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pH and organic matter impact on the indices of soil metal load assessment under wastewater and biosolid reuse
BACKGROUND Experimental data were used to study the impact of pH and organic matter on soil pollution indices, with the view to express them as a function of the above two variables. RESULTS Data were from an experiment performed in a greenhouse using 12 wastewater and sludge treatment combinations...
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Published in: | Journal of chemical technology and biotechnology (1986) 2018-11, Vol.93 (11), p.3244-3253 |
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container_title | Journal of chemical technology and biotechnology (1986) |
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creator | Kalavrouziotis, Ioannis K Koukoulakis, Prodromos H Papaioannou, Dimitrios Mehra, Aradhana |
description | BACKGROUND
Experimental data were used to study the impact of pH and organic matter on soil pollution indices, with the view to express them as a function of the above two variables.
RESULTS
Data were from an experiment performed in a greenhouse using 12 wastewater and sludge treatment combinations in four replications, using Lactuca sative var Longifolia as a test plant. The experimental data were analyzed by means of linear multiple regression analysis, and the equations found were considered as revised forms for the calculation of pollution indices, which could be used as a tool for the assessment of the level of soil pollution by heavy metals.
CONCLUSION
Tentative critical levels of the pollution indices were established on the basis of the reference revised Index PLIn. However, additional work is necessary, such as calibration of the revised indices on the basis of percentage crop yield loss, towards a more accurate assessment of the heavy metal soil pollution levels. © 2018 Society of Chemical Industry |
doi_str_mv | 10.1002/jctb.5683 |
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Experimental data were used to study the impact of pH and organic matter on soil pollution indices, with the view to express them as a function of the above two variables.
RESULTS
Data were from an experiment performed in a greenhouse using 12 wastewater and sludge treatment combinations in four replications, using Lactuca sative var Longifolia as a test plant. The experimental data were analyzed by means of linear multiple regression analysis, and the equations found were considered as revised forms for the calculation of pollution indices, which could be used as a tool for the assessment of the level of soil pollution by heavy metals.
CONCLUSION
Tentative critical levels of the pollution indices were established on the basis of the reference revised Index PLIn. However, additional work is necessary, such as calibration of the revised indices on the basis of percentage crop yield loss, towards a more accurate assessment of the heavy metal soil pollution levels. © 2018 Society of Chemical Industry</description><identifier>ISSN: 0268-2575</identifier><identifier>EISSN: 1097-4660</identifier><identifier>DOI: 10.1002/jctb.5683</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Calibration ; Chemical pollution ; Crop yield ; Data processing ; Experimental data ; Heavy metals ; Mathematical analysis ; Multiple regression analysis ; Organic chemistry ; Organic loading ; Organic matter ; Organic soils ; pH effects ; Pollution ; pollution control ; Pollution index ; Pollution levels ; Sludge ; Sludge treatment ; Soil contamination ; Soil pollution ; Soils ; statistical design ; wastewater ; Wastewater reuse ; Wastewater treatment</subject><ispartof>Journal of chemical technology and biotechnology (1986), 2018-11, Vol.93 (11), p.3244-3253</ispartof><rights>2018 Society of Chemical Industry</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3693-4ad0c92c5a55054f6fe8b97b863a7f1c5a05d6a5ca3b85dbbf78e72a302bc3df3</citedby><cites>FETCH-LOGICAL-c3693-4ad0c92c5a55054f6fe8b97b863a7f1c5a05d6a5ca3b85dbbf78e72a302bc3df3</cites><orcidid>0000-0001-6862-6454</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Kalavrouziotis, Ioannis K</creatorcontrib><creatorcontrib>Koukoulakis, Prodromos H</creatorcontrib><creatorcontrib>Papaioannou, Dimitrios</creatorcontrib><creatorcontrib>Mehra, Aradhana</creatorcontrib><title>pH and organic matter impact on the indices of soil metal load assessment under wastewater and biosolid reuse</title><title>Journal of chemical technology and biotechnology (1986)</title><description>BACKGROUND
Experimental data were used to study the impact of pH and organic matter on soil pollution indices, with the view to express them as a function of the above two variables.
RESULTS
Data were from an experiment performed in a greenhouse using 12 wastewater and sludge treatment combinations in four replications, using Lactuca sative var Longifolia as a test plant. The experimental data were analyzed by means of linear multiple regression analysis, and the equations found were considered as revised forms for the calculation of pollution indices, which could be used as a tool for the assessment of the level of soil pollution by heavy metals.
