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

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

AWWA Water Sci

ORISE Postdoctoral Fellow at U.S. Environmental Protection Agency, ORD, CESER, WID, DWMB, Cincinnati, Ohio, USA.

Published: October 2021

AI Article Synopsis

  • Many water systems struggle to identify the type of service line material in homes, particularly when it comes to lead service lines (LSLs).
  • This research evaluated two sampling methods: a simpler flushed sampling and a more complex sequential profile sampling, to accurately predict the presence of LSLs in homes.
  • The findings showed that flushed sampling was effective, with 100% accuracy in one community with poor corrosion control, while the sequential profile method improved prediction rates from 60% to 100%, making it the most reliable approach for identifying LSLs.

Article Abstract

Many water systems are challenged with uncertainty regarding service line material type. This work investigated using a simple drinking water flushed sampling approach and a more complicated and invasive sequential profile sampling approach to predict whether homes had an existing lead service line (LSL). Homes that never had an LSL (control groups) and homes with LSLs (study groups) in two communities having different degrees of corrosion control were sampled. Using control groups' results, community-specific "threshold" lead levels were determined and compared to results from study groups. The flushed sampling maximum lead concentration (FMC) of lead accurately predicted 100% and 60% of LSL sites for the community with poor and good corrosion control, respectively. The weighted average sequential profile lead concentration (WASLC) increased the 40% not identified as LSL sites by fully flushed samples to 100%. The WASLC closely followed by the maximum sequential profile lead concentration were most reliable in identifying LSLs.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8686078PMC
http://dx.doi.org/10.1002/aws2.1255DOI Listing

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