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Submitted 8/31/04
A: Good
question - and no easy answers. Fortunately. in many cases the
hard-to-detect radionuclides can be scaled to radionuclides that can be
detected via scanning. But I'm assuming that's not the premise of your
question.
Submitted 3/26/04 A: Exposure rates historically have been measured during the final status survey to satisfy the appropriate exposure rate guideline (e.g., 20 μR/h in your example). While the industry standard for environmental (low level) measurements of exposure rate may be the pressurized ionization chamber (PIC), both the Bicron Micro-Rem meter and Ludlum model 19 micro-R meter can be used to measure exposure rates. A favorable attribute of the PIC is its relatively flat energy response across a wide gamma energy range; the response of the hand-held Bicron and Ludlum meters mentioned above are energy dependent to varying degrees. With the move to dose-based release criteria, exposure rate measurements are not usually performed during the final status survey (since DCGLs are expressed in terms of building surface activity or soil concentrations). However, guidance in NUREG/CR-5849 "Manual for Conducting Radiological Surveys in Support of License Termination" (http://www.orau.org/ptp/5849/nureg5849.htm) states that exposure rate measurements should be conducted at 1 m above the ground at systematic and random locations, and at locations of elevated direct radiation as indicated by scans.
Submitted 3/16/04
A:
The MARSSIM Manual in Section 4.3.4 addresses this issue: "For situations
where multiple radionuclides with their own DCGLs are present, a gross
activity DCGL can be developed. This approach enables field measurement of
gross activity, rather than determination of individual radionuclide
activity, for comparison to the DCGL."
Submitted 7/31/03 A: The submitted question relates to the impacted/non-impacted determination for a site. Fundamentally, non-impacted areas are those areas that have no reasonable potential to be contaminated. They are areas that would be considered acceptable as background reference areas precisely due to the virtually non-existent potential for contamination. The information provided in the question indicates that there may be a debate between whether to label the area as Class 3 (impacted) or non-impacted. The information provided does not seem to indicate that this area supports a non-impacted designation; rather, a Class 3 designation is suggested. In fact, the proposed activities to justify that the site is non-impacted are very similar to the activities that would be recommended for a Class 3 area.
Submitted 6/30/03 A: Your first question concerns contamination above the DCGL identified in a Class 3 area. Reclassification is certainly warranted in this case, and likely to a Class 1 area. Perhaps more importantly is the need for additional characterization, as well as a review of the historical site assessment data, to determine the radiological condition in this and possibly other similar areas. Finding contamination above the DCGL in a Class 3 area is a flag that casts doubt on the validity of the classification process. Concerning your second question, it may be possible that remediation may not be warranted for 2 or 3 samples above the DCGLemc. The question does not state the size of the contaminated area that is represented by the 2 or 3 samples. The DCGLemc is specific for a certain size area (in m2). If the average contamination level in a certain hot spot area is less than the DCGLemc for that area, then remediation may not be necessary. At a minimum, it seems that additional scanning and samples would be necessary to evaluate the radiological condition of this area to permit an appropriate comparison to the DCGLemc. Given the expense associated with determining the extent of the hot spot contamination, and determining the average contamination in a hot spot area, MARSSIM users will often choose to remediate the area not only as a cost-savings measure, but also as an ALARA consideration.
