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Establishment of an Automatic Real-Time Monitoring System for Irrigation Water Quality Management

Author

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  • Wei-Jhan Syu

    (Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei City 10617, Taiwan)

  • Tsun-Kuo Chang

    (Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei City 10617, Taiwan)

  • Shu-Yuan Pan

    (Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei City 10617, Taiwan)

Abstract

In order to provide the real-time monitoring for identifying the sources of pollution and improving the irrigation water quality management, the integration of continuous automatic sampling techniques and cloud technologies is essential. In this study, we have established an automatic real-time monitoring system for improving the irrigation water quality management, especially for heavy metals such as Cd, Pb, Cu, Ni, Zn, and Cr. As a part of this work, we have first provided several examples on the basic water quality parameters (e.g., pH and electrical conductance) to demonstrate the capacity of data correction by the smart monitoring system, and then evaluated the trend and variance of water quality parameters for different types of monitoring stations. By doing so, the threshold (to initiate early warming) of different water quality parameters could be dynamically determined by the system, and the authorities could be immediately notified for follow-up actions. We have also provided and discussed the representative results from the real-time automatic monitoring system of heavy metals from different monitoring stations. Finally, we have illustrated the implications of the developed smart monitoring system for ensuring the safety of irrigation water in the near future, including integration with automatic sampling for establishing information exchange platform, estimating fluxes of heavy metals to paddy fields, and combining with green technologies for nonpoint source pollution control.

Suggested Citation

  • Wei-Jhan Syu & Tsun-Kuo Chang & Shu-Yuan Pan, 2020. "Establishment of an Automatic Real-Time Monitoring System for Irrigation Water Quality Management," IJERPH, MDPI, vol. 17(3), pages 1-16, January.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:737-:d:312305
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    References listed on IDEAS

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    1. Mengjing Guo & Tiegang Zhang & Jing Li & Zhanbin Li & Guoce Xu & Rui Yang, 2019. "Reducing Nitrogen and Phosphorus Losses from Different Crop Types in the Water Source Area of the Danjiang River, China," IJERPH, MDPI, vol. 16(18), pages 1-17, September.
    2. Fei Wang & Mengfu Pei & Ling Qiu & Yiqing Yao & Congguang Zhang & Hong Qiang, 2019. "Performance of Anaerobic Digestion of Chicken Manure Under Gradually Elevated Organic Loading Rates," IJERPH, MDPI, vol. 16(12), pages 1-17, June.
    3. Meie Wang & Haizhen Zhang, 2018. "Accumulation of Heavy Metals in Roadside Soil in Urban Area and the Related Impacting Factors," IJERPH, MDPI, vol. 15(6), pages 1-11, May.
    4. Po-Kang Shih & Li-Chi Chiang & Sheng-Chi Lin & Tsun-Kuo Chang & Wei-Chan Hsu, 2019. "Application of Time-Lapse Ion Exchange Resin Sachets (TIERS) for Detecting Illegal Effluent Discharge in Mixed Industrial and Agricultural Areas, Taiwan," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
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    Cited by:

    1. Hanwen Zhang & Yanwei Liu & Fukun Gui & Xu Yang, 2023. "A Universal Aquaculture Environmental Anomaly Monitoring System," Sustainability, MDPI, vol. 15(7), pages 1-20, March.

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