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

作　　者：褚福敏 逯南南 陈燕 宋艳 孙韶华 贾瑞宝 CHU Fumin;LU Nannan;CHEN Yan;SONG Yan;SUN Shaohua;JIA Ruibao(Jinan Monitoring Station of National Water Quality Monitoring Net for Water Supply and Drainage,Jinan 250101,China;Shandong Province City Water and Drainage Water Quality Monitoring Center,Jinan 250101,China)

机构地区：[1]国家城市供水<排水>监测网济南监测站,山东济南250101 [2]山东省城市供排水水质监测中心,山东济南250101

出　　处：《净水技术》2024年第8期54-60,共7页Water Purification Technology

基　　金：国家重点研发计划项目(2021YFC3200802-03);国家自然科学基金项目(42007231)。

摘　　要：针对藻类计数实验室质量控制难度大、检测人员专业技术水平要求较高等问题,文章开展该项目检测结果不确定度系统评定方法研究。通过显微镜计数固定浓缩后样品中藻类数量,系统分析视野计数法检测水源水中藻类测定结果不确定度来源,计算6个重点影响因素引入的不确定度分量,综合不确定度传播规律,构建藻类计数测定结果不确定度评定模型,建立水源水中藻类计数结果不确定度的评定方法。藻类计数检测过程中由取样、固定、定容、制片、显微镜、重复性测量引入的不确定度分别为0.00408、0.00245、0.00408、0.0000819、0.007、0.0198,重复性测量是藻类计数检测结果不确定度的主要来源。样品中藻类浓度对计数结果的不确定度影响较大,检测结果<100万个/L时,检测结果的扩展不确定度明显增大。选用准确度、精密度高的仪器设备,规范的操作,以及对仪器设备定期进行检定校准是控制检测结果不确定度、提高试验可信度的有效手段。对藻类计数方法关键环节进行优化,是提高检测结果使用价值的重要途径。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 0.00408,0.00245,0.00408,0.0000819,0.007,and 0.0198,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 

分 类 号：TU991[建筑科学—市政工程]