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

Martin Jason Luna Juncal, Timothy Skinner, Edoardo Bertone and Rodney A. Stewart
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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
Rodney A. Stewart: School of Engineering and Built Environment, Griffith University, Gold Coast Campus, Southport 4222, Australia

Sustainability, 2020, vol. 12, issue 14, 1-21

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.

Keywords: agriculture; Nitrate runoff; real-time monitoring; water quality (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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