Optimization arsenic immobilization in a sandy loam soil using iron-based amendments by response surface methodology
The survey of reports regarding high concentrations of arsenic in soils and groundwater around the world, which refers to increase of arsenic exposure to the living organisms, has been increased. In this research work arsenic immobilization process using three iron amendments (soluble Fe(II), zero-v...
Gespeichert in:
| Veröffentlicht in: | Geoderma 2014-11, Vol.232-234, p.547-555 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 555 |
|---|---|
| container_issue | |
| container_start_page | 547 |
| container_title | Geoderma |
| container_volume | 232-234 |
| creator | Naseri, Elham Reyhanitabar, Adel Oustan, Shahin Heydari, Ali Akbar Alidokht, Leila |
| description | The survey of reports regarding high concentrations of arsenic in soils and groundwater around the world, which refers to increase of arsenic exposure to the living organisms, has been increased. In this research work arsenic immobilization process using three iron amendments (soluble Fe(II), zero-valent iron (ZVI), and Fe (II)-modified zeolite (Fe-Z)) was modeled and optimized in a spiked soil by response surface methodology (RSM). Three factors including initial concentration of As(III) (20 to 580mgkg−1 of soil), amount of added Fe (0.5 to 2.5wt.% of soil for both Fe(II) and ZVI, 0.05 to 0.2wt.% of soil for loaded Fe on zeolite) and shaking time (15 to 960min) were selected as the independent factors on arsenic immobilization efficiency. The five-level central composite design (CCD) was used for experiment design and optimization model parameters. Variance analysis showed that CCD models were statistically significant for all amendments (p |
| doi_str_mv | 10.1016/j.geoderma.2014.06.009 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1642255314</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0016706114002390</els_id><sourcerecordid>1642255314</sourcerecordid><originalsourceid>FETCH-LOGICAL-a497t-8f247302a7cabb8c06cc1557da3436bce372b89fbc05eb51f440a66c70a1decc3</originalsourceid><addsrcrecordid>eNqFkU2P1DAMhiMEEsPAX0C5IHFpSdJ8tDfQii9ppb3AOXJTd8ioTYa4gzT8erKaXa57sCzbj23ZL2NvpWilkPbDsT1gnrCs0CohdStsK8TwjO1k71RjlRmes52oZOOElS_ZK6JjDZ1QYse2u9MW1_gXtpgTh0KYYuBxXfMYl8d0rBVOkKYLXzKsnHJc-JliOvBYcmpGIJw4rJimahvx8cIL0iknQk7nMkNAvuL2K095yYfLa_ZihoXwzYPfs59fPv-4-dbc3n39fvPptgE9uK3pZ6VdJxS4AOPYB2FDkMa4CTrd2TFg59TYD_MYhMHRyFlrAdYGJ0BOGEK3Z--vc08l_z4jbX6NFHBZIGE-k5dWK2VMJ_XTqDGD7QfjZEXtFQ0lExWc_anEFcrFS-HvFfFH_6iIv1fEC-urIrXx3cMOoADLXCCFSP-7VW-F0vXiPft45bD-5k_E4ilETAGnWDBsfsrxqVX_AE1up6o</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1559689571</pqid></control><display><type>article</type><title>Optimization arsenic immobilization in a sandy loam soil using iron-based amendments by response surface methodology</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Naseri, Elham ; Reyhanitabar, Adel ; Oustan, Shahin ; Heydari, Ali Akbar ; Alidokht, Leila</creator><creatorcontrib>Naseri, Elham ; Reyhanitabar, Adel ; Oustan, Shahin ; Heydari, Ali Akbar ; Alidokht, Leila</creatorcontrib><description>The survey of reports regarding high concentrations of arsenic in soils and groundwater around the world, which refers to increase of arsenic exposure to the living organisms, has been increased. In this research work arsenic immobilization process using three iron amendments (soluble Fe(II), zero-valent iron (ZVI), and Fe (II)-modified zeolite (Fe-Z)) was modeled and optimized in a spiked soil by response surface methodology (RSM). Three factors including initial concentration of As(III) (20 to 580mgkg−1 of soil), amount of added Fe (0.5 to 2.5wt.% of soil for both Fe(II) and ZVI, 0.05 to 0.2wt.% of soil for loaded Fe on zeolite) and shaking time (15 to 960min) were selected as the independent factors on arsenic immobilization efficiency. The five-level central composite design (CCD) was used for experiment design and optimization model parameters. Variance analysis showed that CCD models were statistically significant for all amendments (p<0.01) with high accuracy (R2=0.98 for Fe(II), R2=0.89 for ZVI and R2=0.92 for Fe-Z) in predicting As(III) immobilization. Optimization results showed that at 200mgAskg−1 soil and 600minute shaking time, the immobilization of As(III) with Fe(II), ZVI and Fe-Z was 90.6%, 92% and 81.4%, respectively. However ZVI was most effective amendment, but with negligible difference in immobilization As(III), Fe(II) is more economical. In conclusion Fe(II) was more efficient and cost-effective than ZVI and Fe-Z in long-term immobilization.