Literature DB >> 30952007

Sequential drinking water sampling as a tool for evaluating lead in flint, Michigan.

Darren A Lytle1, Michael R Schock2, Kory Wait2, Kelly Cahalan2, Valerie Bosscher3, Andrea Porter3, Miguel Del Toral3.   

Abstract

Eliminating the sources of human lead exposure is an ongoing public health goal. Identifying the make-up of household plumbing and service line material type is important for many reasons including understanding lead release sources and mechanisms, targeting locations for lead service line (LSL) removal, and assessing the effectiveness of lead remediation strategies. As part of the response to Flint, Michigan's drinking water lead public health crisis, a return to their original drinking water source (Lake Huron) and an increase in orthophosphate dose was implemented in late 2015. In 2016, EPA performed multiple rounds of sequential or "profiling" water sampling to evaluate corrosion control effectiveness and identify lead sources in homes and service lines, as well as to evaluate the effectiveness of corrosion control treatment with time on the different plumbing components. The results showed that lead levels, including high lead levels likely associated with particles, decreased with time in homes sampled during the 11-month evaluation period. Although sequential sampling indicated that brass fittings, brass fixtures, and galvanized pipes were lead sources, LSLs were the greatest source of lead when present. Following the removal of LSLs, the total mass of lead contributed to the drinking water decreased by 86% on average. Published by Elsevier Ltd.

Entities:  

Keywords:  Drinking water; Lead; Orthophosphate; sequential samples

Mesh:

Substances:

Year:  2019        PMID: 30952007      PMCID: PMC7350769          DOI: 10.1016/j.watres.2019.03.042

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  13 in total

1.  Detection and evaluation of elevated lead release from service lines: a field study.

Authors:  Miguel A Del Toral; Andrea Porter; Michael R Schock
Journal:  Environ Sci Technol       Date:  2013-08-02       Impact factor: 9.028

2.  Causes of temporal variability of lead in domestic plumbing systems.

Authors:  M R Schock
Journal:  Environ Monit Assess       Date:  1990-07       Impact factor: 2.513

3.  Impact of galvanic corrosion on lead release from aged lead service lines.

Authors:  Yin Wang; He Jing; Vrajesh Mehta; Gregory J Welter; Daniel E Giammar
Journal:  Water Res       Date:  2012-07-07       Impact factor: 11.236

4.  Profile sampling to characterize particulate lead risks in potable water.

Authors:  Brandi Clark; Sheldon Masters; Marc Edwards
Journal:  Environ Sci Technol       Date:  2014-06-06       Impact factor: 9.028

5.  Mineralogical Evidence of Galvanic Corrosion in Drinking Water Lead Pipe Joints.

Authors:  Michael K DeSantis; Simoni Triantafyllidou; Michael R Schock; Darren A Lytle
Journal:  Environ Sci Technol       Date:  2018-02-28       Impact factor: 9.028

6.  Low-level lead exposure and mortality in US adults: a population-based cohort study.

Authors:  Bruce P Lanphear; Stephen Rauch; Peggy Auinger; Ryan W Allen; Richard W Hornung
Journal:  Lancet Public Health       Date:  2018-03-12

7.  Continual Decrease in Blood Lead Level in Americans: United States National Health Nutrition and Examination Survey 1999-2014.

Authors:  Man-Fung Tsoi; Ching-Lung Cheung; Tommy Tsang Cheung; Bernard Man Yung Cheung
Journal:  Am J Med       Date:  2016-06-21       Impact factor: 4.965

8.  The decline in blood lead levels in the United States. The National Health and Nutrition Examination Surveys (NHANES)

Authors:  J L Pirkle; D J Brody; E W Gunter; R A Kramer; D C Paschal; K M Flegal; T D Matte
Journal:  JAMA       Date:  1994-07-27       Impact factor: 56.272

9.  Evaluating Water Lead Levels During the Flint Water Crisis.

Authors:  Kelsey J Pieper; Rebekah Martin; Min Tang; LeeAnne Walters; Jeffrey Parks; Siddhartha Roy; Christina Devine; Marc A Edwards
Journal:  Environ Sci Technol       Date:  2018-07-11       Impact factor: 9.028

10.  Effects of lead on the kidney: roles of high-affinity lead-binding proteins.

Authors:  B A Fowler; G DuVal
Journal:  Environ Health Perspect       Date:  1991-02       Impact factor: 9.031

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  6 in total

1.  Rapid and simple lead service line detection screening protocol using water sampling.

Authors:  Michael R Schock; Darren A Lytle; Ryan R James; Vivek Lal; Min Tang
Journal:  AWWA Water Sci       Date:  2021-10-27

2.  A national survey of lead and other metal(loids) in residential drinking water in the United States.

Authors:  Karen D Bradham; Clay M Nelson; Tyler D Sowers; Darren A Lytle; Jennifer Tully; Michael R Schock; Kevin Li; Matthew D Blackmon; Kasey Kovalcik; David Cox; Gary Dewalt; Warren Friedman; Eugene A Pinzer; Peter J Ashley
Journal:  J Expo Sci Environ Epidemiol       Date:  2022-08-19       Impact factor: 6.371

3.  Effectiveness of point-of-use and pitcher filters at removing lead phosphate nanoparticles from drinking water.

Authors:  Evelyne Doré; Casey Formal; Christy Muhlen; Daniel Williams; Stephen Harmon; Maily Pham; Simoni Triantafyllidou; Darren A Lytle
Journal:  Water Res       Date:  2021-05-25       Impact factor: 13.400

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

Authors:  Darren A Lytle; Casey Formal; Kelly Cahalan; Christy Muhlen; Simoni Triantafyllidou
Journal:  Water Res       Date:  2021-03-19       Impact factor: 13.400

5.  Tracking reduction of water lead levels in two homes during the Flint Federal Emergency.

Authors:  Anurag Mantha; Min Tang; Kelsey J Pieper; Jeffrey L Parks; Marc A Edwards
Journal:  Water Res X       Date:  2020-03-03

Review 6.  Variability and sampling of lead (Pb) in drinking water: Assessing potential human exposure depends on the sampling protocol.

Authors:  Simoni Triantafyllidou; Jonathan Burkhardt; Jennifer Tully; Kelly Cahalan; Michael DeSantis; Darren Lytle; Michael Schock
Journal:  Environ Int       Date:  2020-12-16       Impact factor: 9.621

  6 in total

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