This white paper explains how utilities can use data science and predictive modeling to improve lead service line inventories, prioritize replacements, and support more effective decision-making.
Milwaukee is one of the few cities in the country with a prioritization plan to ensure neighborhoods likely to suffer the most severe impacts from lead poisoning get their pipes replaced first. In consultation with a community-based group, Coalition for Lead Emergency (COLE), and following a public engagement process, Milwaukee included in an ordinance three indicators to prioritize where LSLs will be removed first:
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