Numerical modelling of turbidity currents in the Xiaolangdi reservoir, Yellow River, China
► Turbidity currents in a real reservoir are investigated using a process-resolving model. ► The model is well-balanced and explicitly accounts for the current-sediment interactions. ► Two turbidity current events are simulated to calibrate and validate the model. ► The current advance and transport...
Gespeichert in:
Veröffentlicht in: | Journal of hydrology (Amsterdam) 2012-09, Vol.464-465, p.41-53 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 53 |
---|---|
container_issue | |
container_start_page | 41 |
container_title | Journal of hydrology (Amsterdam) |
container_volume | 464-465 |
creator | Hu, Peng Cao, Zhixian Pender, Gareth Tan, Guangming |
description | ► Turbidity currents in a real reservoir are investigated using a process-resolving model. ► The model is well-balanced and explicitly accounts for the current-sediment interactions. ► Two turbidity current events are simulated to calibrate and validate the model. ► The current advance and transport rate are reproduced favourably well by the model. ► The model is a viable tool for determining the timing for operating bottom outlets.
Turbidity currents play a critical role in effective sediment and reservoir management in alluvial rivers. Yet previous estimations of reservoir turbidity currents are mostly based on simple empirical relations and it remains unclear how and to what extent physically based numerical models can resolve current evolution as compared against field observations. This paper presents a physically-based,process-resolved computational study of turbidity currents in the Xiaolangdi reservoir in the lower Yellow River, China. A coupled layer-averaged 2Dnumerical model is applied, which explicitly incorporates the interactions between the current, sediment transport and morphological evolution, and features a new well-balanced numerical scheme dealing with irregular topography. Two turbidity current events in July 2004 are numerically simulated to calibrate and validate the model. The current advance and the sediment transport rate computed by the model compare favourably with field measurements. These suggest the present model is a viable tool for determining the timing for operating the bottom outlets, which is critical for effective reservoir sediment management. The sediment entrainment flux and bed resistance are key factors dictating the evolution of turbidity current and warrant further investigations. |
doi_str_mv | 10.1016/j.jhydrol.2012.06.032 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1919966764</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0022169412005173</els_id><sourcerecordid>1919966764</sourcerecordid><originalsourceid>FETCH-LOGICAL-a428t-43a23809c0349487543d2dfef8828772148c72e4d5a1c5e9d07d2a280a4f55f93</originalsourceid><addsrcrecordid>eNqFkE1rGzEQhkVooG7Sn1DQpZBDdquv1cepBNM2gdBCSKDtRSjSbCyzXiXSroP_fWVses1choHnnRkehD5R0lJC5Zd1u17tQk5DywhlLZEt4ewELahWpmGKqHdoQQhjDZVGvEcfSlmTWpyLBfr7c95Ajt4NeJMCDEMcn3Dq8TTnxxjitMN-zhnGqeA44mkF-Hd0aXDjU4g4Q4G8TTFf4j81ml7xXdxCnZarOLpzdNq7ocDHYz9DD9-_3S-vm9tfP26WV7eNE0xPjeCOcU2MJ1wYoVUneGChh15rppViVGivGIjQOeo7MIGowBzTxIm-63rDz9DFYe9zTi8zlMluYvH1HzdCmoulhhojpZLibZQYLiRlVFa0O6A-p1Iy9PY5x43LuwrZvXa7tkftdq_dEmmr9pr7fDzhSrXaZzf6WP6HmRSEULXnvh44qGq2EbItPsLoIcQMfrIhxTcu_QM01ZpW</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1093461216</pqid></control><display><type>article</type><title>Numerical modelling of turbidity currents in the Xiaolangdi reservoir, Yellow River, China</title><source>ScienceDirect Freedom Collection (Elsevier)</source><creator>Hu, Peng ; Cao, Zhixian ; Pender, Gareth ; Tan, Guangming</creator><creatorcontrib>Hu, Peng ; Cao, Zhixian ; Pender, Gareth ; Tan, Guangming</creatorcontrib><description>► Turbidity currents in a real reservoir are investigated using a process-resolving model. ► The model is well-balanced and explicitly accounts for the current-sediment interactions. ► Two turbidity current events are simulated to calibrate and validate the model. ► The current advance and transport rate are reproduced favourably well by the model. ► The model is a viable tool for determining the timing for operating bottom outlets.
