2004
DOI: 10.1016/s0265-931x(03)00206-6
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Quality assurance for the measurements and monitoring of radioactivity in the environment

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Cited by 9 publications
(3 citation statements)
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“…To meet the standard value of derived air concentration, the activity of nuclides were collected in the filter with values of 0.27 Bq/m 3 x 0.0025 m 3 Table 4 shows that the periodic and consistent internal quality control is needed to obtain quality measurement. The main objectives of internal quality control are to (1) ensure that calibration is maintained, (2) monitor equipment drift, and (3) check the consistency of results [16]. Quality control samples represent stable and original samples.…”
Section: Standardmentioning
confidence: 99%
“…To meet the standard value of derived air concentration, the activity of nuclides were collected in the filter with values of 0.27 Bq/m 3 x 0.0025 m 3 Table 4 shows that the periodic and consistent internal quality control is needed to obtain quality measurement. The main objectives of internal quality control are to (1) ensure that calibration is maintained, (2) monitor equipment drift, and (3) check the consistency of results [16]. Quality control samples represent stable and original samples.…”
Section: Standardmentioning
confidence: 99%
“…Analyses of radionuclides in environmental samples are carried out daily in many laboratories. These data are used for a variety of purposes including environmental surveys (Popović et al, 2007) and dose assessment in man and the environment, the establishment of standards of regulatory guides (Poms and Astley, 2011), and in decision making on economic, legal and health aspects (Betti and Aldave de las Heras, 2004). It is important to assure the accuracy and precision of the analysis results to guarantee that decisions are based on reliable results.…”
Section: Introductionmentioning
confidence: 99%
“…The increasing need for reliable data creates a concomitant need for a quality assurance (QA) system to support the acquisition of precise, accurate data. Objective evidence of precision and accuracy are a key component of data defensibility, and critical to the success of any environmental programs which rely on analytical data for decision making (Betti and Aldave de las Heras, 2004). For that purpose, an effective quality control (QC) and QA program is necessary to maintain high quality of results.…”
Section: Introductionmentioning
confidence: 99%