Representation of vegetation and other nonerodible elements in aeolian shear stress partitioning models for predicting transport threshold
The presence of nonerodible elements is well understood to be a reducing factor for soil erosion by wind, but the limits of its protection of the surface and erosion threshold prediction are complicated by the varying geometry, spatial organization, and density of the elements. The predictive capabi...
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Veröffentlicht in: | Journal of Geophysical Research. F. Earth Surface 2005-12, Vol.110 (F4), p.F04015.1-n/a |
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description | The presence of nonerodible elements is well understood to be a reducing factor for soil erosion by wind, but the limits of its protection of the surface and erosion threshold prediction are complicated by the varying geometry, spatial organization, and density of the elements. The predictive capabilities of the most recent models for estimating wind driven particle fluxes are reduced because of the poor representation of the effectiveness of vegetation to reduce wind erosion. Two approaches have been taken to account for roughness effects on sediment transport thresholds. Marticorena and Bergametti (1995) in their dust emission model parameterize the effect of roughness on threshold with the assumption that there is a relationship between roughness density and the aerodynamic roughness length of a surface. Raupach et al. (1993) offer a different approach based on physical modeling of wake development behind individual roughness elements and the partition of the surface stress and the total stress over a roughened surface. A comparison between the models shows the partitioning approach to be a good framework to explain the effect of roughness on entrainment of sediment by wind. Both models provided very good agreement for wind tunnel experiments using solid objects on a nonerodible surface. However, the Marticorena and Bergametti (1995) approach displays a scaling dependency when the difference between the roughness length of the surface and the overall roughness length is too great, while the Raupach et al. (1993) model's predictions perform better owing to the incorporation of the roughness geometry and the alterations to the flow they can cause. |
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The predictive capabilities of the most recent models for estimating wind driven particle fluxes are reduced because of the poor representation of the effectiveness of vegetation to reduce wind erosion. Two approaches have been taken to account for roughness effects on sediment transport thresholds. Marticorena and Bergametti (1995) in their dust emission model parameterize the effect of roughness on threshold with the assumption that there is a relationship between roughness density and the aerodynamic roughness length of a surface. Raupach et al. (1993) offer a different approach based on physical modeling of wake development behind individual roughness elements and the partition of the surface stress and the total stress over a roughened surface. A comparison between the models shows the partitioning approach to be a good framework to explain the effect of roughness on entrainment of sediment by wind. Both models provided very good agreement for wind tunnel experiments using solid objects on a nonerodible surface. However, the Marticorena and Bergametti (1995) approach displays a scaling dependency when the difference between the roughness length of the surface and the overall roughness length is too great, while the Raupach et al. (1993) model's predictions perform better owing to the incorporation of the roughness geometry and the alterations to the flow they can cause.</description><identifier>ISSN: 0148-0227</identifier><identifier>EISSN: 2156-2202</identifier><identifier>DOI: 10.1029/2004JF000281</identifier><language>eng</language><publisher>Washington, DC: Blackwell Publishing Ltd</publisher><subject>dust emissions ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; shear stress partitioning models ; wind erosion</subject><ispartof>Journal of Geophysical Research. F. Earth Surface, 2005-12, Vol.110 (F4), p.F04015.1-n/a</ispartof><rights>Copyright 2005 by the American Geophysical Union.</rights><rights>2006 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a5657-efac461d834bd95d65f05389b9ddd2e17df19d3c16cf500d3b546e1b510b033c3</citedby><cites>FETCH-LOGICAL-a5657-efac461d834bd95d65f05389b9ddd2e17df19d3c16cf500d3b546e1b510b033c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2004JF000281$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2004JF000281$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,1427,11493,27901,27902,45550,45551,46384,46443,46808,46867</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17450238$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>King, James</creatorcontrib><creatorcontrib>Nickling, William G.</creatorcontrib><creatorcontrib>Gillies, John A.