Journal article 1203 views
An investigation into the representativeness of random daytime sampling for lead in drinking water, using computational modelling
Journal of Water Supply: Research and Technology—AQUA, Volume: 61, Issue: 3, Start page: 142
Swansea University Author:
Nick Croft
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DOI (Published version): 10.2166/aqua.2012.092
Abstract
An investigation into the representativeness of random daytime sampling for lead in drinking water, using computational modelling
Published in: | Journal of Water Supply: Research and Technology—AQUA |
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ISSN: | 0003-7214 |
Published: |
2012
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URI: | https://cronfa.swan.ac.uk/Record/cronfa13874 |
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<?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>AERO</deptcode><abstract></abstract><type>Journal Article</type><journal>Journal of Water Supply: Research and Technology—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 Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>AERO</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> |
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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 AERO 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 Engineering COLLEGE CODE AERO 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 |
|
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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 |
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active_str |
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published_date |
2012-12-31T03:15:52Z |
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1763750290450808832 |
score |
11.021648 |