</description><identifier>ISSN: 0016-7061</identifier><identifier>EISSN: 1872-6259</identifier><identifier>DOI: 10.1016/j.geoderma.2014.06.009</identifier><identifier>CODEN: GEDMAB</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Agronomy. Soil science and plant productions ; Arsenic ; Biological and medical sciences ; CCD ; Charge coupled devices ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; Immobilization ; Iron ; Mathematical models ; Optimization ; Response surface methodology ; Soil (material) ; Soil remediation ; Soils ; Surficial geology ; Zeolite</subject><ispartof>Geoderma, 2014-11, Vol.232-234, p.547-555</ispartof><rights>2014 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a497t-8f247302a7cabb8c06cc1557da3436bce372b89fbc05eb51f440a66c70a1decc3</citedby><cites>FETCH-LOGICAL-a497t-8f247302a7cabb8c06cc1557da3436bce372b89fbc05eb51f440a66c70a1decc3</cites><orcidid>0000-0002-2711-9285</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.geoderma.2014.06.009$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28602447$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Naseri, Elham</creatorcontrib><creatorcontrib>Reyhanitabar, Adel</creatorcontrib><creatorcontrib>Oustan, Shahin</creatorcontrib><creatorcontrib>Heydari, Ali Akbar</creatorcontrib><creatorcontrib>Alidokht, Leila</creatorcontrib><title>Optimization arsenic immobilization in a sandy loam soil using iron-based amendments by response surface methodology</title><title>Geoderma</title><description>The survey of reports regarding high concentrations of arsenic in soils and groundwater around the world, which refers to increase of arsenic exposure to the living organisms, has been increased. In this research work arsenic immobilization process using three iron amendments (soluble Fe(II), zero-valent iron (ZVI), and Fe (II)-modified zeolite (Fe-Z)) was modeled and optimized in a spiked soil by response surface methodology (RSM). Three factors including initial concentration of As(III) (20 to 580mgkg−1 of soil), amount of added Fe (0.5 to 2.5wt.% of soil for both Fe(II) and ZVI, 0.05 to 0.2wt.% of soil for loaded Fe on zeolite) and shaking time (15 to 960min) were selected as the independent factors on arsenic immobilization efficiency. The five-level central composite design (CCD) was used for experiment design and optimization model parameters. Variance analysis showed that CCD models were statistically significant for all amendments (p<0.01) with high accuracy (R2=0.98 for Fe(II), R2=0.89 for ZVI and R2=0.92 for Fe-Z) in predicting As(III) immobilization. Optimization results showed that at 200mgAskg−1 soil and 600minute shaking time, the immobilization of As(III) with Fe(II), ZVI and Fe-Z was 90.6%, 92% and 81.4%, respectively. However ZVI was most effective amendment, but with negligible difference in immobilization As(III), Fe(II) is more economical. In conclusion Fe(II) was more efficient and cost-effective than ZVI and Fe-Z in long-term immobilization.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Arsenic</subject><subject>Biological and medical sciences</subject><subject>CCD</subject><subject>Charge coupled devices</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Immobilization</subject><subject>Iron</subject><subject>Mathematical models</subject><subject>Optimization</subject><subject>Response surface methodology</subject><subject>Soil (material)</subject><subject>Soil remediation</subject><subject>Soils</subject><subject>Surficial geology</subject><subject>Zeolite</subject><issn>0016-7061</issn><issn>1872-6259</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkU2P1DAMhiMEEsPAX0C5IHFpSdJ8tDfQii9ppb3AOXJTd8ioTYa4gzT8erKaXa57sCzbj23ZL2NvpWilkPbDsT1gnrCs0CohdStsK8TwjO1k71RjlRmes52oZOOElS_ZK6JjDZ1QYse2u9MW1_gXtpgTh0KYYuBxXfMYl8d0rBVOkKYLXzKsnHJc-JliOvBYcmpGIJw4rJimahvx8cIL0iknQk7nMkNAvuL2K095yYfLa_ZihoXwzYPfs59fPv-4-dbc3n39fvPptgE9uK3pZ6VdJxS4AOPYB2FDkMa4CTrd2TFg59TYD_MYhMHRyFlrAdYGJ0BOGEK3Z--vc08l_z4jbX6NFHBZIGE-k5dWK2VMJ_XTqDGD7QfjZEXtFQ0lExWc_anEFcrFS-HvFfFH_6iIv1fEC-urIrXx3cMOoADLXCCFSP-7VW-F0vXiPft45bD-5k_E4ilETAGnWDBsfsrxqVX_AE1up6o</recordid><startdate>20141101</startdate><enddate>20141101</enddate><creator>Naseri, Elham</creator><creator>Reyhanitabar, Adel</creator><creator>Oustan, Shahin</creator><creator>Heydari, Ali Akbar</creator><creator>Alidokht, Leila</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TV</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><orcidid>https://orcid.org/0000-0002-2711-9285</orcidid></search><sort><creationdate>20141101</creationdate><title>Optimization arsenic immobilization in a sandy loam soil using iron-based amendments by response surface methodology</title><author>Naseri, Elham ; Reyhanitabar, Adel ; Oustan, Shahin ; Heydari, Ali Akbar ; Alidokht, Leila</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a497t-8f247302a7cabb8c06cc1557da3436bce372b89fbc05eb51f440a66c70a1decc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Arsenic</topic><topic>Biological and medical sciences</topic><topic>CCD</topic><topic>Charge coupled devices</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Immobilization</topic><topic>Iron</topic><topic>Mathematical models</topic><topic>Optimization</topic><topic>Response surface methodology</topic><topic>Soil (material)</topic><topic>Soil remediation</topic><topic>Soils</topic><topic>Surficial geology</topic><topic>Zeolite</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Naseri, Elham</creatorcontrib><creatorcontrib>Reyhanitabar, Adel</creatorcontrib><creatorcontrib>Oustan, Shahin</creatorcontrib><creatorcontrib>Heydari, Ali Akbar</creatorcontrib><creatorcontrib>Alidokht, Leila</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Pollution 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>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Geoderma</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Naseri, Elham</au><au>Reyhanitabar, Adel</au><au>Oustan, Shahin</au><au>Heydari, Ali Akbar</au><au>Alidokht, Leila</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization arsenic immobilization in a sandy loam soil using iron-based amendments by response surface methodology</atitle><jtitle>Geoderma</jtitle><date>2014-11-01</date><risdate>2014</risdate><volume>232-234</volume><spage>547</spage><epage>555</epage><pages>547-555</pages><issn>0016-7061</issn><eissn>1872-6259</eissn><coden>GEDMAB</coden><abstract>The survey of reports regarding high concentrations of arsenic in soils and groundwater around the world, which refers to increase of arsenic exposure to the living organisms, has been increased. In this research work arsenic immobilization process using three iron amendments (soluble Fe(II), zero-valent iron (ZVI), and Fe (II)-modified zeolite (Fe-Z)) was modeled and optimized in a spiked soil by response surface methodology (RSM). Three factors including initial concentration of As(III) (20 to 580mgkg−1 of soil), amount of added Fe (0.5 to 2.5wt.% of soil for both Fe(II) and ZVI, 0.05 to 0.2wt.% of soil for loaded Fe on zeolite) and shaking time (15 to 960min) were selected as the independent factors on arsenic immobilization efficiency. The five-level central composite design (CCD) was used for experiment design and optimization model parameters. Variance analysis showed that CCD models were statistically significant for all amendments (p<0.01) with high accuracy (R2=0.98 for Fe(II), R2=0.89 for ZVI and R2=0.92 for Fe-Z) in predicting As(III) immobilization. Optimization results showed that at 200mgAskg−1 soil and 600minute shaking time, the immobilization of As(III) with Fe(II), ZVI and Fe-Z was 90.6%, 92% and 81.4%, respectively. However ZVI was most effective amendment, but with negligible difference in immobilization As(III), Fe(II) is more economical. In conclusion Fe(II) was more efficient and cost-effective than ZVI and Fe-Z in long-term immobilization.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.geoderma.2014.06.009</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-2711-9285</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0016-7061 |
| ispartof | Geoderma, 2014-11, Vol.232-234, p.547-555 |
| issn | 0016-7061 1872-6259 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1642255314 |
| source | Elsevier ScienceDirect Journals Complete |
| subjects | Agronomy. Soil science and plant productions Arsenic Biological and medical sciences CCD Charge coupled devices Earth sciences Earth, ocean, space Exact sciences and technology Fundamental and applied biological sciences. Psychology Immobilization Iron Mathematical models Optimization Response surface methodology Soil (material) Soil remediation Soils Surficial geology Zeolite |
| title | Optimization arsenic immobilization in a sandy loam soil using iron-based amendments by response surface methodology |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T18%3A29%3A51IST&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=Optimization%20arsenic%20immobilization%20in%20a%20sandy%20loam%20soil%20using%20iron-based%20amendments%20by%20response%20surface%20methodology&rft.jtitle=Geoderma&rft.au=Naseri,%20Elham&rft.date=2014-11-01&rft.volume=232-234&rft.spage=547&rft.epage=555&rft.pages=547-555&rft.issn=0016-7061&rft.eissn=1872-6259&rft.coden=GEDMAB&rft_id=info:doi/10.1016/j.geoderma.2014.06.009&rft_dat=%3Cproquest_cross%3E1642255314%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=1559689571&rft_id=info:pmid/&rft_els_id=S0016706114002390&rfr_iscdi=true |