Submitted 2/4/03 A: This is a very good question, and the answer is certainly not as satisfying as one would like. Please allow a bit of background to develop a response to your insightful question. MARSSIM recommends two approaches for demonstrating compliance with release criteria: 1) a statistical approach to assess the average contamination level in a survey unit, and 2)scanning to identify potential hot spots in the survey unit. These two survey methods complement each other, and are equally important. As you know, MARSSIM also applies a graded approach that recognizes that more survey effort is required in site areas that have a greater potential for contamination. Class 1 areas are defined as those that potentially have contamination that exceeds the DCGLw, while Class 2 areas have potential contamination that is less than the DCGLw, and Class 3 areas are expected to have very minimal contamination, if any at all. Proper classification of site areas is essential to an effective MARSSIM survey design, particularly when applied to scan MDCs. Scanning is performed to identify potential hot spots that may exist in a survey unit. 100% scanning is required in Class 1 areas because of the likelihood that hot spots may be present, 10 to 100% in Class 2 areas, and judgmentally in Class 3 areas where hot spots are not expected at all. One might argue that scanning in Class 3 areas is pointless if the survey area is correctly classified as Class 3. Now the scan MDC must be calculated for each instrument/detector that is used for scanning during the survey. In Class 1 areas, if the scan MDC is not less than the required scan MDC (DCGLw * AF), then additional samples are required to compensate for the insufficient scan MDC. This process is described in Chapter 5 of MARSSIM. There is no requirement for the scan MDC to be less than the DCGLw at all. If it is - great, then no additional samples will be required due to a poor scan MDC. So in Class 1 areas the scan MDC is tied to the DCGLw and the area factors to assure that any potential elevated areas of dosimetric significance can be detected by scanning. This brings us to Class 2 and Class 3 areas. There is no guidance on the scan MDC for these areas. You would use the same instrument/detector for scanning in these areas as you used in the Class 1 areas. These areas are not expected to have hot spots if they were properly classified. MARSSIM recommends that scanning be performed in these areas primarily as a check on proper classification - it's a good "due-diligence" practice. Specifically, MARSSIM states on p.5-51 that "Investigation levels for Class 3 areas should be established to identify areas of elevated activity that may indicate the presence of residual radioactivity. Scanning survey locations that exceed the investigation level should be flagged for further investigation. The results of the investigation and basis for reclassifying all or part of the survey unit as Class 1 or Class 2 should be included in the final status survey report." Basically any radiation levels detected above background in Class 3 areas while scanning should be investigated - and possibly reclassified. The fact that the scan MDC is not tied to the DCGLw in Class 2 and Class 3 areas is mitigated by the fact that these areas should not have hot spots, and therefore the statistical approach (mentioned above) takes precedence in demonstrating compliance. MARSSIM still recommends scanning as a due-diligence check on the appropriateness of the classification. This approach puts the burden squarely on the proper classification of areas.
Submitted 10/16/02
A: First,
if the contamination is generally present to a depth of 6 feet at this site,
then you have subsurface contamination and the guidance in MARSSIM does not
strictly apply. Many sites that have subsurface contamination use
characterization surveys to determine the extent of the contamination, and
then remediate based on the characterization data. Following remediation the
soil areas are largely uneven ("moon-scape" is the term often used), but the
MARSSIM survey guidance can be used assuming that only surface soil
contamination remains, even if the new surface is 2 m below grade. If this
is not the case at your site, then you must rely on the DQO Process to
develop appropriate, agreed upon, survey procedures.
Submitted 10/7/02
Submitted 10/8/02 If, having performed a survey (assuming all the parameters are acceptable) I perform a retrospective power curve using my actual standard deviation in the survey unit and I calculate some number N that is greater than the one used to perform the survey, can I accept this data as long as the original N is at least equal to the new N-20%? Or, do I have to redo the survey or do additional sampling as described in Dr. Gogolak's letter? Let's suppose I design a survey with the following parameters: DCGL = 100dpm/100cm2, LBGR = 50dpm/100cm2, α = .05, β = .01, σ = 17. My Δ/σ=2.94, N = 15, Pr = 97. Everything looks good and I do the survey. When I review the survey results, I find the actual s = 22. The recalculated N is now 16. Can I accept this data since 16 X .8 is 15, or do I have to resurvey this unit? A: Thank you for submitting this question. Believe it or not, the MARSSIM guidance to collect an additional 20% above the statistically required sample size is for your (the MARSSIM user's) benefit. Your principal question seems to be "can I ignore the up to 20% of the data and still pass the survey unit?" The simple answer is 'yes'. However, allow me to elaborate on this point. The sample size is based, among other things, on the acceptable decision errors (Type I and Type II), the expected mean in the survey unit, and the expected standard deviation in the survey unit. To the degree that you know the mean and the standard deviation, the less important it is to collect an additional 20% on sample size. In other words, assuming that you will not lose any data for some reason, the only variables that could reduce your statistical power and your probability for passing at a particular concentration level is the error in knowing the true mean and standard deviation. [The standard deviation affects the shape of the power curve, while the mean is the point on the x-axis of the power curve where you determine your probability for passing the survey unit]. Therefore, if you have characterized the survey unit very well, and have a high confidence in the accuracy of the mean and standard deviation (and the lab, so as not to lose data), the 20% addition on sample sizes is over the top. Of course, most will quickly realize that the conditions I just mentioned in last sentence are usually not the case, and it is precisely due to this point that MARSSIM suggests collecting the additional samples. Think of it as insurance against a poor estimate of the standard deviation. Finally, in your last example, if the survey data you collect with the underestimated sigma (you used 17 when it turned out to be 22) passes the test, you're done...consider yourself lucky perhaps. you certainly had less statistical power to pass, but once you pass the test, the amount of statistical power you actually had becomes a moot point. My advice: don't shortchange the importance of the 20% increase, it often makes up for a poorly estimated standard deviation.
