Abstract
Remediation of per-and poly-fluoroalkyl substances (PFAS) is challenged with complexities of solutions, recalcitrance of end products and stringent, evolving regulations. Grouping, characterization and classification of PFAS compounds, environmental contaminations and treatment technologies through knowledge modelling has potential to overcome these challenges. Treatment technologies are often required to work in sequences, called treatment trains to achieve complete removal of PFAS from the environment i.e. a removal/separation stage followed by a degradation stage. Here, an ontology framework is presented to classify PFAS compounds and treatment technologies. Potential applications for the knowledge model to support decision making in environmental remediation and technology research and development is discussed.