Literature DB >> 25233216

Optimising in situ gamma measurements to identify the presence of radioactive particles in land areas.

Peter D Rostron1, John A Heathcote2, Michael H Ramsey3.   

Abstract

High-coverage in situ surveys with gamma detectors are the best means of identifying small hotspots of activity, such as radioactive particles, in land areas. Scanning surveys can produce rapid results, but the probabilities of obtaining false positive or false negative errors are often unknown, and they may not satisfy other criteria such as estimation of mass activity concentrations. An alternative is to use portable gamma-detectors that are set up at a series of locations in a systematic sampling pattern, where any positive measurements are subsequently followed up in order to determine the exact location, extent and nature of the target source. The preliminary survey is typically designed using settings of detector height, measurement spacing and counting time that are based on convenience, rather than using settings that have been calculated to meet requirements. This paper introduces the basis of a repeatable method of setting these parameters at the outset of a survey, for pre-defined probabilities of false positive and false negative errors in locating spatially small radioactive particles in land areas. It is shown that an un-collimated detector is more effective than a collimated detector that might typically be used in the field.
Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

Keywords:  Hot particles; In situ optimisation; Particle detection; Radioactive contamination; Radioactive particles

Mesh:

Substances:

Year:  2014        PMID: 25233216     DOI: 10.1016/j.jenvrad.2014.08.019

Source DB:  PubMed          Journal:  J Environ Radioact        ISSN: 0265-931X            Impact factor:   2.674


  1 in total

1.  In-situ γ-ray analysis of ground surface radioactivity using portable HPGe γ spectrometer.

Authors:  Zeqian Wu; Bairong Wang; Jian Sun; Yuqi Wang; Changwei Zhao
Journal:  Sci Rep       Date:  2022-06-08       Impact factor: 4.996

  1 in total

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