The impact of sampling approach and daily water usage on lead levels measured at the tap

•Lead in water from the LSL reached equilibrium after 7 to 15.5 h.•Sequential profiles accurately identified the LSL location.•Peak profile lead levels were a fraction of lead measured directly from the LSL.•RDT and manual composite sample lead levels were ≥ first draw lead levels.•Daily water usage...

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Published inWater research (Oxford) Vol. 197; no. C; p. 117071
Main Authors Lytle, Darren A., Formal, Casey, Cahalan, Kelly, Muhlen, Christy, Triantafyllidou, Simoni
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.06.2021
Elsevier
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Abstract •Lead in water from the LSL reached equilibrium after 7 to 15.5 h.•Sequential profiles accurately identified the LSL location.•Peak profile lead levels were a fraction of lead measured directly from the LSL.•RDT and manual composite sample lead levels were ≥ first draw lead levels.•Daily water usage impacted total lead levels; lower use increased lead. [Display omitted] There are many sampling approaches available for lead (Pb) in drinking water. Selecting the best approach for its intended use is critical. The objective of this work was to compare water Pb levels collected by multiple sampling approaches from a model home plumbing system (HPS) that included an old Pb service line (LSL), as a function of daily water usage. Specifically, flushed, direct LSL, sequential profile, random daytime (RDT), first draw, and manual composite samples were compared, and daily water usage rates ranged from 1.4 to 120 gallons/day (5.3–454.2 L/day). Pb levels in water collected directly from the LSL reached equilibrium after 7–15.5 h of stagnation, and approximately 55% of the equilibrium Pb concentration was reached after 2 h. Sequential sampling accurately identified the LSL; however, the peak profile Pb concentrations were a fraction of the Pb measured directly from the LSL. Daily water usage patterns greatly impacted total Pb levels in all water sampling approaches, although manual composite and RDT samples were more sensitive to changes. Manual composite and RDT samples were equal to or greater than first draw samples throughout the study, and differences grew larger as water usage decreased.
AbstractList •Lead in water from the LSL reached equilibrium after 7 to 15.5 h.•Sequential profiles accurately identified the LSL location.•Peak profile lead levels were a fraction of lead measured directly from the LSL.•RDT and manual composite sample lead levels were ≥ first draw lead levels.•Daily water usage impacted total lead levels; lower use increased lead. [Display omitted] There are many sampling approaches available for lead (Pb) in drinking water. Selecting the best approach for its intended use is critical. The objective of this work was to compare water Pb levels collected by multiple sampling approaches from a model home plumbing system (HPS) that included an old Pb service line (LSL), as a function of daily water usage. Specifically, flushed, direct LSL, sequential profile, random daytime (RDT), first draw, and manual composite samples were compared, and daily water usage rates ranged from 1.4 to 120 gallons/day (5.3–454.2 L/day). Pb levels in water collected directly from the LSL reached equilibrium after 7–15.5 h of stagnation, and approximately 55% of the equilibrium Pb concentration was reached after 2 h. Sequential sampling accurately identified the LSL; however, the peak profile Pb concentrations were a fraction of the Pb measured directly from the LSL. Daily water usage patterns greatly impacted total Pb levels in all water sampling approaches, although manual composite and RDT samples were more sensitive to changes. Manual composite and RDT samples were equal to or greater than first draw samples throughout the study, and differences grew larger as water usage decreased.
There are many sampling approaches available for lead (Pb) in drinking water. Selecting the best approach for its intended use is critical. The objective of this work was to compare water Pb levels collected by multiple sampling approaches from a model home plumbing system (HPS) that included an old Pb service line (LSL), as a function of daily water usage. Specifically, flushed, direct LSL, sequential profile, random daytime (RDT), first draw, and manual composite samples were compared, and daily water usage rates ranged from 1.4 to 120 gallons/day (5.3–454.2 L/day). Pb levels in water collected directly from the LSL reached equilibrium after 7–15.5 h of stagnation, and approximately 55% of the equilibrium Pb concentration was reached after 2 h. Sequential sampling accurately identified the LSL; however, the peak profile Pb concentrations were a fraction of the Pb measured directly from the LSL. Daily water usage patterns greatly impacted total Pb levels in all water sampling approaches, although manual composite and RDT samples were more sensitive to changes. Manual composite and RDT samples were equal to or greater than first draw samples throughout the study, and differences grew larger as water usage decreased.
There are many sampling approaches available for lead (Pb) in drinking water. Selecting the best approach for its intended use is critical. The objective of this work was to compare water Pb levels collected by multiple sampling approaches from a model home plumbing system (HPS) that included an old Pb service line (LSL), as a function of daily water usage. Specifically, flushed, direct LSL, sequential profile, random daytime (RDT), first draw, and manual composite samples were compared, and daily water usage rates ranged from 1.4 to 120 gallons/day (5.3-454.2 L/day). Pb levels in water collected directly from the LSL reached equilibrium after 7-15.5 h of stagnation, and approximately 55% of the equilibrium Pb concentration was reached after 2 h. Sequential sampling accurately identified the LSL; however, the peak profile Pb concentrations were a fraction of the Pb measured directly from the LSL. Daily water usage patterns greatly impacted total Pb levels in all water sampling approaches, although manual composite and RDT samples were more sensitive to changes. Manual composite and RDT samples were equal to or greater than first draw samples throughout the study, and differences grew larger as water usage decreased.
ArticleNumber 117071
Author Muhlen, Christy
Formal, Casey
Triantafyllidou, Simoni
Cahalan, Kelly
Lytle, Darren A.
AuthorAffiliation b Oak Ridge Associated Universities (ORAU) Student Services Contractor to the U.S. Environmental Protect Agency, Office of Research and Development, Center for Environmental Solutions & Emergency Response, Water Infrastructure Division, 26 W. Martin Luther King Dr. Cincinnati, Ohio 45268, United States
a U.S. Environmental Protect Agency, Office of Research and Development, Drinking Water Management Branch, Center for Environmental Solutions & Emergency Response, Water Infrastructure Division, 26 W. Martin Luther King Dr., Cincinnati, OH 45268, United States
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Keywords Lead
Drinking water
House
Sampling
Water usage
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  doi: 10.5942/jawwa.2012.104.0143
  contributor:
    fullname: Cartier
– year: 2019
  ident: 10.1016/j.watres.2021.117071_bib0051
  article-title: Diagnostic sampling tools for lead in drinking water
  contributor:
    fullname: Schock
SSID ssj0002239
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Snippet •Lead in water from the LSL reached equilibrium after 7 to 15.5 h.•Sequential profiles accurately identified the LSL location.•Peak profile lead levels were a...
There are many sampling approaches available for lead (Pb) in drinking water. Selecting the best approach for its intended use is critical. The objective of...
SourceID pubmedcentral
osti
crossref
pubmed
elsevier
SourceType Open Access Repository
Aggregation Database
Index Database
Publisher
StartPage 117071
SubjectTerms Drinking water
Drinking Water - analysis
House
Lead
Lead - analysis
Sampling
Water
Water Pollutants, Chemical - analysis
Water Quality
Water Supply
Water usage
Title The impact of sampling approach and daily water usage on lead levels measured at the tap
URI https://dx.doi.org/10.1016/j.watres.2021.117071
https://www.ncbi.nlm.nih.gov/pubmed/33799082
https://www.osti.gov/biblio/1815102
https://pubmed.ncbi.nlm.nih.gov/PMC8132970
Volume 197
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