PREDICTIVE MODELING OF CONTAMINATION

The Predictive Modeling Study collected and assessed all available and relevant water quality data to generate a model that describes the most likely future drinking water contamination events over the next 5-10 years.
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Final Report | Executive Summary

​Infographic | ​1-Minute Video

​Our Predictive Modeling study leverages comprehensive water quality datasets, including Environmental Protection Agency (EPA) Safe Drinking Water Information System (SDWIS) violation data and nationwide contamination reports from 2009 to 2019, to forecast likely drinking water contamination events over the next 5 to 10 years. The model identifies high-priority emerging contaminants, such as PFAS, lead, copper, arsenic, nitrates, disinfection byproducts, and microbial pathogens, and ranks them by health risk and exposure potential. It evaluates the role of point-of-use (POU) and point-of-entry (POE) treatment systems for mitigating these risks. 

Summaries and educational materials (toolkits, handouts, infographics, etc.) are publicly available resources, and the full scientific reports are free for Water Quality Association (WQA) members.

 ​If you are not a WQA member, please contact [email protected] to inquire about access to the full report(s) of interest.