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Harnessing advanced data analytics and data science for PFAS remediation

Watch and earn a PDH:

Project managers in this field are increasingly leveraging tools that enhance decision-making, streamline resource allocation and produce high-impact outputs like interactive dashboards and 3D visualizations. The U.S. Air Force Civil Engineer Center identified a critical need for such capabilities in its investigation of PFAS contamination at sites where aqueous film-forming foam was used. This session spotlights CDM Smith's Advanced Data Analytics and Forensic Framework (ADAFF) in action at Dover Air Force Base, currently undergoing the remedial investigation phase under CERCLA.

Discover how ADAFF integrates environmental sequence stratigraphy and the Trinnex's dataCAST™ platform to build conceptual site models that predict PFAS migration and visualize contaminant pathways.

Harnessing advanced data analytics and data science for PFAS remediation

Featured in this webinar

Speakers:

Nick Gonda, CDM Smith environmental scientist

Meet the panelists

Person with long hair in a black and white patterned shirt, standing in an office setting.

Tamzen Macbeth

Environmental Engineer

Tamzen is a remediation expert specializing in innovative, cost-effective strategies for cleaning up hazardous waste sites, from design to implementation.

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Josh Soper

Data Engineer

Josh is a data engineer with experience building automated data pipelines for SaaS tools that support the environmental engineering industry.

John Stults

Environmental Engineer

John excels in data analytics, statistical and numerical modeling, and experimental design, leveraging Python and other languages for advanced analysis.

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How do you design a PFAS treatability study?

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