</creatorcontrib><title>Representation of vegetation and other nonerodible elements in aeolian shear stress partitioning models for predicting transport threshold</title><title>Journal of Geophysical Research. F. Earth Surface</title><addtitle>J. Geophys. Res</addtitle><description>The presence of nonerodible elements is well understood to be a reducing factor for soil erosion by wind, but the limits of its protection of the surface and erosion threshold prediction are complicated by the varying geometry, spatial organization, and density of the elements. The predictive capabilities of the most recent models for estimating wind driven particle fluxes are reduced because of the poor representation of the effectiveness of vegetation to reduce wind erosion. Two approaches have been taken to account for roughness effects on sediment transport thresholds. Marticorena and Bergametti (1995) in their dust emission model parameterize the effect of roughness on threshold with the assumption that there is a relationship between roughness density and the aerodynamic roughness length of a surface. Raupach et al. (1993) offer a different approach based on physical modeling of wake development behind individual roughness elements and the partition of the surface stress and the total stress over a roughened surface. A comparison between the models shows the partitioning approach to be a good framework to explain the effect of roughness on entrainment of sediment by wind. Both models provided very good agreement for wind tunnel experiments using solid objects on a nonerodible surface. However, the Marticorena and Bergametti (1995) approach displays a scaling dependency when the difference between the roughness length of the surface and the overall roughness length is too great, while the Raupach et al. (1993) model's predictions perform better owing to the incorporation of the roughness geometry and the alterations to the flow they can cause.</description><subject>dust emissions</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>shear stress partitioning models</subject><subject>wind erosion</subject><issn>0148-0227</issn><issn>2156-2202</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNqFkctuEzEUQC0EElHojg_wBlYMvX7NYwkRSRuiIipQl5ZnfKcxOONgu0B_ga_GUSJgRVeWrXOOLV9CnjN4zYB35xxArpcAwFv2iMw4U3XFOfDHZAZMthVw3jwlZyl9KQxIVUtgM_LrGvcRE07ZZBcmGkb6HW_xtDOTpSFvMdIpTBiDdb1Hih53RUjUFQKDd2aiaYsm0pRLK9G9idkdAm66pbtg0Sc6hkjLTdYN-XCao5nSPsRM87Y42-DtM_JkND7h2Wmdk8_Ld58WF9Xmw-py8WZTGVWrpsLRDLJmthWyt52ytRpBibbrO2stR9bYkXVWDKweRgVgRa9kjaxXDHoQYhBz8vLY3cfw7Q5T1juXBvTeTBjukuYd8Lrl_GGwhUY2onsYBNEp2bICvjqCQwwpRRz1PrqdifeagT5MUf87xYK_OHVNGowfy58NLv11GqmAi7Zw7Mj9cB7v_9vU69X1kpVXz0l1dFzK-POPY-JXXTeiUfrmaqU_bq4WF-u37_WN-A3U0bzL</recordid><startdate>200512</startdate><enddate>200512</enddate><creator>King, James</creator><creator>Nickling, William G.</creator><creator>Gillies, John A.</creator><general>Blackwell Publishing Ltd</general><general>American Geophysical Union</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>200512</creationdate><title>Representation of vegetation and other nonerodible elements in aeolian shear stress partitioning models for predicting transport threshold</title><author>King, James ; Nickling, William G. ; Gillies, John A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a5657-efac461d834bd95d65f05389b9ddd2e17df19d3c16cf500d3b546e1b510b033c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>dust emissions</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>shear stress partitioning models</topic><topic>wind erosion</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>King, James</creatorcontrib><creatorcontrib>Nickling, William G.</creatorcontrib><creatorcontrib>Gillies, John A.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</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><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of Geophysical Research. F. Earth Surface</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>King, James</au><au>Nickling, William G.</au><au>Gillies, John A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Representation of vegetation and other nonerodible elements in aeolian shear stress partitioning models for predicting transport threshold</atitle><jtitle>Journal of Geophysical Research. F. Earth Surface</jtitle><addtitle>J. Geophys. Res</addtitle><date>2005-12</date><risdate>2005</risdate><volume>110</volume><issue>F4</issue><spage>F04015.1</spage><epage>n/a</epage><pages>F04015.1-n/a</pages><issn>0148-0227</issn><eissn>2156-2202</eissn><abstract>The presence of nonerodible elements is well understood to be a reducing factor for soil erosion by wind, but the limits of its protection of the surface and erosion threshold prediction are complicated by the varying geometry, spatial organization, and density of the elements. The predictive capabilities of the most recent models for estimating wind driven particle fluxes are reduced because of the poor representation of the effectiveness of vegetation to reduce wind erosion. Two approaches have been taken to account for roughness effects on sediment transport thresholds. Marticorena and Bergametti (1995) in their dust emission model parameterize the effect of roughness on threshold with the assumption that there is a relationship between roughness density and the aerodynamic roughness length of a surface. Raupach et al. (1993) offer a different approach based on physical modeling of wake development behind individual roughness elements and the partition of the surface stress and the total stress over a roughened surface. A comparison between the models shows the partitioning approach to be a good framework to explain the effect of roughness on entrainment of sediment by wind. Both models provided very good agreement for wind tunnel experiments using solid objects on a nonerodible surface. However, the Marticorena and Bergametti (1995) approach displays a scaling dependency when the difference between the roughness length of the surface and the overall roughness length is too great, while the Raupach et al. 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subjects | dust emissions Earth sciences Earth, ocean, space Exact sciences and technology shear stress partitioning models wind erosion |
title | Representation of vegetation and other nonerodible elements in aeolian shear stress partitioning models for predicting transport threshold |
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