净水技术2024，Vol.43Issue(8)：54-60,7.DOI:10.15890/j.cnki.jsjs.2024.08.008
视野计数法检测水源水中藻类不确定度系统评定
Systematic Evaluation of Uncertainty for Algae Detection in Source Water by Visual Field Counting Method
摘要
Abstract
In this paper,a systematic method for evaluating the uncertainty of test results to address the challenges of quality control was developed in algae counting laboratories and the need for highly qualified test personnel.The study systematically analysed the uncertainty sources of the detection results of algae in source water using the field of view counting method.The study counted and fixed the number of algae in the concentrated sample through a microscope.Six key influencing factors were identified and the uncertainty components they introduced were calculated.An uncertainty evaluation model for algae counting measurement results was constructed by comprehensively analysing the uncertainty propagation law.A method was established to evaluate the uncertainty of algae counting results in source water.The uncertainties introduced by sampling,fixation,constant volume,sectioning,microscopy,and repeatability measurement in the process of algae counting detection were 0.004 08,0.002 45,0.004 08,0.000 081 9,0.007,and 0.019 8,respectively.The results of algae counting detection were mainly affected by repeatability measurement.The concentration of algae in the sample had a significant impact on the uncertainty of counting results.If the detection result was less than 1 million L-1,the expanded uncertainty of the detection result increased significantly.The uncertainty of detection results can be effectively controlled and the credibility of experiments improved by using instruments and equipment with high accuracy and precision,standardised operation and regular calibration.Optimising the key steps of algal counting methods is essential to improve the value of the results obtained.关键词
藻类/视野计数法/不确定度/水源水/系统评定Key words
algae/visual field counting method/uncertainty/source water/systematic evaluation分类
建筑与水利引用本文复制引用
褚福敏,逯南南,陈燕,宋艳,孙韶华,贾瑞宝..视野计数法检测水源水中藻类不确定度系统评定[J].净水技术,2024,43(8):54-60,7.基金项目
国家重点研发计划项目(2021YFC3200802-03) （2021YFC3200802-03）
国家自然科学基金项目(42007231) （42007231）
