Material- and Site-Specific Partition Coefficients for Beneficial Use Assessments
Partition coefficient (K d) values available in the literature are often used in fate and transport modeling conducted as part of beneficial use risk assessments for industrial byproducts. Because element partitioning depends on soil properties as well as characteristics of the byproduct leachate, s...
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Veröffentlicht in: | Environmental science & technology 2019-08, Vol.53 (16), p.9626-9635 |
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description | Partition coefficient (K d) values available in the literature are often used in fate and transport modeling conducted as part of beneficial use risk assessments for industrial byproducts. Because element partitioning depends on soil properties as well as characteristics of the byproduct leachate, site-specific K d values may lead to more accurate risk assessment. In this study, contamination risk to groundwater of beneficially reused byproducts was assessed using batch leaching tests on waste to energy bottom ash and coal combustion fly ash. Leachates were equilibrated with eight different soils to obtain the waste–soil-specific K d,exp values for the metals of interest. The K d,exp values were used as inputs in the Industrial Waste Management Evaluation Model to demonstrate the degree to which K d estimates affect risk assessment outcomes. Measured K d,exp values for the most part fell within the large range of K d values reported in the literature, but IWEM results using default K d values for some types of soils resulted in overestimated risk compared to those derived from K d,exp values. Modeled concentration at the receptor location was much lower for some elements for those soils with high concentrations of iron and aluminum. |
doi_str_mv | 10.1021/acs.est.9b01756 |
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Because element partitioning depends on soil properties as well as characteristics of the byproduct leachate, site-specific K d values may lead to more accurate risk assessment. In this study, contamination risk to groundwater of beneficially reused byproducts was assessed using batch leaching tests on waste to energy bottom ash and coal combustion fly ash. Leachates were equilibrated with eight different soils to obtain the waste–soil-specific K d,exp values for the metals of interest. The K d,exp values were used as inputs in the Industrial Waste Management Evaluation Model to demonstrate the degree to which K d estimates affect risk assessment outcomes. Measured K d,exp values for the most part fell within the large range of K d values reported in the literature, but IWEM results using default K d values for some types of soils resulted in overestimated risk compared to those derived from K d,exp values. Modeled concentration at the receptor location was much lower for some elements for those soils with high concentrations of iron and aluminum.</description><identifier>ISSN: 0013-936X</identifier><identifier>EISSN: 1520-5851</identifier><identifier>DOI: 10.1021/acs.est.9b01756</identifier><identifier>PMID: 31356749</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Aluminum ; Beneficial use ; By products ; Byproducts ; Chemical partition ; Contamination ; Fly ash ; Groundwater ; Groundwater pollution ; Heavy metals ; Industrial wastes ; Iron ; Leachates ; Leaching ; Partitions ; Risk assessment ; Soil contamination ; Soil properties ; Soils ; Waste management ; Waste to energy</subject><ispartof>Environmental science & technology, 2019-08, Vol.53 (16), p.9626-9635</ispartof><rights>Copyright American Chemical Society Aug 20, 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a398t-12889c069fd3b6eea34848fc9056b79212c88ad2b068d1107d2c923e5e378de93</citedby><cites>FETCH-LOGICAL-a398t-12889c069fd3b6eea34848fc9056b79212c88ad2b068d1107d2c923e5e378de93</cites><orcidid>0000-0002-1222-0954 ; 0000-0002-5595-1300</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acs.est.9b01756$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acs.est.9b01756$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,780,784,2763,27075,27923,27924,56737,56787</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31356749$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Blaisi, Nawaf I</creatorcontrib><creatorcontrib>Clavier, Kyle A</creatorcontrib><creatorcontrib>Roessler, Justin G</creatorcontrib><creatorcontrib>Chung, Jaeshik</creatorcontrib><creatorcontrib>Townsend, Timothy G</creatorcontrib><creatorcontrib>Al-Abed, Souhail R</creatorcontrib><creatorcontrib>Bonzongo, Jean-Claude J</creatorcontrib><title>Material- and Site-Specific Partition Coefficients for Beneficial Use Assessments</title><title>Environmental science & technology</title><addtitle>Environ. Sci. Technol</addtitle><description>Partition coefficient (K d) values available in the literature are often used in fate and transport modeling conducted as part of beneficial use risk assessments for industrial byproducts. Because element partitioning depends on soil properties as well as characteristics of the byproduct leachate, site-specific K d values may lead to more accurate risk assessment. In this study, contamination risk to groundwater of beneficially reused byproducts was assessed using batch leaching tests on waste to energy bottom ash and coal combustion fly ash. Leachates were equilibrated with eight different soils to obtain the waste–soil-specific K d,exp values for the metals of interest. The K d,exp values were used as inputs in the Industrial Waste Management Evaluation Model to demonstrate the degree to which K d estimates affect risk assessment outcomes. Measured K d,exp values for the most part fell within the large range of K d values reported in the literature, but IWEM results using default K d values for some types of soils resulted in overestimated risk compared to those derived from K d,exp values. Modeled concentration at the receptor location was much lower for some elements for those soils with high concentrations of iron and aluminum.