A Model for Estimating the Impact of Orthophosphate on Copper in Water
The nature of copper phosphate minerals in drinking water distribution systems has remained largely unsolved despite being an important link to reducing cuprosolvency. Chemical equilibrium modeling has also largely failed to accurately predict soluble copper in the presence of orthophosphate. The ob...
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| Veröffentlicht in: | Journal - American Water Works Association 2018-10, Vol.110 (10), p.E1-E15 |
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| container_title | Journal - American Water Works Association |
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| creator | Lytle, Darren A. Schock, Michael R. Leo, Jordan Barnes, Benjamin |
| description | The nature of copper phosphate minerals in drinking water distribution systems has remained largely unsolved despite being an important link to reducing cuprosolvency. Chemical equilibrium modeling has also largely failed to accurately predict soluble copper in the presence of orthophosphate. The objective of this work was to develop and validate an empirical copper solubility model that considered pH, dissolved inorganic carbon (DIC), and orthophosphate from a series of bench‐scale copper precipitation experiments. An empirical model was constructed that allows for the determination of copper levels in a system given pH, DIC, and orthophosphate data. The predictive reliability of this model was assessed by evaluating a collection of cuprosolvency data from two decades of research and field observations and water treatment reports. The tests yielded a firm correlation between predicted and observed copper levels attested by a regression coefficient of 0.86 for a total of 851 observations. |
| doi_str_mv | 10.1002/awwa.1109 |
| format | Article |
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Chemical equilibrium modeling has also largely failed to accurately predict soluble copper in the presence of orthophosphate. The objective of this work was to develop and validate an empirical copper solubility model that considered pH, dissolved inorganic carbon (DIC), and orthophosphate from a series of bench‐scale copper precipitation experiments. An empirical model was constructed that allows for the determination of copper levels in a system given pH, DIC, and orthophosphate data. The predictive reliability of this model was assessed by evaluating a collection of cuprosolvency data from two decades of research and field observations and water treatment reports. 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Chemical equilibrium modeling has also largely failed to accurately predict soluble copper in the presence of orthophosphate. The objective of this work was to develop and validate an empirical copper solubility model that considered pH, dissolved inorganic carbon (DIC), and orthophosphate from a series of bench‐scale copper precipitation experiments. An empirical model was constructed that allows for the determination of copper levels in a system given pH, DIC, and orthophosphate data. The predictive reliability of this model was assessed by evaluating a collection of cuprosolvency data from two decades of research and field observations and water treatment reports. The tests yielded a firm correlation between predicted and observed copper levels attested by a regression coefficient of 0.86 for a total of 851 observations.</description><subject>Copper</subject><subject>corrosion</subject><subject>cuprosolvency</subject><subject>Dissolved inorganic carbon</subject><subject>Drinking water</subject><subject>Estimating techniques</subject><subject>Minerals</subject><subject>Orthophosphate</subject><subject>Phosphates</subject><subject>Precipitates</subject><subject>solubility</subject><subject>Water distribution</subject><subject>Water distribution systems</subject><subject>Water treatment</subject><issn>0003-150X</issn><issn>1551-8833</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kU1LAzEURYMoWj8W_gEJuNHF6HtJ5iMboZSqBaUbpe5CnMk4I9PJmEwt_ntTq6KCq_DyDoebXEIOEc4QgJ3r5VKfIYLcIAOMY4yyjPNNMgAAHmEMDztk1_vnMGKMYpvscJbwJGZyQC6H9NYWpqGldXTs-3qu-7p9on1l6GTe6byntqRT11e2q6zvKt0bals6sl1nHK1bOgs3bp9slbrx5uDz3CP3l-O70XV0M72ajIY3US4El1GZZ2nJZMkLyYEb4DoRgJCKVDMQDE2qMU0KiEvMTMHzTMgs12iK5FEmICXfIxdrb7d4nJsiN23vdKM6F3K7N2V1rX5v2rpST_ZVpZzLFOMgOPkUOPuyML5X89rnpml0a-zCKxZSiISLNAno8R_02S5cG56nGDKQ4XMzDNTpmsqd9d6Z8jsMglq1o1btqFU7gT36mf6b_KojAOdrYFk35u1_kxrOZsMP5TtHgJhB</recordid><startdate>201810</startdate><enddate>201810</enddate><creator>Lytle, Darren A.</creator><creator>Schock, Michael R.</creator><creator>Leo, Jordan</creator><creator>Barnes, Benjamin</creator><general>John Wiley & Sons, Inc</general><general>American Water Works Association</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H97</scope><scope>K9.</scope><scope>L.G</scope><scope>SOI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9248-6690</orcidid></search><sort><creationdate>201810</creationdate><title>A Model for Estimating the Impact of Orthophosphate on Copper in Water</title><author>Lytle, Darren A. ; Schock, Michael R. ; Leo, Jordan ; Barnes, Benjamin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4439-fc87f29f3d9303e03a64010747a20421e7a176d05f18ed3c8498ca1ed6b960993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Copper</topic><topic>corrosion</topic><topic>cuprosolvency</topic><topic>Dissolved inorganic carbon</topic><topic>Drinking water</topic><topic>Estimating techniques</topic><topic>Minerals</topic><topic>Orthophosphate</topic><topic>Phosphates</topic><topic>Precipitates</topic><topic>solubility</topic><topic>Water distribution</topic><topic>Water distribution systems</topic><topic>Water treatment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lytle, Darren A.</creatorcontrib><creatorcontrib>Schock, Michael R.</creatorcontrib><creatorcontrib>Leo, Jordan</creatorcontrib><creatorcontrib>Barnes, Benjamin</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment 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) 3: Aquatic Pollution & Environmental Quality</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal - American Water Works Association</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lytle, Darren A.</au><au>Schock, Michael R.</au><au>Leo, Jordan</au><au>Barnes, Benjamin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Model for Estimating the Impact of Orthophosphate on Copper in Water</atitle><jtitle>Journal - American Water Works Association</jtitle><addtitle>J Am Water Works Assoc</addtitle><date>2018-10</date><risdate>2018</risdate><volume>110</volume><issue>10</issue><spage>E1</spage><epage>E15</epage><pages>E1-E15</pages><issn>0003-150X</issn><eissn>1551-8833</eissn><abstract>The nature of copper phosphate minerals in drinking water distribution systems has remained largely unsolved despite being an important link to reducing cuprosolvency. Chemical equilibrium modeling has also largely failed to accurately predict soluble copper in the presence of orthophosphate. The objective of this work was to develop and validate an empirical copper solubility model that considered pH, dissolved inorganic carbon (DIC), and orthophosphate from a series of bench‐scale copper precipitation experiments. An empirical model was constructed that allows for the determination of copper levels in a system given pH, DIC, and orthophosphate data. The predictive reliability of this model was assessed by evaluating a collection of cuprosolvency data from two decades of research and field observations and water treatment reports. 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| subjects | Copper corrosion cuprosolvency Dissolved inorganic carbon Drinking water Estimating techniques Minerals Orthophosphate Phosphates Precipitates solubility Water distribution Water distribution systems Water treatment |
| title | A Model for Estimating the Impact of Orthophosphate on Copper in Water |
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