Understanding partial bed-load transport: Experiments and stochastic model analysis
•A class of partial bedload transport experiments has been conducted.•The leading front of bedload exhibits transient anomalous scaling rates.•Cluster structures cause coexistence of sub- and super-diffusion of bedload.•A stochastic model is employed to capture the anomalous transport of bedload. Th...
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Veröffentlicht in: | Journal of hydrology (Amsterdam) 2015-02, Vol.521, p.196-204 |
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creator | Sun, HongGuang Chen, Dong Zhang, Yong Chen, Li |
description | •A class of partial bedload transport experiments has been conducted.•The leading front of bedload exhibits transient anomalous scaling rates.•Cluster structures cause coexistence of sub- and super-diffusion of bedload.•A stochastic model is employed to capture the anomalous transport of bedload.
The complex dynamics of partial bed-load transport in a series of well-controlled laboratory experiments are explored systematically and simulated by a stochastic model in this study. Flume experiments show that the leading front of bed-load on a 20-m-long, mixed-size gravel-bed moves anomalously, where the transient transport rate of the accelerating front varies with the observation time scale. In addition, observations show that moving particles may experience bimodal transport (i.e., coexistence of long trapping time and large jump length) related to bed coarsening and the formation of clusters on a heterogeneous gravel-bed, which is distinguished from the traditional theory of hiding–exposing interactions among mixed-size particles. A fractional derivative model is finally applied to characterize the overall behavior of partial bed-load transport, including the coexistence of the sub-diffusion and non-local feature caused by turbulence and the micro-relief within an armor layer. |
doi_str_mv | 10.1016/j.jhydrol.2014.11.064 |
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The complex dynamics of partial bed-load transport in a series of well-controlled laboratory experiments are explored systematically and simulated by a stochastic model in this study. Flume experiments show that the leading front of bed-load on a 20-m-long, mixed-size gravel-bed moves anomalously, where the transient transport rate of the accelerating front varies with the observation time scale. In addition, observations show that moving particles may experience bimodal transport (i.e., coexistence of long trapping time and large jump length) related to bed coarsening and the formation of clusters on a heterogeneous gravel-bed, which is distinguished from the traditional theory of hiding–exposing interactions among mixed-size particles. A fractional derivative model is finally applied to characterize the overall behavior of partial bed-load transport, including the coexistence of the sub-diffusion and non-local feature caused by turbulence and the micro-relief within an armor layer.</description><identifier>ISSN: 0022-1694</identifier><identifier>EISSN: 1879-2707</identifier><identifier>DOI: 10.1016/j.jhydrol.2014.11.064</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Anomalous transport ; Coarsening ; Computer simulation ; Derivatives ; Dynamical systems ; Fractional derivative ; Hydrology ; Partial bed-load transport ; Scale dependent ; Stochasticity ; Transport ; Trapping ; Turbulent flow</subject><ispartof>Journal of hydrology (Amsterdam), 2015-02, Vol.521, p.196-204</ispartof><rights>2014 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c422t-c10e6c2d832ae60eeb9eb5474522845dc97d04d44981ca6a4faf1c78c7cfbe643</citedby><cites>FETCH-LOGICAL-c422t-c10e6c2d832ae60eeb9eb5474522845dc97d04d44981ca6a4faf1c78c7cfbe643</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S002216941400986X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Sun, HongGuang</creatorcontrib><creatorcontrib>Chen, Dong</creatorcontrib><creatorcontrib>Zhang, Yong</creatorcontrib><creatorcontrib>Chen, Li</creatorcontrib><title>Understanding partial bed-load transport: Experiments and stochastic model analysis</title><title>Journal of hydrology (Amsterdam)</title><description>•A class of partial bedload transport experiments has been conducted.•The leading front of bedload exhibits transient anomalous scaling rates.•Cluster structures cause coexistence of sub- and super-diffusion of bedload.•A stochastic model is employed to capture the anomalous transport of bedload.
