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使用原地伽马能谱法进行浓度测量的表层土壤清理作业的数据质量目标。

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

作者信息

Fong S H, Alvarez J L

机构信息

Health Physics Program, G.W. Woodruff School of Mechanical Engineering , Georgia Institute of Technology, Atlanta 30332-0405, USA.

出版信息

Health Phys. 1997 Feb;72(2):286-95. doi: 10.1097/00004032-199702000-00013.

Abstract

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 241Am 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. Uncertainty analysis using a Latin Hypercube sampling technique for the calibration factor is also demonstrated. The quantitative result of the uncertainty analysis is useful for determining a nuclide's maximum peak count rate using gamma spectrum that ensures the attainment of the cleanup standard for that nuclide with a pre-specified confidence level (e.g., 95%). The cleanup operation of 239,240Pu in surface soil in the safety shot areas at the Nevada Test Site serves as an example to illustrate the data quality objectives development.

摘要

原位伽马能谱法是监测地表土壤中放射性污染物清理活动进展以及评估清理标准达成情况的有效方法。然而,在操作前必须为这种检测系统指定所需的数据精度和准确性,以确保与浓度测量相关的不确定度水平是可接受的。本文描述了一种为原位伽马能谱法制定数据质量目标的方法,以实现清理操作中数据精度和准确性的数值目标。放射性核素在其清理水平下的浓度测量精度必须与清理决策的重要性相称。建议系统的95%探测下限约为清理水平下预期系统响应的十分之一。然后可以确定达到首选的95%探测下限以及所需精度所需的计数时间。准确性误差源于整体校准因子,该校准因子将探测器响应(如计数率)与感兴趣的物理量(如放射性核素土壤浓度)相关联。使用原位伽马能谱法时校准因子的主要误差来源是土壤中放射性核素浓度深度分布类型的误识别。如果使用替代放射性核素,如用241Am替代钚,浓度比的变化将是另一个重要误差来源。在清理操作前进行的土壤采样计划将大大降低原位检测系统的准确性误差,对系统误差的分析可能会确定所需的采样程度。本研究讨论了此类计划的规划。还展示了使用拉丁超立方采样技术对校准因子进行不确定度分析。不确定度分析的定量结果有助于使用伽马谱确定核素的最大峰值计数率,从而确保在预先指定的置信水平(如95%)下达到该核素的清理标准。以内华达试验场安全射击区地表土壤中239,240Pu的清理操作为例来说明数据质量目标的制定。

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