||Monthly Incremental Sampling Subcommittee Virtual Training
||Estimation of Soil Exposure Point Concentrations (EPCs) as 95% Upper Confidence Limits on the mean (UCL 95) at the Upper Columbia River (UCR) Site from Single Incremental Composite (IC) Samples
||U.S. EPA, Office of Superfund Remediation and Technology Innovation
through the Technical Support Project's Engineering Forum
Incremental sampling is an unbiased, structured soil sampling protocol that reduces data variability and increases sample representativeness. It accomplishes this through careful up-front planning that defines what the soil samples are intended to represent, and through use of specialized sample collection and processing procedures in both the field and laboratory.
The Incremental Sampling Subcommittee was established in 2017 as a special focus workgroup within the Engineering Forum, one of the EPA Technical Support Project’s (TSP) three technical forums. The primary objectives of the Incremental Sampling Subcommittee are to: 1.) establish a national incremental sampling community of practice, 2.) develop incremental sampling expertise in every EPA Region , 3.) Educate state and federal environmental professionals, and 4.) provide information on current and new incremental sampling topics and procedures.
Presentations are specifically designed for EPA staff including RPMs, OSCs, Corrective Action Managers, Superfund and Technology Liaisons, Chemists, Biologists, Physical Scientists, and Engineers from within EPA regions, program offices, laboratory system, and headquarters personnel as well as environmental professionals from state agencies, tribes, the U.S. Army Corps of Engineers, U.S. Dept. of Energy, and other federal agencies of all experience levels. THIS TRAINING IS NOT OPEN TO ACADEMIA, CONTRACTORS, CONSULTANTS OR OTHER PRIVATE ENTITIES.
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A method was proposed for estimating exposure point concentrations (EPCs) from a single incremental composite sample (IC) when ≥3 IC samples were not available for estimating the 95% upper confidence limit on the mean (95UCL). This case study presents a statistical rationale for deriving a confidence factor (CF) to be applied to the soil concentration measured in a single IC sample and describes the approach used to derive a value for the CF that was used at the Upper Columbia River (UCR) site. The CF was based on the 95UCL/mean ratio estimated for decision units (DUs) with 3 composite samples. The 95th percentile of 95UCL/mean ratio was selected as the CF to ensure that the probability of a false negative error was ≤5% (i.e., concluding that the population mean at the DU is below a level of concern when it actually equals or exceeds the level of concern). Central to application of the CF method is the requirement to derive a robust estimate of a CF that can be applied broadly across DUs and, preferably, across contaminants. This was accomplished at the UCR site by examining estimates of the 95th percentile of the 95UCL/mean ratio derived from various groupings of DU types.
Presenter: Marc Stifelman, Human Health Risk Assessor, U.S. EPA Region 10
||July 21, 2021 at 2:00 PM
||July 21, 2021 at 3:30 PM
|For questions about this event, please
|This event will be held
|| Internet Based
Live Online Class, Internet Based
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