Miscible Displacement of Zinc in Soil Columns: Linear and Nonlinear Modeling
Miscible displacement column experiments were performed to investigate the mobility of Zn in two different soils, Windsor (mixed, mesic Typic Udipsamment) and Webster (fine‐loamy, mixed, superactive, mesic Typic Endoaquoll). In the Webster soil, strong Zn retention was observed due to a higher perce...
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Veröffentlicht in: | Soil Science Society of America journal 2013-03, Vol.77 (2), p.391-402 |
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description | Miscible displacement column experiments were performed to investigate the mobility of Zn in two different soils, Windsor (mixed, mesic Typic Udipsamment) and Webster (fine‐loamy, mixed, superactive, mesic Typic Endoaquoll). In the Webster soil, strong Zn retention was observed due to a higher percentage of clay, organic matter, amorphous Fe and Al, and the presence of carbonates compared with Windsor soil. Observed Zn breakthrough curves (BTCs) were asymmetric and exhibited extensive retardation and slow desorption. The Webster soil exhibited limited Zn mobility, with only 14% recovery of Zn in the effluent solution, whereas considerable mobility was exhibited by Windsor, with 59% recovery. The Zn distribution with depth in the soil column showed that, for Windsor, Zn was retained within the surface layer and decreased with depth, whereas for Webster, a concentration maximum was observed below the soil surface. The presence of P in the Zn pulse solution increased the amount of Zn sorbed for the Windsor soil, whereas the opposite was observed for the Webster soil. Measured BTCs for P indicated higher P sorption for Windsor, with P recovery of 67%, than for Webster, with recovery of 85%. Simulations using a linear model with a first‐order irreversible reaction provided inadequate predictions of Zn BTCs. Therefore, the linear model is not recommended. Improved Zn predictions of the BTC were obtained when a multireaction and transport model (MRTM) was used. Nevertheless, the MRTM model, which accounted for nonlinear kinetic reversible and irreversible retention reactions, provided inadequate Zn BTC predictions for the Webster soil. There is a need for an improved MRTM model that accounts for the various retention mechanisms governing adsorption–desorption reactions during transport in soils. |
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M. ; Elbana, Tamer A. ; Zhao, Keli ; Xu, Jianming ; Fergusson, Eric L.</creator><creatorcontrib>Selim, H. M. ; Elbana, Tamer A. ; Zhao, Keli ; Xu, Jianming ; Fergusson, Eric L.</creatorcontrib><description>Miscible displacement column experiments were performed to investigate the mobility of Zn in two different soils, Windsor (mixed, mesic Typic Udipsamment) and Webster (fine‐loamy, mixed, superactive, mesic Typic Endoaquoll). In the Webster soil, strong Zn retention was observed due to a higher percentage of clay, organic matter, amorphous Fe and Al, and the presence of carbonates compared with Windsor soil. Observed Zn breakthrough curves (BTCs) were asymmetric and exhibited extensive retardation and slow desorption. The Webster soil exhibited limited Zn mobility, with only 14% recovery of Zn in the effluent solution, whereas considerable mobility was exhibited by Windsor, with 59% recovery. The Zn distribution with depth in the soil column showed that, for Windsor, Zn was retained within the surface layer and decreased with depth, whereas for Webster, a concentration maximum was observed below the soil surface. The presence of P in the Zn pulse solution increased the amount of Zn sorbed for the Windsor soil, whereas the opposite was observed for the Webster soil. Measured BTCs for P indicated higher P sorption for Windsor, with P recovery of 67%, than for Webster, with recovery of 85%. Simulations using a linear model with a first‐order irreversible reaction provided inadequate predictions of Zn BTCs. Therefore, the linear model is not recommended. Improved Zn predictions of the BTC were obtained when a multireaction and transport model (MRTM) was used. Nevertheless, the MRTM model, which accounted for nonlinear kinetic reversible and irreversible retention reactions, provided inadequate Zn BTC predictions for the Webster soil. There is a need for an improved MRTM model that accounts for the various retention mechanisms governing adsorption–desorption reactions during transport in soils.