms</title><author>Guala, M. ; Heisel, M. ; Singh, A. ; Musa, M. ; Buscombe, D. ; Grams, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3940-7fa70710595a279e0239a0acc4f4967d121326ab56aa1fdb8524aa6825bebcdb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Bed forms</topic><topic>Bedforms</topic><topic>Converters</topic><topic>Deltas</topic><topic>Diameters</topic><topic>dune</topic><topic>Flood management</topic><topic>Flood protection</topic><topic>Flumes</topic><topic>Fluvial sediments</topic><topic>Frequency spectra</topic><topic>Frequency spectrum</topic><topic>GEOSCIENCES</topic><topic>Gravel</topic><topic>Hydroelectric power</topic><topic>Laboratories</topic><topic>Length</topic><topic>Mass flux</topic><topic>river</topic><topic>River beds</topic><topic>Riverbeds</topic><topic>Rivers</topic><topic>Sand & gravel</topic><topic>Scale models</topic><topic>Scaling</topic><topic>Scaling laws</topic><topic>Sediment</topic><topic>Sediment load</topic><topic>Sediment transport</topic><topic>Sedimentary structures</topic><topic>Sediments</topic><topic>Subcritical flow</topic><topic>Tranquil flow</topic><topic>Velocity</topic><topic>Water depth</topic><topic>Wave number</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guala, M.</creatorcontrib><creatorcontrib>Heisel, M.</creatorcontrib><creatorcontrib>Singh, A.</creatorcontrib><creatorcontrib>Musa, M.</creatorcontrib><creatorcontrib>Buscombe, D.</creatorcontrib><creatorcontrib>Grams, P.</creatorcontrib><creatorcontrib>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><jtitle>Geophysical research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guala, M.</au><au>Heisel, M.</au><au>Singh, A.</au><au>Musa, M.</au><au>Buscombe, D.</au><au>Grams, P.</au><aucorp>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Mixed Length Scale Model for Migrating Fluvial Bedforms</atitle><jtitle>Geophysical research letters</jtitle><date>2020-08-16</date><risdate>2020</risdate><volume>47</volume><issue>15</issue><epage>n/a</epage><issn>0094-8276</issn><eissn>1944-8007</eissn><abstract>With the expansion of hydropower, in‐stream converters, flood‐protection infrastructures, and growing concerns on deltas fragile ecosystems, there is a pressing need to evaluate and monitor bedform sediment mass flux. It is critical to estimate real‐time bedform size and migration velocity and provide a theoretical framework to convert easily accessible time histories of bed elevations into spatially evolving patterns. We collected spatiotemporally resolved bathymetries from laboratory flumes and the Colorado River in statistically steady, homogeneous, subcritical flow conditions. Wave number and frequency spectra of bed elevations show compelling evidence of scale‐dependent velocity for the hierarchy of migrating bedforms observed in the laboratory and field. New scaling laws were applied to describe the full range of migration velocities as function of two dimensionless groups based on the bed shear velocity, sediment diameter, and water depth. Further simplification resulted in a mixed length scale model estimating scale‐dependent migration velocities, without requiring bedform classification or identification.
Plain Language Summary
Sand and gravel sediment in river beds often forms wave‐like patterns called ripples or dunes, which are collectively referred to as bedforms. The flow of the river causes bedforms to form and slowly travel downstream, thus contributing to sediment transport, erosion, and deposition along the river and to the evolution of deltas. Predicting how fast bedforms move can improve our ability to estimate sediment load carried by rivers. In this study, experimental measurements of bedforms in a laboratory facility and in the Colorado River are used to better understand bedform movement. This study confirms that smaller bedforms move faster than larger bedforms and provides a simple equation to predict the speed of moving bedforms of different sizes based on the bedform length, the size of the sediment grains, and the depth of the river.
Key Points
Scale‐dependent bedform migration velocities are confirmed using laboratory and field measurements
Bedform velocity depends on stream depth, sediment diameter and shear velocity, reorganized into frictional and bankfull scaling parameters
A mixed length scale is proposed in a simplified predictive model</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2019GL086625</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-6217-5584</orcidid><orcidid>https://orcid.org/0000-0002-4200-5550</orcidid><orcidid>https://orcid.org/0000-0003-2172-6321</orcidid><orcidid>https://orcid.org/0000-0001-8984-7467</orcidid><orcidid>https://orcid.org/0000-0002-0873-0708</orcidid><orcidid>https://orcid.org/0000-0002-9788-8119</orcidid><orcidid>https://orcid.org/0000000297888119</orcidid><orcidid>https://orcid.org/0000000208730708</orcidid><orcidid>https://orcid.org/0000000162175584</orcidid><orcidid>https://orcid.org/0000000242005550</orcidid><orcidid>https://orcid.org/0000000189847467</orcidid><orcidid>https://orcid.org/0000000321726321</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Bed forms Bedforms Converters Deltas Diameters dune Flood management Flood protection Flumes Fluvial sediments Frequency spectra Frequency spectrum GEOSCIENCES Gravel Hydroelectric power Laboratories Length Mass flux river River beds Riverbeds Rivers Sand & gravel Scale models Scaling Scaling laws Sediment Sediment load Sediment transport Sedimentary structures Sediments Subcritical flow Tranquil flow Velocity Water depth Wave number |
title | A Mixed Length Scale Model for Migrating Fluvial Bedforms |
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