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VSP: A Primary Planning Tool for Independent Characterization and Verification. Timothy J. Vitkus , CHP Associate Director, IEAV THE ASP 2013 Annual Workshop September 25, 2013. Historical Time Savings.
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VSP: A Primary Planning Tool for Independent Characterization and Verification Timothy J. Vitkus, CHP Associate Director, IEAV THE ASP 2013 Annual Workshop September 25, 2013
Historical Time Savings • Level of effort for planning and plotting sample plans required multiple tools and hours of time not too long ago • Integrates very well with: • Arc/GIS and similar geo-referenced systems • Google maps evenfor pre-GIS expertise and software/hardware tools • Visio • AutoCAD
Benefits and Time Savings for Challenging Project • Fukushima airborne releases impacted U.S. maritime assets involved in Operation TOMODACHI • Conducted characterization and now designing and implementing radiological release surveys • Multi-deck, complex, inter-related air handling systems and compartments requiring FSS plans • Basis for a proposed procedure for hard-to-detect radionuclides in soil
Shaded areas: air handling via collective protection system; exempt from release surveys
Independent Characterization Applications • Waste characterization and sanitary and EMWMF waste acceptance criteria determinations: • 34-Building ARRA demolition project • K-33 demolition project • Isotope Row • Random distribution of intrusive sample locations: • Waste lots spanned multiple buildings and structural populations (walls vs. floors vs. roofs, etc.) • Characterization mean estimation and Th-232 surface/subsurface correlation determination evaluations
Sanitary Waste Planning RSS selected to provide quantitative data demonstrating compliance with 5400.5 release guidelines and to select locations for intrusive samples for TSCA/RCRA considerations
FSS and Independent Verification Surveys • K-25 process gas piping (PGP) U-235 hold-up measurement verification: • Contractor required to determine U-235 hold-up/foot PGP (criticality determinations) and average/foot for disposal WAC • VSP RSS module used for verification of mean
FSS and Independent Verification Surveys (cont.) • VSP RSS module used extensively for verification soil survey units undergoing MARSSIM-based release process: • MARSSIM FSS based on hypothesis test of the mean/median concentration to release limit • Verification not intended to “reproduce” a MARSSIM release survey • Evaluate the site conclusion as to the mean site concentration and also determine if hot spots are present
Procedure Proposed to MARSSIM Work Group for Addressing Hard-to-DetectRadionuclides in Soil • Procedure statistical basis: Ranked Set Sampling (EPA QA/G-5S, Guidance on Choosing a Sampling Design for Environmental Data Collection; December 2002). • Procedure implementation basis: Visual Sample Plan RSS module (Pacific Northwest National Laboratory: http://vsp.pnnl.gov/) together with: • Arc/GIS software for mapping and random-start/systematic placement.
Procedure Bases (cont.) • Balances HTD hot spot detection probability with analytical cost • MARSSIM non-parametric statistical basis maintained • RSS used to differentiate relative concentrations of HTD alpha, beta, low-energy/abundance gamma emitters in soil • Concept presented at 2011 HPS Topical Mid-Year and full procedure presented at the 2013 HPS Annual Meeting • MARSSIM Work Group: Procedure is under evaluation for inclusion as Appendix E in MARSSIM revision • The following is abbreviated version of 2013 HPS presentation
MARSSIM/RSS Integrated FSS Planning Procedure: Example Application • Example Inputs/Assumptions: • HTDs: Empirical study RSS ranking ability for alpha-emitters and beta-emitters with βmax energy >250 keV (e.g. Tc-99, Sr-90) • VSP input parameters (True Average vs. Fixed Threshold module, i.e. MARSSIM Sign Test): • Survey unit mean and standard deviation • DCGL • Decision errors • Probability (p) of identifying a hot spot of a given size • Minimum ranking capability (MRC): α = 5 to 10 pCi/g; 250 keVβ = 100 to 200 pCi/g • MRC limitation is used for comparison to the applicable DCGLEMC • Following example uses Tc-99
