for Friday, Sept. 1, 2023

…audio…

1 – Artificial intelligence can improve monitoring for PFAS chemicals in Michigan drinking water. 

Newly published research from Michigan State University demonstrates how this can be done using machine learning, a branch of AI. 

Machine learning is designed to use data and algorithms to mimic the way humans learn, improving accuracy over time.

PFAS are a class of widely used chemicals that are now showing up in drinking water. The chemicals have been linked to human health problems, including cancer.

Using state data, the MSU team tested modeling techniques in Michigan that were used in other areas around the country, then refined the models. 

Researchers say the newly developed model will be a tool to help pinpoint high-risk areas, shape proactive measures and offer enhanced monitoring guidelines.

The findings were published in a journal called Water Research.

…

2 – The state recently announced $41.5 million in clean water grants to help communities upgrade water infrastructure to ensure healthy drinking water.

That includes more than $20 million to provide assistance to drinking water systems to remove or reduce PFAS or other contaminants. 

In August 2020, the Michigan Department of Environment, Great Lakes, and Energy established sampling requirements for seven PFAS compounds. 

The requirements apply to about 2,700 public drinking water supplies in Michigan.When the amount of a contaminant in drinking water is higher than maximum contaminant levels, the water supply must take action as outlined in the Safe Drinking Water Act. 

Those actions may include public notice, treatment to reduce the level of PFAS contaminants or additional testing.

– Mr. Great Lakes is heard Fridays at 9:30 a.m. in Bay City, Michigan, on Delta College Public Radio 90.1 FM (listen live). Follow @jeffkart on Twitter #MrGreatLakes

-30-