</description><subject>Aluminum</subject><subject>Beneficial use</subject><subject>By products</subject><subject>Byproducts</subject><subject>Chemical partition</subject><subject>Contamination</subject><subject>Fly ash</subject><subject>Groundwater</subject><subject>Groundwater pollution</subject><subject>Heavy metals</subject><subject>Industrial wastes</subject><subject>Iron</subject><subject>Leachates</subject><subject>Leaching</subject><subject>Partitions</subject><subject>Risk assessment</subject><subject>Soil contamination</subject><subject>Soil properties</subject><subject>Soils</subject><subject>Waste management</subject><subject>Waste to energy</subject><issn>0013-936X</issn><issn>1520-5851</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kM1LwzAYh4Mobk7P3iTgRZBu-WjT5DiHXzBRmQNvJU3fQkY_ZtIe_O9N2dxBkBwCb57f7w0PQpeUTClhdKaNn4LvpionNE3EERrThJEokQk9RmNCKI8UF58jdOb9hhDCOJGnaMQpT0QaqzF6f9EdOKurCOumwCvbQbTagrGlNfhNu852tm3wooUyTCw0ncdl6_AdNDAMdIXXHvDce_C-Hp7P0UmpKw8X-3uC1g_3H4unaPn6-LyYLyPNlewiyqRUhghVFjwXAJrHMpalUSQReaoYZUZKXbCcCFlQStKCGcU4JMBTWYDiE3Sz69269qsPErLaegNVpRtoe58xJlJCY6FoQK__oJu2d034XaBSFU5QE6jZjjKu9d5BmW2drbX7zijJBttZsJ0N6b3tkLja9_Z5DcWB_9UbgNsdMCQPO_-r-wFzKIk3</recordid><startdate>20190820</startdate><enddate>20190820</enddate><creator>Blaisi, Nawaf I</creator><creator>Clavier, Kyle A</creator><creator>Roessler, Justin G</creator><creator>Chung, Jaeshik</creator><creator>Townsend, Timothy G</creator><creator>Al-Abed, Souhail R</creator><creator>Bonzongo, Jean-Claude J</creator><general>American Chemical Society</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7ST</scope><scope>7T7</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-1222-0954</orcidid><orcidid>https://orcid.org/0000-0002-5595-1300</orcidid></search><sort><creationdate>20190820</creationdate><title>Material- and Site-Specific Partition Coefficients for Beneficial Use Assessments</title><author>Blaisi, Nawaf I ; Clavier, Kyle A ; Roessler, Justin G ; Chung, Jaeshik ; Townsend, Timothy G ; Al-Abed, Souhail R ; Bonzongo, Jean-Claude J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a398t-12889c069fd3b6eea34848fc9056b79212c88ad2b068d1107d2c923e5e378de93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aluminum</topic><topic>Beneficial use</topic><topic>By products</topic><topic>Byproducts</topic><topic>Chemical partition</topic><topic>Contamination</topic><topic>Fly ash</topic><topic>Groundwater</topic><topic>Groundwater pollution</topic><topic>Heavy metals</topic><topic>Industrial wastes</topic><topic>Iron</topic><topic>Leachates</topic><topic>Leaching</topic><topic>Partitions</topic><topic>Risk assessment</topic><topic>Soil contamination</topic><topic>Soil properties</topic><topic>Soils</topic><topic>Waste management</topic><topic>Waste to energy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Blaisi, Nawaf I</creatorcontrib><creatorcontrib>Clavier, Kyle A</creatorcontrib><creatorcontrib>Roessler, Justin G</creatorcontrib><creatorcontrib>Chung, Jaeshik</creatorcontrib><creatorcontrib>Townsend, Timothy G</creatorcontrib><creatorcontrib>Al-Abed, Souhail R</creatorcontrib><creatorcontrib>Bonzongo, Jean-Claude J</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Environmental science & technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Blaisi, Nawaf I</au><au>Clavier, Kyle A</au><au>Roessler, Justin G</au><au>Chung, Jaeshik</au><au>Townsend, Timothy G</au><au>Al-Abed, Souhail R</au><au>Bonzongo, Jean-Claude J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Material- and Site-Specific Partition Coefficients for Beneficial Use Assessments</atitle><jtitle>Environmental science & technology</jtitle><addtitle>Environ. Sci. Technol</addtitle><date>2019-08-20</date><risdate>2019</risdate><volume>53</volume><issue>16</issue><spage>9626</spage><epage>9635</epage><pages>9626-9635</pages><issn>0013-936X</issn><eissn>1520-5851</eissn><abstract>Partition coefficient (K d) values available in the literature are often used in fate and transport modeling conducted as part of beneficial use risk assessments for industrial byproducts. Because element partitioning depends on soil properties as well as characteristics of the byproduct leachate, site-specific K d values may lead to more accurate risk assessment. In this study, contamination risk to groundwater of beneficially reused byproducts was assessed using batch leaching tests on waste to energy bottom ash and coal combustion fly ash. Leachates were equilibrated with eight different soils to obtain the waste–soil-specific K d,exp values for the metals of interest. The K d,exp values were used as inputs in the Industrial Waste Management Evaluation Model to demonstrate the degree to which K d estimates affect risk assessment outcomes. Measured K d,exp values for the most part fell within the large range of K d values reported in the literature, but IWEM results using default K d values for some types of soils resulted in overestimated risk compared to those derived from K d,exp values. Modeled concentration at the receptor location was much lower for some elements for those soils with high concentrations of iron and aluminum.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>31356749</pmid><doi>10.1021/acs.est.9b01756</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-1222-0954</orcidid><orcidid>https://orcid.org/0000-0002-5595-1300</orcidid></addata></record> |
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subjects | Aluminum Beneficial use By products Byproducts Chemical partition Contamination Fly ash Groundwater Groundwater pollution Heavy metals Industrial wastes Iron Leachates Leaching Partitions Risk assessment Soil contamination Soil properties Soils Waste management Waste to energy |
title | Material- and Site-Specific Partition Coefficients for Beneficial Use Assessments |
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