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

Wei-Jhan Syu, Tsun-Kuo Chang and Shu-Yuan Pan
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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

IJERPH, 2020, vol. 17, issue 3, 1-16

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.

Keywords: heavy metals; stripping voltammetry; data imputation; cloud technology; illegal discharge; improvement strategies (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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