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    Volume 45, Issue 2 (February 2017)

    Monitoring on the Auto-Analyzer System in-Statistical-Control for SO2 in Atmosphere With Top-Down Uncertainty Evaluation

    (Received 15 June 2015; accepted 25 January 2016)

    Published Online: 27 February 2017

    CODEN: JTEVAB

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    Abstract

    In this paper, the top-down approach (CNAS-GL34: Guidance for Measurement Uncertainty Evaluation Based on Quality Control Data in Environmental Testing, China National Accreditation Service for Conformity Assessment, Beijing, China, 2013) for A type evaluation of empirical model can be applied to qualify the SO2 by using analyzer and primary test method (PTM) (GB/T 27408: Quality Control in Laboratories—Evaluating Validity of Non-Standard Test Method—Practice for a Linear Relationship, Standardization Administration of the People's Republic of China, Beijing, China, 2010), whereupon a large number of real-time data, in multi-sites at different levels, were accumulated under site precision (sR′) in-statistical-control condition (GB/T 27411: Routine Methods for Evaluation and Expression of Measurement Uncertainty in Testing Laboratory, Standardization Administration of the People's Republic of China, Beijing, China, 2012). The data-transformed-system under investigation cannot be considered suspect as none of the Anderson Darling (AD) statistics were failed in acceptance at the 95 % confidence level for the hypothesis of normality and independence. Our survey was originated from the fog-haze over a period of time for SO2 in air, with its boundary of 100 × 10−9∼400 × 10−9. Finally, the top-down approach, based on closeness sum of squares (CSS), gave the reliable and valid evaluation as the expanded uncertainty, U = 8.5 μg/m3, which maximized the combination of the effects on various variances, refrained from the complicated relativity by bottom-up for uncertainty evaluation.


    Author Information:

    Wang, D. W.
    China National Accreditation Service for Conformity Assessment, Beijing,

    Sun, H. R.
    China National Accreditation Service for Conformity Assessment, Beijing,

    Pan, Z. Q.
    West Pacific Petrochemical Company, No. 1 Running Department, Dalian,

    Deng, Y.
    Comprehensive Testing Center for Quality and Technology Supervision, Yunnan Province

    Liang, C. Z.
    China Eastern Airlines Corporation Limited, Shanghai,

    Feng, O.
    CEFA Early Learning, BC


    Stock #: JTE20150257

    ISSN:0090-3973

    DOI: 10.1520/JTE20150257

    Author
    Title Monitoring on the Auto-Analyzer System in-Statistical-Control for SO2 in Atmosphere With Top-Down Uncertainty Evaluation
    Symposium ,
    Committee D02