Photo Credit: Sellén and Filipovic AB
Accurately predicting the behaviour of PFAS remediation technologies remains a major challenge, and successfully predicting the effects and outcomes of our chosen remediation strategies is a cornerstone of PHISHES. By integrating knowledge of real soil samples with advanced modelling frameworks, PHISHES partners supported by the Swedish Geotechnical Institute (SGI) on-going governmental assignment are closing the gap between theory and practice, which will lead to more informed policy decisions.
Field Sampling and Site Context
SGI and BRGM have collaborated to collect undisturbed soil samples during November 2025 from a PFAS-contaminated fire-fighting training facility. This is also the focus of an ongoing large scale pilot test for colloidal activated carbon (CAC), which is a promising remediation technology for PFAS-contaminated groundwater. The site is extensively investigated and monitored through SGI’s ongoing governmental assignment regarding PFAS, financed through the Government of Sweden’s Grant no.1:4 for remediation and restoration of contaminated sites.
Laboratory Analyses and Modelling
Samples collected at the site at a depth of 0.2 to 0.5 mbgs as well as samples collected previously by SGI to a depth of 7 mbgs will be analysed at BRGM’s lab to provide vital information regarding how different remediation technologies will affect soil functions and key soil parameters. These investigations will not only enhance model reliability but also contribute to a deeper understanding of the impacts on soil functions resulting from remediation.
Analysing real-world samples under controlled conditions is just one of the unique synergies that were created by PHISHES and through coordination of the different project partners. Such activities strengthen modelling frameworks and support better-informed policy decisions, ultimately enhancing soil health and soil functions.
While this activity centres on PFAS-contaminated environments, it also serves as an important pilot case for the broader PHISHES goal: developing a digital platform that integrates modelling with soil functions across contaminants and soil systems.