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This thesis presents a model-based methodology for risk-based decision-making regarding trihalomethanes (THMs) in drinking water, focusing on their formation and associated health risks. It identifies key parameters influencing THM formation and develops predictive models, which are integrated into a decision-making framework that evaluates treatment options based on multiple criteria. The findings aim to enhance environmental decision-making processes and assist in upgrading water supply systems while comp

Author

22ql22

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EN