Jay Thompson Presents at the 2017 AIChE Annual Meeting
Jay Thompson (Minnesota) delivered a presentation at the 2017 American Institute of Chemical Engineers (AIChE) Annual Meeting, entitled "Development of an Analytical Modeling Framework for Matrix Diffusion in Multi-Layered Systems," at the Minneapolis Convention Center in Minnesota on November 1, 2017.
The presentation was co-authored by Eric Tollefsrud (Minnesota), and focuses on predicting long-term fate and transport of groundwater contaminants in subsurface environments that include clays or silts.
Jay is an Engineer based in Minneapolis with technical expertise in sediment remediation, litigation support, passive sampling, contaminant bioavailability, and contaminant fate and transport. He also has extensive experience in field sampling and pilot-scale field studies. His Ph.D. work was funded by a top-5 multinational oil corporation. This relationship resulted in frequent and meaningful communications, meetings, and presentations with corporate scientists, engineers, and site managers. Grant proposals co-authored by Jay have resulted in over $400,000 in research funding. His work on activated carbon sediment amendment, passive sampler mass transport modeling, and zero-valent iron nanoparticles has resulted in several peer-reviewed publications, with several more currently in review. He has also served as a reviewer for a number of leading environmental engineering and science journals.
Eric Tollefsrud is a Principal Hydrogeologist based in Minneapolis with more than 25 years of environmental consulting experience focused on the characterization and remediation of soil, soil vapor, and groundwater contamination at industrial and commercial properties.
The AIChE Annual Meeting is the premier educational forum for chemical engineers interested in innovation and professional growth. Academic and industry experts cover a wide range of topics relevant to advanced research, new technologies, and emerging growth areas in chemical engineering. AIChE is the world's leading organization for chemical engineering professionals, with more than 50,000 members from over 100 countries.
AbstractMatrix diffusion is the process whereby a contaminated low-permeability geologic layer(s) acts as a long-term source to a higher permeability aquifer. A quantitative understanding of matrix diffusion processes is necessary to predict the long-term fate and transport of a wide variety of groundwater contaminants in subsurface environments that include clays or silts. In this work, a modeling framework for the analytical solution of the one-dimensional diffusion equation was developed to quantitatively describe matrix diffusion in multi-layered systems. The modeling framework was then applied to evaluate the potential long-term effects of matrix-diffusion at a field site contaminated with chlorinated hydrocarbons. Finally, an inverse model was constructed and applied to estimate historic contaminant loading with respect to time given measured vertical concentration profiles within a low-permeability formation. This framework has potential applications to groundwater contaminant fate and transport, remedial design, and environmental forensics.
Learn more about the presentation: https://aiche.confex.com/aiche/2017/meetingapp.cgi/Paper/497132.
Learn more about the event at: https://www.aiche.org/conferences/aiche-annual-meeting/2017.
Learn more about Jay: https://www.linkedin.com/in/jaymthompson/
Learn more about Eric: https://www.geosyntec.com/people/eric-tollefsrud