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Development of a Real-Time, Mobile Nitrate Monitoring Station for High-Frequency Data Collection

Author

Listed:
  • Martin Jason Luna Juncal

    (School of Engineering and Built Environment, Griffith University, Gold Coast Campus, Southport 4222, Australia)

  • Timothy Skinner

    (School of Engineering and Built Environment, Griffith University, Gold Coast Campus, Southport 4222, Australia)

  • Edoardo Bertone

    (School of Engineering and Built Environment, Griffith University, Gold Coast Campus, Southport 4222, Australia
    Cities Research Institute, Griffith University, Gold Coast Campus, Southport 4222, Australia
    Australian Rivers Institute, Griffith University, Gold Coast Campus, Southport 4222, Australia)

  • Rodney A. Stewart

    (School of Engineering and Built Environment, Griffith University, Gold Coast Campus, Southport 4222, Australia
    Cities Research Institute, Griffith University, Gold Coast Campus, Southport 4222, Australia)

Abstract

A mobile monitoring station was developed to measure nitrate and physicochemical water quality parameters remotely, in real-time, and at very high frequencies (thirty minutes). Several calibration experiments were performed to validate the outputs of a real-time nutrient sensor, which can be affected by optical interferences such as turbidity, pH, temperature and salinity. Whilst most of these proved to play a minor role, a data-driven compensation model was developed to account for turbidity interferences. The reliability of real-time optical sensors has been questioned previously; however, this study has shown that following compensation, the readings can be more accurate than traditional laboratory-based equipment. In addition, significant benefits are offered by monitoring waterways at high frequencies, due to rapid changes in analyte concentrations over short time periods. This, combined with the versatility of the mobile station, provides opportunities for several beneficial monitoring applications, such as of fertiliser runoff in agricultural areas in rural regions, aquaculture runoff, and waterways in environmentally sensitive areas such as the Great Barrier Reef.

Suggested Citation

  • Martin Jason Luna Juncal & Timothy Skinner & Edoardo Bertone & Rodney A. Stewart, 2020. "Development of a Real-Time, Mobile Nitrate Monitoring Station for High-Frequency Data Collection," Sustainability, MDPI, vol. 12(14), pages 1-21, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:14:p:5780-:d:386115
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    References listed on IDEAS

    as
    1. Tetsuya Inagaki & Tomoko Watanabe & Satoru Tsuchikawa, 2017. "The effect of path length, light intensity and co-added time on the detection limit associated with NIR spectroscopy of potassium hydrogen phthalate in aqueous solution," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.
    2. K. A. Mamun & F. R. Islam & R. Haque & M. G. M. Khan & A. N. Prasad & H. Haqva & R. R. Mudliar & F. S. Mani, 2019. "Smart Water Quality Monitoring System Design and KPIs Analysis: Case Sites of Fiji Surface Water," Sustainability, MDPI, vol. 11(24), pages 1-21, December.
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