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A Water Monitoring and Early Warning System of COD Using UV-Vis Spectroscopy

Received: 12 November 2015     Published: 12 November 2015
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Abstract

A distributed remote water monitoring and early warning system was proposed, which used the UV-Vis spectroscopy, GPS, GIS, 4G network, COD solution and database technology, to solve the problems including long detection cycle, limited scale and the lack of early warning mechanism of the water monitoring. 50 groups of original water sample from Ciqikou to Chaotianmen of Jialing River in Chongqing, China (every 5 km decorate a monitoring node, every 60 minutes collect data) was selected to study distributed remote water monitoring and early warning system of COD in UV-Vis spectroscopy based on 4G networks. The results indicated that through the system, not only the real-time display and storage, historical data query and warning function of water quality monitoring information could be achieved, but also the status of the water quality environment on the basis of COD can be reflected, which has a strong practicability and can provide environmental monitoring departments with real-time water quality information.

Published in International Journal of Environmental Monitoring and Analysis (Volume 3, Issue 5)
DOI 10.11648/j.ijema.20150305.19
Page(s) 298-303
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Water Quality Monitoring of COD, UV-Vis Spectrometry, 4G Networks, Early Warning

References
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Cite This Article
  • APA Style

    Tang Yuan, Wei Biao, Wu De-chao, Liu Juan, Xiong Shuang-fei, et al. (2015). A Water Monitoring and Early Warning System of COD Using UV-Vis Spectroscopy. International Journal of Environmental Monitoring and Analysis, 3(5), 298-303. https://doi.org/10.11648/j.ijema.20150305.19

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    ACS Style

    Tang Yuan; Wei Biao; Wu De-chao; Liu Juan; Xiong Shuang-fei, et al. A Water Monitoring and Early Warning System of COD Using UV-Vis Spectroscopy. Int. J. Environ. Monit. Anal. 2015, 3(5), 298-303. doi: 10.11648/j.ijema.20150305.19

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    AMA Style

    Tang Yuan, Wei Biao, Wu De-chao, Liu Juan, Xiong Shuang-fei, et al. A Water Monitoring and Early Warning System of COD Using UV-Vis Spectroscopy. Int J Environ Monit Anal. 2015;3(5):298-303. doi: 10.11648/j.ijema.20150305.19

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  • @article{10.11648/j.ijema.20150305.19,
      author = {Tang Yuan and Wei Biao and Wu De-chao and Liu Juan and Xiong Shuang-fei and Zhang Zhen and Tang Ge and Feng Peng},
      title = {A Water Monitoring and Early Warning System of COD Using UV-Vis Spectroscopy},
      journal = {International Journal of Environmental Monitoring and Analysis},
      volume = {3},
      number = {5},
      pages = {298-303},
      doi = {10.11648/j.ijema.20150305.19},
      url = {https://doi.org/10.11648/j.ijema.20150305.19},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijema.20150305.19},
      abstract = {A distributed remote water monitoring and early warning system was proposed, which used the UV-Vis spectroscopy, GPS, GIS, 4G network, COD solution and database technology, to solve the problems including long detection cycle, limited scale and the lack of early warning mechanism of the water monitoring. 50 groups of original water sample from Ciqikou to Chaotianmen of Jialing River in Chongqing, China (every 5 km decorate a monitoring node, every 60 minutes collect data) was selected to study distributed remote water monitoring and early warning system of COD in UV-Vis spectroscopy based on 4G networks. The results indicated that through the system, not only the real-time display and storage, historical data query and warning function of water quality monitoring information could be achieved, but also the status of the water quality environment on the basis of COD can be reflected, which has a strong practicability and can provide environmental monitoring departments with real-time water quality information.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - A Water Monitoring and Early Warning System of COD Using UV-Vis Spectroscopy
    AU  - Tang Yuan
    AU  - Wei Biao
    AU  - Wu De-chao
    AU  - Liu Juan
    AU  - Xiong Shuang-fei
    AU  - Zhang Zhen
    AU  - Tang Ge
    AU  - Feng Peng
    Y1  - 2015/11/12
    PY  - 2015
    N1  - https://doi.org/10.11648/j.ijema.20150305.19
    DO  - 10.11648/j.ijema.20150305.19
    T2  - International Journal of Environmental Monitoring and Analysis
    JF  - International Journal of Environmental Monitoring and Analysis
    JO  - International Journal of Environmental Monitoring and Analysis
    SP  - 298
    EP  - 303
    PB  - Science Publishing Group
    SN  - 2328-7667
    UR  - https://doi.org/10.11648/j.ijema.20150305.19
    AB  - A distributed remote water monitoring and early warning system was proposed, which used the UV-Vis spectroscopy, GPS, GIS, 4G network, COD solution and database technology, to solve the problems including long detection cycle, limited scale and the lack of early warning mechanism of the water monitoring. 50 groups of original water sample from Ciqikou to Chaotianmen of Jialing River in Chongqing, China (every 5 km decorate a monitoring node, every 60 minutes collect data) was selected to study distributed remote water monitoring and early warning system of COD in UV-Vis spectroscopy based on 4G networks. The results indicated that through the system, not only the real-time display and storage, historical data query and warning function of water quality monitoring information could be achieved, but also the status of the water quality environment on the basis of COD can be reflected, which has a strong practicability and can provide environmental monitoring departments with real-time water quality information.
    VL  - 3
    IS  - 5
    ER  - 

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Author Information
  • College of Optoelectronic Engineering, Chongqing University, Chongqing ,China

  • College of Optoelectronic Engineering, Chongqing University, Chongqing ,China

  • College of Optoelectronic Engineering, Chongqing University, Chongqing ,China

  • College of Optoelectronic Engineering, Chongqing University, Chongqing ,China

  • College of Optoelectronic Engineering, Chongqing University, Chongqing ,China

  • College of Optoelectronic Engineering, Chongqing University, Chongqing ,China

  • College of Optoelectronic Engineering, Chongqing University, Chongqing ,China

  • College of Optoelectronic Engineering, Chongqing University, Chongqing ,China

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