Turbidity currents play a critical role in effective sediment and reservoir management in alluvial rivers. Yet previous estimations of reservoir turbidity currents are mostly based on simple empirical relations and it remains unclear how and to what extent physically based numerical models can resolve current evolution as compared against field observations. This paper presents a physically-based,process-resolved computational study of turbidity currents in the Xiaolangdi reservoir in the lower Yellow River, China. A coupled layer-averaged 2Dnumerical model is applied, which explicitly incorporates the interactions between the current, sediment transport and morphological evolution, and features a new well-balanced numerical scheme dealing with irregular topography. Two turbidity current events in July 2004 are numerically simulated to calibrate and validate the model. The current advance and the sediment transport rate computed by the model compare favourably with field measurements. These suggest the present model is a viable tool for determining the timing for operating the bottom outlets, which is critical for effective reservoir sediment management. The sediment entrainment flux and bed resistance are key factors dictating the evolution of turbidity current and warrant further investigations.</description><identifier>ISSN: 0022-1694</identifier><identifier>EISSN: 1879-2707</identifier><identifier>DOI: 10.1016/j.jhydrol.2012.06.032</identifier><identifier>CODEN: JHYDA7</identifier><language>eng</language><publisher>Kidlington: Elsevier B.V</publisher><subject>China ; Coupled mathematical modelling ; Earth sciences ; Earth, ocean, space ; Evolution ; Exact sciences and technology ; Freshwater ; Hydrology ; Hydrology. Hydrogeology ; Management ; Marine and continental quaternary ; Mathematical models ; Reservoir management ; Reservoirs ; Rivers ; Sediment transport ; Sediments ; Surficial geology ; Turbidity ; Turbidity current ; Well-balanced numerical scheme ; Yellow River</subject><ispartof>Journal of hydrology (Amsterdam), 2012-09, Vol.464-465, p.41-53</ispartof><rights>2012 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a428t-43a23809c0349487543d2dfef8828772148c72e4d5a1c5e9d07d2a280a4f55f93</citedby><cites>FETCH-LOGICAL-a428t-43a23809c0349487543d2dfef8828772148c72e4d5a1c5e9d07d2a280a4f55f93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jhydrol.2012.06.032$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26400172$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Hu, Peng</creatorcontrib><creatorcontrib>Cao, Zhixian</creatorcontrib><creatorcontrib>Pender, Gareth</creatorcontrib><creatorcontrib>Tan, Guangming</creatorcontrib><title>Numerical modelling of turbidity currents in the Xiaolangdi reservoir, Yellow River, China</title><title>Journal of hydrology (Amsterdam)</title><description>► Turbidity currents in a real reservoir are investigated using a process-resolving model. ► The model is well-balanced and explicitly accounts for the current-sediment interactions. ► Two turbidity current events are simulated to calibrate and validate the model. ► The current advance and transport rate are reproduced favourably well by the model. ► The model is a viable tool for determining the timing for operating bottom outlets.
Turbidity currents play a critical role in effective sediment and reservoir management in alluvial rivers. Yet previous estimations of reservoir turbidity currents are mostly based on simple empirical relations and it remains unclear how and to what extent physically based numerical models can resolve current evolution as compared against field observations. This paper presents a physically-based,process-resolved computational study of turbidity currents in the Xiaolangdi reservoir in the lower Yellow River, China. A coupled layer-averaged 2Dnumerical model is applied, which explicitly incorporates the interactions between the current, sediment transport and morphological evolution, and features a new well-balanced numerical scheme dealing with irregular topography. Two turbidity current events in July 2004 are numerically simulated to calibrate and validate the model. The current advance and the sediment transport rate computed by the model compare favourably with field measurements. These suggest the present model is a viable tool for determining the timing for operating the bottom outlets, which is critical for effective reservoir sediment management. The sediment entrainment flux and bed resistance are key factors dictating the evolution of turbidity current and warrant further investigations.</description><subject>China</subject><subject>Coupled mathematical modelling</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Evolution</subject><subject>Exact sciences and technology</subject><subject>Freshwater</subject><subject>Hydrology</subject><subject>Hydrology. Hydrogeology</subject><subject>Management</subject><subject>Marine and continental quaternary</subject><subject>Mathematical models</subject><subject>Reservoir management</subject><subject>Reservoirs</subject><subject>Rivers</subject><subject>Sediment transport</subject><subject>Sediments</subject><subject>Surficial geology</subject><subject>Turbidity</subject><subject>Turbidity current</subject><subject>Well-balanced numerical scheme</subject><subject>Yellow