Updated: Apr 11, 2021
As part of its annual top 10 trends in water, Water Online included the use of statistical modeling for LSL inventory and replacement in its list for 2021. Given the importance of service line inventories in the Lead and Copper Rule revisions and increased public awareness about lead risks in drinking water, predictive modeling can be an important decision-support tool for utilities seeking to get the lead out of the ground as efficiently as possible.
Replacing lead service lines (LSLs) is a public health and infrastructure priority that can be a costly and time-consuming endeavor for municipalities. Statistical modeling allows for faster, more accurate identification of LSLs, equipping decision-makers with the information they need to plan and prioritize replacement work.