Targeted sampling and 3D data interpretation provided a detailed understanding of PFAS distribution across multiple groundwater zones.

Project: PFAS Investigation, Superfund Site, NJ

Objectives:

  • Design and implement a sampling strategy to comply with NJDEP data request
  • Generate representative data that met data quality objectives

Services: Workplan development; Groundwater sampling; Treatment system effluent sampling; Data interpretation

Applied Science/Technologies: Integral PFAS Sampling Best Practices—Standard Operating Procedures; Low-flow groundwater sample collection; Integral NJ Certified Laboratory for Analyze Now parameters

Our team is helping an existing client comply with a New Jersey Department of Environmental Protection (NJDEP) request to contribute to a state-wide effort assessing PFAS impacts to drinking water supplies.

The project site has multiple operable units (OUs), one of which involves an operating groundwater remediation system to capture and treat multiple volatile and semi-volatile organic compounds across multiple water bearing zones. The remediation plan for this OU was approved and implemented many years ago and therefore did not contemplate PFAS as possible contaminants of concern.

Integral staff generated a workplan to address the sample collection protocols and data quality objectives in accordance with NJDEP technical regulations. Our existing knowledge of the aquifer characteristics and the fate and transport of the known compounds of concern at the site were used to develop a targeted sampling strategy that provided representative and meaningful data from strategically located monitoring wells across three distinct water bearing zones.

Initial sampling of groundwater for PFAS analysis involved several shallow, intermediate, and deep wells which were primarily located in, or adjacent to, known source areas at the Site. Based on the analytical results from these source areas, additional sampling was conducted from existing monitoring wells along the periphery of the site.

Our team compiled the data from the study and developed a three-dimensional view of PFAS distribution across the study area.