River</subject><issn>0022-1694</issn><issn>1879-2707</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqFkE1rGzEQhkVooG7Sn1DQpZBDdquv1cepBNM2gdBCSKDtRSjSbCyzXiXSroP_fWVses1choHnnRkehD5R0lJC5Zd1u17tQk5DywhlLZEt4ewELahWpmGKqHdoQQhjDZVGvEcfSlmTWpyLBfr7c95Ajt4NeJMCDEMcn3Dq8TTnxxjitMN-zhnGqeA44mkF-Hd0aXDjU4g4Q4G8TTFf4j81ml7xXdxCnZarOLpzdNq7ocDHYz9DD9-_3S-vm9tfP26WV7eNE0xPjeCOcU2MJ1wYoVUneGChh15rppViVGivGIjQOeo7MIGowBzTxIm-63rDz9DFYe9zTi8zlMluYvH1HzdCmoulhhojpZLibZQYLiRlVFa0O6A-p1Iy9PY5x43LuwrZvXa7tkftdq_dEmmr9pr7fDzhSrXaZzf6WP6HmRSEULXnvh44qGq2EbItPsLoIcQMfrIhxTcu_QM01ZpW</recordid><startdate>20120925</startdate><enddate>20120925</enddate><creator>Hu, Peng</creator><creator>Cao, Zhixian</creator><creator>Pender, Gareth</creator><creator>Tan, Guangming</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>7QH</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>H97</scope><scope>L.G</scope></search><sort><creationdate>20120925</creationdate><title>Numerical modelling of turbidity currents in the Xiaolangdi reservoir, Yellow River, China</title><author>Hu, Peng ; Cao, Zhixian ; Pender, Gareth ; Tan, Guangming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a428t-43a23809c0349487543d2dfef8828772148c72e4d5a1c5e9d07d2a280a4f55f93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>China</topic><topic>Coupled mathematical modelling</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Evolution</topic><topic>Exact sciences and technology</topic><topic>Freshwater</topic><topic>Hydrology</topic><topic>Hydrology. Hydrogeology</topic><topic>Management</topic><topic>Marine and continental quaternary</topic><topic>Mathematical models</topic><topic>Reservoir management</topic><topic>Reservoirs</topic><topic>Rivers</topic><topic>Sediment transport</topic><topic>Sediments</topic><topic>Surficial geology</topic><topic>Turbidity</topic><topic>Turbidity current</topic><topic>Well-balanced numerical scheme</topic><topic>Yellow River</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Peng</creatorcontrib><creatorcontrib>Cao, Zhixian</creatorcontrib><creatorcontrib>Pender, Gareth</creatorcontrib><creatorcontrib>Tan, Guangming</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Aqualine</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>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Journal of hydrology (Amsterdam)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Peng</au><au>Cao, Zhixian</au><au>Pender, Gareth</au><au>Tan, Guangming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Numerical modelling of turbidity currents in the Xiaolangdi reservoir, Yellow River, China</atitle><jtitle>Journal of hydrology (Amsterdam)</jtitle><date>2012-09-25</date><risdate>2012</risdate><volume>464-465</volume><spage>41</spage><epage>53</epage><pages>41-53</pages><issn>0022-1694</issn><eissn>1879-2707</eissn><coden>JHYDA7</coden><abstract>► Turbidity currents in a real reservoir are investigated using a process-resolving model. ► The model is well-balanced and explicitly accounts for the current-sediment interactions. ► Two turbidity current events are simulated to calibrate and validate the model. ► The current advance and transport rate are reproduced favourably well by the model. ► The model is a viable tool for determining the timing for operating bottom outlets.
Turbidity currents play a critical role in effective sediment and reservoir management in alluvial rivers. Yet previous estimations of reservoir turbidity currents are mostly based on simple empirical relations and it remains unclear how and to what extent physically based numerical models can resolve current evolution as compared against field observations. This paper presents a physically-based,process-resolved computational study of turbidity currents in the Xiaolangdi reservoir in the lower Yellow River, China. A coupled layer-averaged 2Dnumerical model is applied, which explicitly incorporates the interactions between the current, sediment transport and morphological evolution, and features a new well-balanced numerical scheme dealing with irregular topography. Two turbidity current events in July 2004 are numerically simulated to calibrate and validate the model. The current advance and the sediment transport rate computed by the model compare favourably with field measurements. These suggest the present model is a viable tool for determining the timing for operating the bottom outlets, which is critical for effective reservoir sediment management. The sediment entrainment flux and bed resistance are key factors dictating the evolution of turbidity current and warrant further investigations.</abstract><cop>Kidlington</cop><pub>Elsevier B.V</pub><doi>10.1016/j.jhydrol.2012.06.032</doi><tpages>13</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0022-1694 |
ispartof | Journal of hydrology (Amsterdam), 2012-09, Vol.464-465, p.41-53 |
issn | 0022-1694 1879-2707 |
language | eng |
recordid | cdi_proquest_miscellaneous_1919966764 |
source | ScienceDirect Freedom Collection (Elsevier) |
subjects | China Coupled mathematical modelling Earth sciences Earth, ocean, space Evolution Exact sciences and technology Freshwater Hydrology Hydrology. Hydrogeology Management Marine and continental quaternary Mathematical models Reservoir management Reservoirs Rivers Sediment transport Sediments Surficial geology Turbidity Turbidity current Well-balanced numerical scheme Yellow River |
title | Numerical modelling of turbidity currents in the Xiaolangdi reservoir, Yellow River, China |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T06%3A56%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Numerical%20modelling%20of%20turbidity%20currents%20in%20the%20Xiaolangdi%20reservoir,%20Yellow%20River,%20China&rft.jtitle=Journal%20of%20hydrology%20(Amsterdam)&rft.au=Hu,%20Peng&rft.date=2012-09-25&rft.volume=464-465&rft.spage=41&rft.epage=53&rft.pages=41-53&rft.issn=0022-1694&rft.eissn=1879-2707&rft.coden=JHYDA7&rft_id=info:doi/10.1016/j.jhydrol.2012.06.032&rft_dat=%3Cproquest_cross%3E1919966764%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1093461216&rft_id=info:pmid/&rft_els_id=S0022169412005173&rfr_iscdi=true |