Prediction of Forever Chemical Concentrations in Drinking Water Treatment Systems

Project Overview

This PhD project addresses the challenge of PFAS (forever chemicals) in drinking water treatment. PFAS are micropollutants of increasing global concern due to potential health and environmental risks. Current treatment methods rely on Granular Activated Carbon (GAC) filters, but PFAS removal shortens regeneration cycles from years to months, increasing costs and operational pressures. The research will develop a mechanistic multicomponent model based on experimental data to predict PFAS breakthrough in GAC systems and enable water utilities to optimize filter use and compliance strategies.

What You Will Do

The candidate will produce experimental data characterizing PFAS removal in GAC systems, build a predictive model using this data, and validate the model with real treatment plant data. The project involves collaboration with multiple water utilities and access to advanced experimental facilities and training through the EPSRC Centre for Doctoral Training in Water Infrastructure and Resilience (WIRe).

Expected Outcomes

• Development of a validated predictive model for PFAS breakthrough in GAC filters
• Optimal regeneration frequency strategies reducing operating costs and monitoring burden
• Evidence-based approaches to future-proof water treatment assets in light of evolving PFAS regulations
• Contribution towards reducing carbon footprint and supporting sustainable management of water utilities

Why This Matters

PFAS pose a significant and growing regulatory and operational challenge for water utilities globally. This project directly supports cost-effective compliance with tightening environmental standards, reducing the environmental impact of water treatment processes while protecting public health. The developed tools and knowledge will assist utilities in making informed, evidence-based decisions in managing forever chemicals efficiently and sustainably.