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Construction of Control Charts to Help in the Stability and Reliability of Results in an Accredited Water Quality Control Laboratory

Author

Listed:
  • Flávia Matias Oliveira da Silva

    (Department of Applied Sciences and Technologies, Polytechnic Institute of Beja, 7800-000 Beja, Portugal)

  • Karina Santos Silvério

    (Department of Applied Sciences and Technologies, Polytechnic Institute of Beja, 7800-000 Beja, Portugal)

  • Maria Ivone Castanheira

    (Department of Applied Sciences and Technologies, Polytechnic Institute of Beja, 7800-000 Beja, Portugal)

  • Mariana Raposo

    (Department of Applied Sciences and Technologies, Polytechnic Institute of Beja, 7800-000 Beja, Portugal)

  • Maria José Imaginário

    (Department of Applied Sciences and Technologies, Polytechnic Institute of Beja, 7800-000 Beja, Portugal)

  • Isabel Simões

    (Department of Applied Sciences and Technologies, Polytechnic Institute of Beja, 7800-000 Beja, Portugal)

  • Maria Adelaide Almeida

    (Department of Applied Sciences and Technologies, Polytechnic Institute of Beja, 7800-000 Beja, Portugal)

Abstract

Overall, laboratory water quality analysis must have stability in their results, especially in laboratories accredited by ISO 17025. Accredited parameters should be strictly reliable. Using control charts to ascertain divergences between results is thus very useful. The present work applied a methodology of analysis of results through control charts to accurately monitor the results for a wastewater treatment plant. The parameters analyzed were pH, BOD 5 , COD, total suspended solids, and total phosphorus. The stability of the results was analyzed from the control charts and 30 analyses performed in the last 12 months. From the results, it was possible to observe whether the results are stable, according to the rehabilitation factor that cannot exceed WN = 1.00 and the efficiency of removal of pollutants that remained above 70% for all parameters. The method of determining the technological reliability and stability of the treatment station using control charts is an efficient tool for detecting any instability in the results. These results help to monitor the results of the analyses more clearly and thus enable a rapid response to possible disturbances and maintain the quality of the analysis control, as well as determining the accreditation entities.

Suggested Citation

  • Flávia Matias Oliveira da Silva & Karina Santos Silvério & Maria Ivone Castanheira & Mariana Raposo & Maria José Imaginário & Isabel Simões & Maria Adelaide Almeida, 2022. "Construction of Control Charts to Help in the Stability and Reliability of Results in an Accredited Water Quality Control Laboratory," Sustainability, MDPI, vol. 14(22), pages 1-11, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15392-:d:977624
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    References listed on IDEAS

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    1. Luciana Teixeira Batista & José Ricardo Queiroz Franco & Ricardo Hall Fakury & Marcelo Franco Porto & Carmela Maria Polito Braga, 2022. "Methodology for Determining Sustainable Water Consumption Indicators for Buildings," Sustainability, MDPI, vol. 14(9), pages 1-25, May.
    2. Peter G. Moore, 1957. "Normality in Quality Control Charts," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 6(3), pages 171-179, November.
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    Cited by:

    1. Ali Yeganeh & Mahdi Parvizi Amineh & Alireza Shadman & Sandile Charles Shongwe & Seyed Mojtaba Mohasel, 2023. "Combination of Sequential Sampling Technique with GLR Control Charts for Monitoring Linear Profiles Based on the Random Explanatory Variables," Mathematics, MDPI, vol. 11(7), pages 1-21, March.
    2. Shengjin Gan & Su-Fen Yang & Li-Pang Chen, 2023. "A New EWMA Control Chart for Monitoring Multinomial Proportions," Sustainability, MDPI, vol. 15(15), pages 1-19, July.
    3. Joanna A. Kamińska & Guido Sciavicco & Jan K. Kazak, 2023. "Sustainable Cities and Regions—Statistical Approaches," Sustainability, MDPI, vol. 15(9), pages 1-3, May.

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