MARSSIM/RSS Integrated FSS Planning Procedure: Example Application
VSP inputs and required number of FSS samples to satisfy DQOs. N = 15
Samples locations are distributed in the survey unit. The largest unsampled area = 133 m2
MARSSIM/RSS Integrated FSS Planning Procedure: Example Application (cont.) • Determine hot spot size of concern: • For example: 74 Class 1 characterization samples used to determine a pre-site remediation 95% and 99% upper confidence levels (UCL) of 787.9 and 955.4 pCi/g, respectively • Compared with the maximum concentration identified during characterization • Of the 74 characterization samples, two exceeded the 99% UCL from a historical spill area
MARSSIM/RSS Integrated FSS Planning Procedure: Example Application (cont.) • Proposed the 99% UCL concentration value to determine associated maximum hot spot size of concern from area factor table: • DCGLEMC = 955.4 pCi/g • NOTE: The above is just one possible approach, other options are available and should be discussed with the regulatory authority. • MRC = 100 to 200 pCi/g • Actual MRC < Required MRC • Area Factor of 48.7 = 17.4 m2 • 2000 m2/17.4 m2 results in N = 115 samples to satisfy DCGLEMC requirements
The initial plan N = 15 forms the basis for the RSS 133 m2 sub-grids. • NEMC = 115 • s the basis for the RSS 133 m2sub-grids. • NEMC = 115
MARSSIM/RSS Integrated FSS Planning Procedure: Example Application (cont.) • Therefore, N = 115 is adjusted to allow for appropriate RSS set size (typically 3 ranking locations per set) and 1 complete cycle (within each subunit. One complete cycle requires 9 locations (set size2) • Results in N = 135 = 9 RSS locations within each of the 15 subunits • The 135 locations are distributed in the survey unit • Currently VSP will only distribute randomly; random-start/systematic is not an option.
MARSSIM/RSS Integrated FSS Planning Procedure: Example Application (cont.) • Use “Predetermined Number of Samples” module which includes random-start systematic option
MARSSIM/RSS Integrated FSS Planning Procedure: Example Application (cont.) • Finally, randomize the 9 locations within each sub-unit based on Cycle-Set-Location 1, 2, or 3 • In the following figure, Arc/GIS was used
RSS sample plan across subunits
MARSSIM/RSS Integrated FSS Planning Procedure: Example Application (cont.) • 45 samples are collected for laboratory analysis, (60% reduction) + any judgmental • Sign test performed on results
MARSSIM/RSS Integrated FSS Planning Procedure: Hot Spot Detection Probability • VSP may then be used to estimate the probability of detecting hot spots smaller than those in the design plan. How small do we have to go? • Design basis probability of 0.9998 for RSS sampling of 18.3 m2elliptical hot spot. Equates to a risk of 0.0002 (1-p). • The probability of detecting smaller hot spots: • The probability for detection of a 10 m2 elliptical hot spot for example survey design decreases to 0.6792, and so on. • Final check with stakeholders
Recommendations for VSP Enhancement • Incorporate COMPASS • Update and maintenance of COMPASS has not been funded since Vista OS • Very complementary software, some redundancies in capabilities related to MARSSIM FSS planning; unique features include: • DCGL modification, ties in hot spot and scan MDC requirements, power curves, and others • ORAU has received authorization from funding agency to transfer source code to PNNL • Recent MARSSIM Work Group communication citing COMPASS for Power Curves
Other COMPASS Attributes: • Modified/Gross DCGL • Scan MDC Class 1 Requirements • Auto Unity Rule Applications • Others
Correspondence from MARSSIM Work Group Committee member: A follow-up to our phone call to complete my action item in the meeting minutes regarding a freeware to generate Power Curves… The COMPASS Freeware generates the power curves
Recommendations for Modifications • Random-start/systematic option for RSS locations (expect the HTD procedure to be in the forthcoming MARSSIM revision) • An app for that? • Better “undo” functionality • .txt to Excel formatting improvements (primarily headers) • Prospective and retrospective power curves, (these are similar to the current Decision Performance Goal Diagrams in VSP) • Other COMPASS functionalities that enhance VSP