</description><identifier>ISSN: 0361-5995</identifier><identifier>EISSN: 1435-0661</identifier><identifier>DOI: 10.2136/sssaj2012.0329</identifier><identifier>CODEN: SSSJD4</identifier><language>eng</language><publisher>Madison: The Soil Science Society of America, Inc</publisher><subject>Adsorption ; Carbonates ; Computer simulation ; Confidence intervals ; Desorption ; Displacement ; Mathematical models ; Nonlinearity ; Organic matter ; Recovery ; Retention ; Soil (material) ; Soil columns ; Soil surfaces ; Soils ; Studies ; Transport ; Zinc</subject><ispartof>Soil Science Society of America journal, 2013-03, Vol.77 (2), p.391-402</ispartof><rights>Copyright © by the Soil Science Society of America, Inc.</rights><rights>Copyright American Society of Agronomy Mar 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3809-a4d8482b8e7d77e35c36ec9e196dd68eefdb21fd13b194debf78ff95ee7d2fa33</citedby><cites>FETCH-LOGICAL-a3809-a4d8482b8e7d77e35c36ec9e196dd68eefdb21fd13b194debf78ff95ee7d2fa33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.2136%2Fsssaj2012.0329$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.2136%2Fsssaj2012.0329$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27929,27930,45579,45580</link.rule.ids></links><search><creatorcontrib>Selim, H. M.</creatorcontrib><creatorcontrib>Elbana, Tamer A.</creatorcontrib><creatorcontrib>Zhao, Keli</creatorcontrib><creatorcontrib>Xu, Jianming</creatorcontrib><creatorcontrib>Fergusson, Eric L.</creatorcontrib><title>Miscible Displacement of Zinc in Soil Columns: Linear and Nonlinear Modeling</title><title>Soil Science Society of America journal</title><description>Miscible displacement column experiments were performed to investigate the mobility of Zn in two different soils, Windsor (mixed, mesic Typic Udipsamment) and Webster (fine‐loamy, mixed, superactive, mesic Typic Endoaquoll). In the Webster soil, strong Zn retention was observed due to a higher percentage of clay, organic matter, amorphous Fe and Al, and the presence of carbonates compared with Windsor soil. Observed Zn breakthrough curves (BTCs) were asymmetric and exhibited extensive retardation and slow desorption. The Webster soil exhibited limited Zn mobility, with only 14% recovery of Zn in the effluent solution, whereas considerable mobility was exhibited by Windsor, with 59% recovery. The Zn distribution with depth in the soil column showed that, for Windsor, Zn was retained within the surface layer and decreased with depth, whereas for Webster, a concentration maximum was observed below the soil surface. The presence of P in the Zn pulse solution increased the amount of Zn sorbed for the Windsor soil, whereas the opposite was observed for the Webster soil. Measured BTCs for P indicated higher P sorption for Windsor, with P recovery of 67%, than for Webster, with recovery of 85%. Simulations using a linear model with a first‐order irreversible reaction provided inadequate predictions of Zn BTCs. Therefore, the linear model is not recommended. Improved Zn predictions of the BTC were obtained when a multireaction and transport model (MRTM) was used. Nevertheless, the MRTM model, which accounted for nonlinear kinetic reversible and irreversible retention reactions, provided inadequate Zn BTC predictions for the Webster soil. There is a need for an improved MRTM model that accounts for the various retention mechanisms governing adsorption–desorption reactions during transport in soils.</description><subject>Adsorption</subject><subject>Carbonates</subject><subject>Computer simulation</subject><subject>Confidence intervals</subject><subject>Desorption</subject><subject>Displacement</subject><subject>Mathematical models</subject><subject>Nonlinearity</subject><subject>Organic matter</subject><subject>Recovery</subject><subject>Retention</subject><subject>Soil (material)</subject><subject>Soil columns</subject><subject>Soil surfaces</subject><subject>Soils</subject><subject>Studies</subject><subject>Transport</subject><subject>Zinc</subject><issn>0361-5995</issn><issn>1435-0661</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkUtLAzEUhYMoWB9b1wE3bqbmMclMBBdS37S6qG7chMzkRlLSpE5axH_v1IoLN93cF9-5cDgInVAyZJTL85yzmTFC2ZBwpnbQgJZcFERKuosGhEtaCKXEPjrIeUYIFYqQARpPfG59EwBf-7wIpoU5xCVODr_52GIf8TT5gEcprOYxX-Cxj2A6bKLFTymGzTZJFvrx_QjtORMyHP_2Q_R6e_Myui_Gz3cPo6txYXhNVGFKW5c1a2qobFUBFy2X0CqgSlorawBnG0adpbyhqrTQuKp2TgnoeeYM54fobPN30aWPFeSlnvcuIAQTIa2yppXggjAl6-2opFTySkjRo6f_0FladbE3omnJSl4KJmRPDTdU26WcO3B60fm56b40JXqdg_7LQa9z6AWXG8GnD_C1hdbTq0c2na5rf_rRfwO6xY2n</recordid><startdate>201303</startdate><enddate>201303</enddate><creator>Selim, H. M.</creator><creator>Elbana, Tamer A.</creator><creator>Zhao, Keli</creator><creator>Xu, Jianming</creator><creator>Fergusson, Eric L.