| Ding Yuehua,Qian Aijun,Yang Longfei,et al.Discussion on uncertainty evaluation in measurement of radioactive indicators in drinking water[J].Chinese Journal of Radiological Medicine and Protection,2026,46(6):619-626 |
| Discussion on uncertainty evaluation in measurement of radioactive indicators in drinking water |
| Received:October 18, 2025 |
| DOI：10.3760/cma.j.cn112271-20251018-00364 |
| KeyWords:Measurement uncertainty|Drinking water|Gross α|Gross β |
| FundProject: |
| Author Name | Affiliation | E-mail | | Ding Yuehua | Chongming District Center for Disease Control and Prevention (Chongming District Health Supervision Institute), Shanghai 202150, China | | | Qian Aijun | Shanghai Municipal Center for Disease Control and Prevention, Shanghai 201107, China | | | Yang Longfei | Chongming District Center for Disease Control and Prevention (Chongming District Health Supervision Institute), Shanghai 202150, China | | | Huang Minpeng | Shanghai Municipal Center for Disease Control and Prevention, Shanghai 201107, China | | | Ma Wei | Shanghai Municipal Center for Disease Control and Prevention, Shanghai 201107, China | mawei@scdc.sh.cn |
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| Abstract:: |
| Objective To identify the sources of uncertainty in the measurement of gross alpha and gross beta radioactivity in drinking water, discuss the method for quantifying each component of uncertainty in laboratory practice, and propose improvement measures to enhance the overall testing capability of laboratories. Methods With a laboratory as an example who has participated in a proficiency comparison for gross α and gross β radioactivity measurement organized by the Shanghai Municipal Center for Disease Control and Prevention, the sources of various uncertainty components were analyzed based on a mathematical model. These components include count rate, water sample volume, total mass of water sample residue, mass of the water sample residue weighed during sample source preparation, counting efficiency of the instrument measured with standard powder sources, and radioactivity recovery rate. The contributions of these uncertainty components were compared. Results Of all uncertainty components, the highest contribution was from count rate, ranging from 39.2% to 50.9%; followed by the counting efficiency for standard powder sources and the radioactive recovery rate, from 15.6% to 32.8%; while the minor contributions was from the total mass of water residue, the mass of residue weighed during sample source preparation, and the water sample volume show, relatively, falling from 1.1% to 5.3%. Conclusions By systematically analyzing the sources of uncertainty and developing evaluation method tailored to laboratory practical needs, the operability of uncertainty assessment can be significantly improved, thereby enhancing the reliability and credibility of laboratory measurement result. |
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