How Microplastics Influence Health Risk Pathways in Urban Water Systems? Integrated Binary classification, Machine Learning and Structural Equation Modeling Approach

Summary

Researchers used data modeling and machine learning to trace how microplastics move through city water systems and connect to potential health risks. By combining several analysis methods, they were able to identify which factors most strongly link microplastic contamination to human exposure, offering a clearer roadmap for pinpointing where water treatment efforts should focus. This matters because it helps scientists and city planners target the biggest risks first, rather than guessing where microplastic pollution is most likely to affect the water you drink.