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Multiple Linear Regression-Based Prediction Model to Detect Hexavalent Chromium in Drinking Water

  • K. Sri Dhivya Krishnan
  • P. T. V. BhuvaneswariEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 711)

Abstract

This paper discusses the dependency between various water quality parameters (WQPs), namely pH, TDS, and conductivity that are determined to estimate the presence of hexavalent chromium compounds in drinking water. Multiple linear regression (MLR)-based prediction model is proposed to estimate the above parameters. The changes in WQPs are analyzed under both instant and stable conditions. The deviation between the measured and the estimated WQP is computed and added as the correction factor in order to improve the detection accuracy.

Keywords

Water quality parameters Hexavalent chromium Multiple linear regression Correction factor and detection accuracy 

References

  1. 1.
  2. 2.
  3. 3.
  4. 4.
  5. 5.
  6. 6.
  7. 7.
  8. 8.
  9. 9.
    E C Alexopoulous, “Introduction to Multivariate Analysis”, Int. J. on Hippokartia, 14 (Suppl 1), 2010, 23–28.Google Scholar
  10. 10.
    Hana Vaskova, and Karel Koloznik, “Spectroscopic Measurement of trivalent and hexavalent chromium”, 17th Int. Carpathian Control Conference, 2016, 775–778.Google Scholar
  11. 11.
    S. Xu, X. Wang and C. Zhou, “A micro electrochemical sensor based on bismuth-modified mesoporous carbon for hexavalent chromium detection,” IEEE sensors conference, 2015, 1–4.Google Scholar
  12. 12.
    Y. Jiang and Z. Ma, “An assessment of water quality from a reach of Bailongjiang River, Gansu province,” 2011 Int. Conference on Electric Technology and Civil Engineering, 2011, 998–1000.Google Scholar
  13. 13.
  14. 14.
  15. 15.
    K. Sri Dhivya Krishnan and P.T.V. Bhuvaneswari, “Detection of Hexavalent Chromium contamination in drinking water using water quality sensor”, 9th Int. Conference on Trends in Industrial Measurements and Automation, 2017, 177–181.Google Scholar
  16. 16.
  17. 17.
  18. 18.

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • K. Sri Dhivya Krishnan
    • 1
  • P. T. V. Bhuvaneswari
    • 1
    Email author
  1. 1.Department of Electronics EngineeringMadras Institute of Technology, Anna UniversityChennaiIndia

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