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How Microplastics Influence Health Risk Pathways in Urban Water Systems? Integrated Binary classification, Machine Learning and Structural Equation Modeling Approach
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Researchers used advanced computer modeling and statistical tools to trace how microplastics move through city water systems and identify what factors make them more likely to pose health risks. This matters because it helps pinpoint which sources of water pollution are riskiest, giving cities better tools to target cleanup efforts and protect drinking water before these tiny plastic particles reach our taps. While the exact health effects of microplastics are still being studied, this research helps build a clearer picture of our exposure risk.
This project has received funding from the European Union’s Horizon Europe research and innovation Program under the Marie Skłodowska-Curie grant Actions agreement No 101126655. The project is also partially supported in part by a research grant from the Scientific and Technological Research Council of Türkiye TÜBİTAK–ULAKBİM under the grant number 123C459.
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