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Title: Data quality objectives for surface-soil cleanup operation using in situ gamma spectrometry for concentration measurements

Journal Article · · Health Physics
 [1];  [2]
  1. Georgia Institute of Technology, Atlanta, GA (United States)
  2. IT Corp., Englewood, CO (United States)

In situ gamma spectrometry is an efficient method for monitoring the progress of cleanup activities for radioactive contaminants in surface soil and for evaluating the attainment of cleanup standards. However, desired data precision and accuracy must be specified for such a detection system prior to the operation to ensure that the level of uncertainty associated with the concentration measurements is acceptable. A method for developing data quality objectives is described in this paper for in situ gamma spectrometry to achieve numerical goals for data precision and accuracy for cleanup operations. Concentration measurement for a radionuclide at its cleanup level must have a precision commensurate with the importance of cleanup decisions. The 95% lower limit of detection of the system is suggested to be about one tenth the expected system response at the cleanup level. The count time required to achieve the preferred 95 % lower limit of detection, and hence the desired precision, can then be determined. The accuracy error arises from the overall calibration factor, which relates the detector responses (e.g., count rate) to physical quantities of interest (e.g., radionuclide soil concentration). The major source of error for the calibration factor using in situ gamma spectrometry is the misidentification of the type of the depth profile of radionuclide concentration in soil. If surrogate radionuclides are used, such as {sup 241}Am for plutonium, the variation in the concentration ratio would be another significant source of error. Soil sampling programs performed prior to a cleanup operation will greatly reduce the accuracy error for an in situ detection system, and the analysis of system errors may determine the degree of sampling required. The planning of such a program is discussed in the study. 18 refs., 9 figs., 3 tabs.

Sponsoring Organization:
USDOE
DOE Contract Number:
AC08-92NV10972
OSTI ID:
458853
Journal Information:
Health Physics, Vol. 72, Issue 2; Other Information: PBD: Feb 1997
Country of Publication:
United States
Language:
English