</creator><general>The Soil Science Society of America, Inc</general><general>American Society of Agronomy</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7T7</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8AF</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M0K</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>S0X</scope><scope>SOI</scope><scope>KR7</scope></search><sort><creationdate>201303</creationdate><title>Miscible Displacement of Zinc in Soil Columns: Linear and Nonlinear Modeling</title><author>Selim, H. M. ; Elbana, Tamer A. ; Zhao, Keli ; Xu, Jianming ; Fergusson, Eric L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3809-a4d8482b8e7d77e35c36ec9e196dd68eefdb21fd13b194debf78ff95ee7d2fa33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adsorption</topic><topic>Carbonates</topic><topic>Computer simulation</topic><topic>Confidence intervals</topic><topic>Desorption</topic><topic>Displacement</topic><topic>Mathematical models</topic><topic>Nonlinearity</topic><topic>Organic matter</topic><topic>Recovery</topic><topic>Retention</topic><topic>Soil (material)</topic><topic>Soil columns</topic><topic>Soil surfaces</topic><topic>Soils</topic><topic>Studies</topic><topic>Transport</topic><topic>Zinc</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Selim, H. M.</creatorcontrib><creatorcontrib>Elbana, Tamer A.</creatorcontrib><creatorcontrib>Zhao, Keli</creatorcontrib><creatorcontrib>Xu, Jianming</creatorcontrib><creatorcontrib>Fergusson, Eric L.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Agricultural Science Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>SIRS Editorial</collection><collection>Environment Abstracts</collection><collection>Civil Engineering Abstracts</collection><jtitle>Soil Science Society of America journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Selim, H. M.</au><au>Elbana, Tamer A.</au><au>Zhao, Keli</au><au>Xu, Jianming</au><au>Fergusson, Eric L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Miscible Displacement of Zinc in Soil Columns: Linear and Nonlinear Modeling</atitle><jtitle>Soil Science Society of America journal</jtitle><date>2013-03</date><risdate>2013</risdate><volume>77</volume><issue>2</issue><spage>391</spage><epage>402</epage><pages>391-402</pages><issn>0361-5995</issn><eissn>1435-0661</eissn><coden>SSSJD4</coden><abstract>Miscible displacement column experiments were performed to investigate the mobility of Zn in two different soils, Windsor (mixed, mesic Typic Udipsamment) and Webster (fine‐loamy, mixed, superactive, mesic Typic Endoaquoll). In the Webster soil, strong Zn retention was observed due to a higher percentage of clay, organic matter, amorphous Fe and Al, and the presence of carbonates compared with Windsor soil. Observed Zn breakthrough curves (BTCs) were asymmetric and exhibited extensive retardation and slow desorption. The Webster soil exhibited limited Zn mobility, with only 14% recovery of Zn in the effluent solution, whereas considerable mobility was exhibited by Windsor, with 59% recovery. The Zn distribution with depth in the soil column showed that, for Windsor, Zn was retained within the surface layer and decreased with depth, whereas for Webster, a concentration maximum was observed below the soil surface. The presence of P in the Zn pulse solution increased the amount of Zn sorbed for the Windsor soil, whereas the opposite was observed for the Webster soil. Measured BTCs for P indicated higher P sorption for Windsor, with P recovery of 67%, than for Webster, with recovery of 85%. Simulations using a linear model with a first‐order irreversible reaction provided inadequate predictions of Zn BTCs. Therefore, the linear model is not recommended. Improved Zn predictions of the BTC were obtained when a multireaction and transport model (MRTM) was used. Nevertheless, the MRTM model, which accounted for nonlinear kinetic reversible and irreversible retention reactions, provided inadequate Zn BTC predictions for the Webster soil. There is a need for an improved MRTM model that accounts for the various retention mechanisms governing adsorption–desorption reactions during transport in soils.</abstract><cop>Madison</cop><pub>The Soil Science Society of America, Inc</pub><doi>10.2136/sssaj2012.0329</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adsorption Carbonates Computer simulation Confidence intervals Desorption Displacement Mathematical models Nonlinearity Organic matter Recovery Retention Soil (material) Soil columns Soil surfaces Soils Studies Transport Zinc |
title | Miscible Displacement of Zinc in Soil Columns: Linear and Nonlinear Modeling |
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