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Establishment of an Automatic Real-Time Monitoring System for Irrigation Water Quality Management
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 moni...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038173/ https://www.ncbi.nlm.nih.gov/pubmed/31979250 http://dx.doi.org/10.3390/ijerph17030737 |
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author | Syu, Wei-Jhan Chang, Tsun-Kuo Pan, Shu-Yuan |
author_facet | Syu, Wei-Jhan Chang, Tsun-Kuo Pan, Shu-Yuan |
author_sort | Syu, Wei-Jhan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7038173 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70381732020-03-10 Establishment of an Automatic Real-Time Monitoring System for Irrigation Water Quality Management Syu, Wei-Jhan Chang, Tsun-Kuo Pan, Shu-Yuan Int J Environ Res Public Health Article 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. MDPI 2020-01-23 2020-02 /pmc/articles/PMC7038173/ /pubmed/31979250 http://dx.doi.org/10.3390/ijerph17030737 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Syu, Wei-Jhan Chang, Tsun-Kuo Pan, Shu-Yuan Establishment of an Automatic Real-Time Monitoring System for Irrigation Water Quality Management |
title | Establishment of an Automatic Real-Time Monitoring System for Irrigation Water Quality Management |
title_full | Establishment of an Automatic Real-Time Monitoring System for Irrigation Water Quality Management |
title_fullStr | Establishment of an Automatic Real-Time Monitoring System for Irrigation Water Quality Management |
title_full_unstemmed | Establishment of an Automatic Real-Time Monitoring System for Irrigation Water Quality Management |
title_short | Establishment of an Automatic Real-Time Monitoring System for Irrigation Water Quality Management |
title_sort | establishment of an automatic real-time monitoring system for irrigation water quality management |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038173/ https://www.ncbi.nlm.nih.gov/pubmed/31979250 http://dx.doi.org/10.3390/ijerph17030737 |
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