|Time/Date of Training:
January 26, 2021, 1:00 PM - 3:15 PM, EDT (18:00-20:15 GMT)
|Training Course Overview:
Please note that Modules 1-3 will be presented on January 26, 2021 and then archived for on demand listening. Modules 4-6 will be presented on March 11, 2021 and then archived. Registration for Modules 4-6 will open in early February 2021.
The newly updated Incremental Sampling Methodology (ISM) training is a series of six modules providing an overview of ISM and presenting five sections from the ITRC guidance document (ISM-2, 2020):
- Overview (Sect 1)
- Heterogeneity (Sect 2)
- Statistics (Sect 3.2), Data Use Planning (Sect 3.3), and Data Quality Evaluation (Sect 6)
- Field Sampling Collection (Sect 4)
- Lab Preparation (Sect 5)
- Risk Assessment (Sect 8)
After this series, you should understand:
- Incremental Sampling Methodology (ISM) is a statistically supported technique for assessing the unbiased mean contaminant concentration in soil, sediment, and other solid media which can afford an economy of effort and resources in your
- How the ISM structured composite sampling and processing protocol reduces data variability and provides for representative samples of specific soil volumes by collecting numerous increments of soil (typically, 30 to 100 increments) that are combined, processed, and subsampled according to specific protocols.
- The key principles regarding heterogeneous soil sampling errors and how ISM reduces those errors to have more confidence in sampling results.
- How to use the new ITRC Incremental Sampling Methodology (ISM-2) guidance document to learn the principles and approaches of the methodology to improve representative, reproducible, and defensible data to improve decision-making at your sites.
For regulators and other government agency staff, this improved understanding can hopefully be incorporated into your own programs. ISM is finding increased use in the field, as well as acceptance and endorsement by an increasing number of state and federal regulatory organizations. Proponents have found that the sampling density afforded by collecting many increments, together with the disciplined processing and subsampling of the combined increments, in most cases yields more consistent and reproducible results than those obtained by more traditional discrete sampling approaches.
Prior to attending the training class, participants are encouraged to view the associated ITRC guidance, Incremental Sampling Methodology (ISM-2)
. Participants interested in ISM background information prior to the ISM-2 training are encouraged to view the ISM-1 training at ITRC Soil Sampling and Decision Making Using Incremental Sampling Methodology 2-Part Training Series
Session 1 – Introduction to ISM, Heterogeneity, and Statistical Applications to ISM Planning & Evaluation (Modules 1-3)
Session 2: Field Sample Collection, Incremental Sample
- Introduction:Caroline Jalenti, NYDEC (firstname.lastname@example.org)
- Introduction:Troy Keith, PG, TNDEC (email@example.com)
- Module 1:Jason Brodersen, PG, Tetra Tech(firstname.lastname@example.org)
- Module 1:Chris Christensen, MI EGLE (email@example.com)
- Module 2:Thomas Maher, PG, Civil & Environmental Consultants, Inc. (firstname.lastname@example.org)
- Module 2:Michele Zych, PG, Wood PLC (email@example.com)
- Module 3:Hayley Brittingham, Neptune and Company (firstname.lastname@example.org)
- Module 3:Philip Goodrum, Ph.D., GSI Environmental(email@example.com)
Processing & Analysis, and ISM for Risk Assessment (Modules 4-6)
- Introduction:Caroline Jalenti, NY DEC (firstname.lastname@example.org)
- Introduction:Troy Keith, TN DEC (email@example.com)
- Module 4:Todd Miller, Kennedy/Jenks Consultants (firstname.lastname@example.org)
- Module 4:Jay Clausen, Ph.D., ERDC-CRREL (email@example.com)
- Module 5:Mark Bruce, Ph.D., Eurofins((firstname.lastname@example.org)
- Module 5:Ed Corl, Ph.D., NAVSEA Laboratory Quality and Accreditation Office (email@example.com)
- Module 6:Tamara Sorell, Ph.D., BCES, Brown and Caldwell (firstname.lastname@example.org)
- Module 6:Karen DiBiasio, Ph.D., CalEPA/DTSC (email@example.com))
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