Superfund and Technology Liason
U.S. EPA Office of Research and Development, Region 8 Denver, CO
Stephen Dyment is a chemist with more than 20 years of experience including 4 years in a commercial analytical laboratory and 8 years in environmental consulting. He joined EPA in 2005 with a focus towards enhancing acceptance and use of emerging analytical technologies and sampling strategies. His perspective draws upon years of practical laboratory and field experience to apply EPA’s Triad approach and associated best practices at sites in Superfund, Brownfields, RCRA, UST and State programs. Mr. Dyment’s efforts have resulted in the development of numerous EPA case studies, profiles, and training courses that outline successful strategies for the use and understanding of high resolution/collaborative data sets, adaptive QC programs, and real time analytics. He provides direct project support for sites in Superfund, RCRA, and Brownfields, conducts research on issues of national significance while connecting regional research needs with national ORD expertise, and teaches classes on sampling design, x-ray fluorescence, high resolution site characterization, 3D visualization and other technical subjects (see www.trainx.org) Mr. Dyment holds a B.S. in Environmental Science/Toxicology from the University of Massachusetts at Amherst.
SESSION CHAIR & FLASH POSTER PRESENTER - Value of Information: How Much is Enough?
Setting Your Remediation Up for Success: Building Robust Conceptual Site Models Using High Resolution Site Characterization, 3D Visualization, and Modeling
Successful remediation often relies on the development of a robust and spatially accurate conceptual site model (CSM). The CSM must provide sufficient detail on the distribution of contaminant mass, as well as provide geologic and hydrogeologic context for where that contamination resides if project teams hope to be successful in the application of both passive and active treatment options. Recent advances in direct sensing tools, data management, visualization, and modeling provide the opportunity for rapid development of high resolution CSMs which can aid in appropriate sizing and design of sustainable and effective remediation approaches.
This session will explore Superfund case examples of high resolution direct sensing and collaborative data collection used in combination with 3D visualization and modeling tools to design efficient and effective remedial systems. Direct sensing tools include contaminant class tools such as the membrane interface probe (MIP) and laser induced fluorescence (LIF) tools, along with geologic/hydrogeologic tools such as hydraulic profiling systems, cone penetrometer tools (CPT), and geophysical techniques. Visualization and modeling tools include Ctech software for Earth Volumetric Studio (EVS) and Mining Visualization Software (MVS), Leapfrog Hydro, and catchment modeling provided by the Environmental Protection Agency (EPA) Environmental Response Team (ERT).