Travis McGuire and GSI Colleagues Publish Open Access Article on CERCLA Allocation using Risk Magnitude, GIS, and Monte Carlo Analysis.

Travis McGuire, Charles Newell, Ximena Osorio, and Kenneth (Neth) Walker at GSI recently published a peer-reviewed, open access article entitled “Allocating remedial costs at a superfund site using risk magnitude, geographic information systems, and Monte Carlo analysis” in the Environmental Forensics Journal. The article describes a court-tested methodology for allocating groundwater remediation costs at a Superfund site using three principle components:

1) Risk Magnitude: defined as the logarithm of the maximum concentration of a chemical in groundwater divided by its cleanup standard and is used to link remedy driver chemicals to cleanup costs after adjusting for remediation difficulty.

2) Geographic Information Systems (GIS): used for geospatial quantification of cumulative risk magnitude of the remedy driver chemicals.

3) Monte Carlo Analysis: used to develop an estimate for the waste volume attributable to each potentially responsible party (PRP).

Conclusions and Implications: The methodology was applied by the U.S. district court to develop a scientifically sound opinion that allocated site remediation costs between the PRPs – a decision that was upheld by the U.S. court of appeals. Though developed for a particular site, the method is adaptable, and its fundamental components could be readily applied to other sites for allocating remedial costs of complex chemical mixtures in environmental media, including soil, groundwater, or sediment.

Click the following link to download a copy of the open access article: Allocating remedial costs at a superfund site using risk magnitude, geographic information systems, and Monte Carlo analysis

For more information, please contact Travis McGuire at This email address is being protected from spambots. You need JavaScript enabled to view it. or 713-522-6300.