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An investigation into the representativeness of random daytime sampling for lead in drinking water, using computational modelling

C. R Hayes, T. N Croft, Nick Croft Orcid Logo

Journal of Water Supply: Research and Technology—AQUA, Volume: 61, Issue: 3, Start page: 142

Swansea University Author: Nick Croft Orcid Logo

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DOI (Published version): 10.2166/aqua.2012.092

Published in: Journal of Water Supply: Research and Technology—AQUA
ISSN: 0003-7214
Published: 2012
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URI: https://cronfa.swan.ac.uk/Record/cronfa13874
first_indexed 2013-07-23T12:11:12Z
last_indexed 2018-02-09T04:44:54Z
id cronfa13874
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2013-09-06T11:28:13.2989059</datestamp><bib-version>v2</bib-version><id>13874</id><entry>2013-09-03</entry><title>An investigation into the representativeness of random daytime sampling for lead in drinking water, using computational modelling</title><swanseaauthors><author><sid>8f82cd0b51f4b95b0dd6fa89427d9fc7</sid><ORCID>0000-0002-1521-5261</ORCID><firstname>Nick</firstname><surname>Croft</surname><name>Nick Croft</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2013-09-03</date><deptcode>ACEM</deptcode><abstract></abstract><type>Journal Article</type><journal>Journal of Water Supply: Research and Technology&#x2014;AQUA</journal><volume>61</volume><journalNumber>3</journalNumber><paginationStart>142</paginationStart><paginationEnd/><publisher/><placeOfPublication/><issnPrint>0003-7214</issnPrint><issnElectronic/><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2012</publishedYear><publishedDate>2012-12-31</publishedDate><doi>10.2166/aqua.2012.092</doi><url/><notes>This contribution relates to ongoing discussions with the US environmental protection agency and North American water companies and academics with respect to best practise for testing drinking water for metal, specifically lead, content. Most American testing is currently based on stagnation tests which give good information on the premises plumbing but little on the service line. As the service line tends to be the primary source of lead, random daytime testing is a better option. This paper demonstrates a computational tool that can be used in conjunction with sample taking to understand the behaviour of a pipe network.</notes><college>COLLEGE NANME</college><department>Aerospace, Civil, Electrical, and Mechanical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>ACEM</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2013-09-06T11:28:13.2989059</lastEdited><Created>2013-09-03T06:22:46.0000000</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering</level></path><authors><author><firstname>C. R</firstname><surname>Hayes</surname><order>1</order></author><author><firstname>T. N</firstname><surname>Croft</surname><order>2</order></author><author><firstname>Nick</firstname><surname>Croft</surname><orcid>0000-0002-1521-5261</orcid><order>3</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2013-09-06T11:28:13.2989059 v2 13874 2013-09-03 An investigation into the representativeness of random daytime sampling for lead in drinking water, using computational modelling 8f82cd0b51f4b95b0dd6fa89427d9fc7 0000-0002-1521-5261 Nick Croft Nick Croft true false 2013-09-03 ACEM Journal Article Journal of Water Supply: Research and Technology—AQUA 61 3 142 0003-7214 31 12 2012 2012-12-31 10.2166/aqua.2012.092 This contribution relates to ongoing discussions with the US environmental protection agency and North American water companies and academics with respect to best practise for testing drinking water for metal, specifically lead, content. Most American testing is currently based on stagnation tests which give good information on the premises plumbing but little on the service line. As the service line tends to be the primary source of lead, random daytime testing is a better option. This paper demonstrates a computational tool that can be used in conjunction with sample taking to understand the behaviour of a pipe network. COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2013-09-06T11:28:13.2989059 2013-09-03T06:22:46.0000000 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering C. R Hayes 1 T. N Croft 2 Nick Croft 0000-0002-1521-5261 3
title An investigation into the representativeness of random daytime sampling for lead in drinking water, using computational modelling
spellingShingle An investigation into the representativeness of random daytime sampling for lead in drinking water, using computational modelling
Nick Croft
title_short An investigation into the representativeness of random daytime sampling for lead in drinking water, using computational modelling
title_full An investigation into the representativeness of random daytime sampling for lead in drinking water, using computational modelling
title_fullStr An investigation into the representativeness of random daytime sampling for lead in drinking water, using computational modelling
title_full_unstemmed An investigation into the representativeness of random daytime sampling for lead in drinking water, using computational modelling
title_sort An investigation into the representativeness of random daytime sampling for lead in drinking water, using computational modelling
author_id_str_mv 8f82cd0b51f4b95b0dd6fa89427d9fc7
author_id_fullname_str_mv 8f82cd0b51f4b95b0dd6fa89427d9fc7_***_Nick Croft
author Nick Croft
author2 C. R Hayes
T. N Croft
Nick Croft
format Journal article
container_title Journal of Water Supply: Research and Technology—AQUA
container_volume 61
container_issue 3
container_start_page 142
publishDate 2012
institution Swansea University
issn 0003-7214
doi_str_mv 10.2166/aqua.2012.092
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering
document_store_str 0
active_str 0
published_date 2012-12-31T00:32:31Z
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score 11.064692

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