The complex dynamics of partial bed-load transport in a series of well-controlled laboratory experiments are explored systematically and simulated by a stochastic model in this study. Flume experiments show that the leading front of bed-load on a 20-m-long, mixed-size gravel-bed moves anomalously, where the transient transport rate of the accelerating front varies with the observation time scale. In addition, observations show that moving particles may experience bimodal transport (i.e., coexistence of long trapping time and large jump length) related to bed coarsening and the formation of clusters on a heterogeneous gravel-bed, which is distinguished from the traditional theory of hiding–exposing interactions among mixed-size particles. A fractional derivative model is finally applied to characterize the overall behavior of partial bed-load transport, including the coexistence of the sub-diffusion and non-local feature caused by turbulence and the micro-relief within an armor layer.</description><subject>Anomalous transport</subject><subject>Coarsening</subject><subject>Computer simulation</subject><subject>Derivatives</subject><subject>Dynamical systems</subject><subject>Fractional derivative</subject><subject>Hydrology</subject><subject>Partial bed-load transport</subject><subject>Scale dependent</subject><subject>Stochasticity</subject><subject>Transport</subject><subject>Trapping</subject><subject>Turbulent flow</subject><issn>0022-1694</issn><issn>1879-2707</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqNkM1OwzAQhC0EEqXwCEg5ckmwHcdOuCBUlR-pEgfo2XLsDXXlxsF2EX17Uto77GWl1TejnUHomuCCYMJv18V6tTPBu4JiwgpCCszZCZqQWjQ5FVicognGlOaEN-wcXcS4xuOUJZugt2VvIMSkemP7j2xQIVnlshZM7rwyWQqqj4MP6S6bfw8Q7Ab6FLMRz2LyeqVisjrbeANuPCq3izZeorNOuQhXxz1Fy8f5--w5X7w-vcweFrlmlKZcEwxcU1OXVAHHAG0DbcUEqyitWWV0IwxmhrGmJlpxxTrVES1qLXTXAmflFN0cfIfgP7cQk9zYqME51YPfRkm4EA0TnIl_oLymFRaCj2h1QHXwMQbo5DCmVmEnCZb7vuVaHvuW-74lIRL_fnN_0MEY-ctCkFFb6DUYG0Anabz9w-EHIeSNXw</recordid><startdate>201502</startdate><enddate>201502</enddate><creator>Sun, HongGuang</creator><creator>Chen, Dong</creator><creator>Zhang, Yong</creator><creator>Chen, Li</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>201502</creationdate><title>Understanding partial bed-load transport: Experiments and stochastic model analysis</title><author>Sun, HongGuang ; Chen, Dong ; Zhang, Yong ; Chen, Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c422t-c10e6c2d832ae60eeb9eb5474522845dc97d04d44981ca6a4faf1c78c7cfbe643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Anomalous transport</topic><topic>Coarsening</topic><topic>Computer simulation</topic><topic>Derivatives</topic><topic>Dynamical systems</topic><topic>Fractional derivative</topic><topic>Hydrology</topic><topic>Partial bed-load transport</topic><topic>Scale dependent</topic><topic>Stochasticity</topic><topic>Transport</topic><topic>Trapping</topic><topic>Turbulent flow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, HongGuang</creatorcontrib><creatorcontrib>Chen, Dong</creatorcontrib><creatorcontrib>Zhang, Yong</creatorcontrib><creatorcontrib>Chen, Li</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of hydrology (Amsterdam)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, HongGuang</au><au>Chen, Dong</au><au>Zhang, Yong</au><au>Chen, Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Understanding partial bed-load transport: Experiments and stochastic model analysis</atitle><jtitle>Journal of hydrology (Amsterdam)</jtitle><date>2015-02</date><risdate>2015</risdate><volume>521</volume><spage>196</spage><epage>204</epage><pages>196-204</pages><issn>0022-1694</issn><eissn>1879-2707</eissn><abstract>•A class of partial bedload transport experiments has been conducted.•The leading front of bedload exhibits transient anomalous scaling rates.•Cluster structures cause coexistence of sub- and super-diffusion of bedload.•A stochastic model is employed to capture the anomalous transport of bedload.
The complex dynamics of partial bed-load transport in a series of well-controlled laboratory experiments are explored systematically and simulated by a stochastic model in this study. Flume experiments show that the leading front of bed-load on a 20-m-long, mixed-size gravel-bed moves anomalously, where the transient transport rate of the accelerating front varies with the observation time scale. In addition, observations show that moving particles may experience bimodal transport (i.e., coexistence of long trapping time and large jump length) related to bed coarsening and the formation of clusters on a heterogeneous gravel-bed, which is distinguished from the traditional theory of hiding–exposing interactions among mixed-size particles. A fractional derivative model is finally applied to characterize the overall behavior of partial bed-load transport, including the coexistence of the sub-diffusion and non-local feature caused by turbulence and the micro-relief within an armor layer.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.jhydrol.2014.11.064</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Anomalous transport Coarsening Computer simulation Derivatives Dynamical systems Fractional derivative Hydrology Partial bed-load transport Scale dependent Stochasticity Transport Trapping Turbulent flow |
title | Understanding partial bed-load transport: Experiments and stochastic model analysis |
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