As part of a robust PFAS monitoring strategy, EA is prioritising monitoring activity and using the resulting data to identify risks, target regulatory action, and support remediation, in line with the intent of this recommendation. The PFAS Plan outlines this work which and how we will work with relevant regulators across devolved governments as appropriate, to ensure a coherent and consistent approach to PFAS monitoring, enforcement and remediation across the UK. EA’s PFAS monitoring programme is a core component of the PFAS Plan and is being used to identify risks, prioritise regulatory action, and guide remediation efforts. Monitoring data are used to identify hotspots, assess trends, and inform riskbased prioritisation of regulatory interventions, including permit reviews and compliance action. EA operates one of the most comprehensive PFAS environmental monitoring programmes in the world. The PFAS Risk Screening Programme has provided a structured mechanism for combining monitoring data with information on potential source sites and sensitive environmental receptors. This has enabled the development of a national picture of the nature and extent of potential PFAS contamination across England, alongside a prioritised ranking of facilities requiring further assessment. The overarching aim is to support the targeted allocation of regulatory resources towards those sites where intervention is most likely to effectively address contamination risks. EA applies robust, scientifically grounded approaches to interpret PFAS monitoring data. Techniques such as Generalised Additive Models are used to identify longterm trends, spatial variability and seasonal patterns, while accounting for uneven sampling and data below detection limits. Grouping PFAS by structure and chain length enables coherent interpretation across a diverse set of substances. Interpretation is undertaken carefully, recognising methodological and environmental complexity. Results are considered alongside Environmental Quality Standards (EQS) and trends are interpreted in the context of relatively short monitoring periods, evolving networks and strong spatial variability linked to both point and diffuse sources. This approach provides clear but balanced insight into environmental behaviour and risk.