CONCLUSION
Tentative critical levels of the pollution indices were established on the basis of the reference revised Index PLIn. However, additional work is necessary, such as calibration of the revised indices on the basis of percentage crop yield loss, towards a more accurate assessment of the heavy metal soil pollution levels. © 2018 Society of Chemical Industry</description><subject>Calibration</subject><subject>Chemical pollution</subject><subject>Crop yield</subject><subject>Data processing</subject><subject>Experimental data</subject><subject>Heavy metals</subject><subject>Mathematical analysis</subject><subject>Multiple regression analysis</subject><subject>Organic chemistry</subject><subject>Organic loading</subject><subject>Organic matter</subject><subject>Organic soils</subject><subject>pH effects</subject><subject>Pollution</subject><subject>pollution control</subject><subject>Pollution index</subject><subject>Pollution levels</subject><subject>Sludge</subject><subject>Sludge treatment</subject><subject>Soil contamination</subject><subject>Soil pollution</subject><subject>Soils</subject><subject>statistical design</subject><subject>wastewater</subject><subject>Wastewater reuse</subject><subject>Wastewater treatment</subject><issn>0268-2575</issn><issn>1097-4660</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kD1PwzAQhi0EEqUw8A8sMTGkdezacUaogIIqsZQ5uvgDXCVxsB1V_fcklJXppNPzPqd7EbrNySInhC73KtULLiQ7Q7OclEW2EoKcoxmhQmaUF_wSXcW4J4QIScUMtf0GQ6exD5_QOYVbSMkE7NoeVMK-w-nLYNdpp0zE3uLoXYNbk6DBjQeNIUYTY2u6hIdOj8kDxGQOMEkmb-189I3TOJghmmt0YaGJ5uZvztHH89Nuvcm27y-v64dtppgoWbYCTVRJFQfOCV9ZYY2sy6KWgkFh83FPuBbAFbBacl3XtpCmoMAIrRXTls3R3cnbB_89mJiqvR9CN56saJ6Pn8uCspG6P1Eq-BiDsVUfXAvhWOWkmtqspjarqc2RXZ7Yg2vM8X-welvvHn8TPy7seKk</recordid><startdate>201811</startdate><enddate>201811</enddate><creator>Kalavrouziotis, Ioannis K</creator><creator>Koukoulakis, Prodromos H</creator><creator>Papaioannou, Dimitrios</creator><creator>Mehra, Aradhana</creator><general>John Wiley & Sons, Ltd</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><orcidid>https://orcid.org/0000-0001-6862-6454</orcidid></search><sort><creationdate>201811</creationdate><title>pH and organic matter impact on the indices of soil metal load assessment under wastewater and biosolid reuse</title><author>Kalavrouziotis, Ioannis K ; Koukoulakis, Prodromos H ; Papaioannou, Dimitrios ; Mehra, Aradhana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3693-4ad0c92c5a55054f6fe8b97b863a7f1c5a05d6a5ca3b85dbbf78e72a302bc3df3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Calibration</topic><topic>Chemical pollution</topic><topic>Crop yield</topic><topic>Data processing</topic><topic>Experimental data</topic><topic>Heavy metals</topic><topic>Mathematical analysis</topic><topic>Multiple regression analysis</topic><topic>Organic chemistry</topic><topic>Organic loading</topic><topic>Organic matter</topic><topic>Organic soils</topic><topic>pH effects</topic><topic>Pollution</topic><topic>pollution control</topic><topic>Pollution index</topic><topic>Pollution levels</topic><topic>Sludge</topic><topic>Sludge treatment</topic><topic>Soil contamination</topic><topic>Soil pollution</topic><topic>Soils</topic><topic>statistical design</topic><topic>wastewater</topic><topic>Wastewater reuse</topic><topic>Wastewater treatment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kalavrouziotis, Ioannis K</creatorcontrib><creatorcontrib>Koukoulakis, Prodromos H</creatorcontrib><creatorcontrib>Papaioannou, Dimitrios</creatorcontrib><creatorcontrib>Mehra, Aradhana</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Journal of chemical technology and biotechnology (1986)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kalavrouziotis, Ioannis K</au><au>Koukoulakis, Prodromos H</au><au>Papaioannou, Dimitrios</au><au>Mehra, Aradhana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>pH and organic matter impact on the indices of soil metal load assessment under wastewater and biosolid reuse</atitle><jtitle>Journal of chemical technology and biotechnology (1986)</jtitle><date>2018-11</date><risdate>2018</risdate><volume>93</volume><issue>11</issue><spage>3244</spage><epage>3253</epage><pages>3244-3253</pages><issn>0268-2575</issn><eissn>1097-4660</eissn><abstract>BACKGROUND
Experimental data were used to study the impact of pH and organic matter on soil pollution indices, with the view to express them as a function of the above two variables.
RESULTS
Data were from an experiment performed in a greenhouse using 12 wastewater and sludge treatment combinations in four replications, using Lactuca sative var Longifolia as a test plant. The experimental data were analyzed by means of linear multiple regression analysis, and the equations found were considered as revised forms for the calculation of pollution indices, which could be used as a tool for the assessment of the level of soil pollution by heavy metals.
CONCLUSION
Tentative critical levels of the pollution indices were established on the basis of the reference revised Index PLIn. However, additional work is necessary, such as calibration of the revised indices on the basis of percentage crop yield loss, towards a more accurate assessment of the heavy metal soil pollution levels. © 2018 Society of Chemical Industry</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/jctb.5683</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-6862-6454</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Calibration Chemical pollution Crop yield Data processing Experimental data Heavy metals Mathematical analysis Multiple regression analysis Organic chemistry Organic loading Organic matter Organic soils pH effects Pollution pollution control Pollution index Pollution levels Sludge Sludge treatment Soil contamination Soil pollution Soils statistical design wastewater Wastewater reuse Wastewater treatment |
title | pH and organic matter impact on the indices of soil metal load assessment under wastewater and biosolid reuse |
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