On another issue-What portion of the scan MDC calculation formula could be used if one would want to estimate activity on the surface based strictly on the scanning ncpm? Would you still divide through the ncpm by the efficiency factors and the square root of 0.5? Or is this not possible for the scanning ncpm? How about using the ratio between the MDCR (for a fixed background and scan rate) and the dpm/100 cm^2 MDC? Is there a more correct approach possible? A: You bring up a number of interesting points that I will attempt to answer. First, there are two types of measurements expected in each survey unit: random (or random-systematic) measurements and judgmental measurements. Only the random measurements should be used in the statistical assessment (via the hypothesis test) of whether the DCGLw (average guideline) has been met. Scanning is used to identify the presence of any hot spots, and subsequent measurements at these locations are not random, but judgmental measurements. Judgmental measurements are NOT included in the statistical test, but rather are compared to the DCGLemc for each hot spot identified. Note: It is acceptable for judgmental measurements to be greater than the DCGLw; however, all of the hot spots in the survey unit must be considered together, using Eqn 8-2 in MARSSIM. Now, for the specific situation that you propose - scanning and taking 1-min measurements at judgmental locations. As above, these data have no business being used in the statistical test (e.g., Sign or WRS test). Now, it may be worth considering whether these data can be used for planning the FSS. That is, prior to the implementation of the FSS the relative shift must be specified. This value depends on the standard deviation of the contaminant in the survey unit, which is often determined during the characterization survey. Indeed, the methodology you describe seems like it is well-suited for characterization surveys - where any potential hot spots can be identified (and remediated if necessary), and the expected standard deviation in the survey unit can be determined. Further, if the judgmental points indicate that the survey unit fails (during characterization), it would be wise to clean up (Eqn 8-2 still needs to be addressed even when the statistical test passes). Finally, while your approach seems to have more merit during the characterization survey, particularly for the outcomes that you describe, it could be used during the FSS (noting the above limitations). Note: Because it important not to underestimate the variability in the survey unit, including the judgmental data in the determination of the standard deviation during the characterization is a reasonable approach. Doing this will likely overestimate the std dev, perhaps increasing the sample size needed for FSS, but we're only talking 1-min direct measurements (not a big cost). Using scanning alone to estimate surface activity levels is the second issue you raise. First, this technique is viable when you have automated collection devices that can record both the radiation measurement and the location. A number of companies now offer this capability. However, using conventional scanning approaches (i.e., listening to the audible output of the meter to ID hot spots) to estimate surface activity is difficult. It should not be done during the FSS. The biggest challenge is how you would accurately determine the ncpm from scanning in an area. Would you scan for some preset time and record the integrated counts? Would you try to remember the scanning fluctuations over some time or survey area? This is not easy, nor recommended. If you can get ncpm in some acceptable manner from scanning, then you would divide by the instrument and surface efficiencies to get activity (not by the surveyor efficiency).
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