International Journal of Environmental Monitoring and Analysis

| Peer-Reviewed |

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

Received: 12 November 2015    Accepted:     Published: 12 November 2015
Views:       Downloads:

Share This Article

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.

DOI 10.11648/j.ijema.20150305.19
Published in International Journal of Environmental Monitoring and Analysis (Volume 3, Issue 5, October 2015)
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), 2024. Published by Science Publishing Group

Keywords

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

References
[1] Storey M V, van der Gaag B, Burns B P. Advances in on-line drinking water quality monitoring and early warning systems[J]. Water Research. 2011, 45(2): 741-747.
[2] 魏康林,温志渝,武新,等. 基于紫外-可见光谱分析的水质监测技术研究进展[J]. 光谱学与光谱分析. 2011(04): 1074-1077.
[3] 侯迪波,张坚,陈泠,等. 基于紫外-可见光光谱的水质分析方法研究进展与应用[J]. 光谱学与光谱分析. 2013(07): 1839-1844.
[4] 汤斌,赵敬晓,魏彪,等. 一种紫外-可见光谱检测水质COD预测模型优化方法[J]. 中国环境科学. 2015(02): 478-483.
[5] 孙荣霞,王丽华,张俊林. 支持向量机的紫外吸光法COD检测仪研制[J]. 中国仪器仪表. 2008(02): 79-82.
[6] Singh K P, Basant N, Gupta S. Support vector machines in water quality management[J]. Analytica Chimica Acta. 2011, 703(2): 152-162.
[7] 陈华凌,陈岁生,张仁政. 基于Zigbee无线传感器网络的水环境监测系统[J]. 仪表技术与传感器. 2012(01): 71-73.
[8] Jiang P, Xia H, He Z, et al. Design of a Water Environment Monitoring System Based on Wireless Sensor Networks[J]. Sensors. 2009, 9(8): 6411-6434.
[9] Zulhani Rasin, Mohd Rizal Abdullah. Water Quality Monitoring System Using Zigbee Based Wireless Sensor Network[J]. International Journal of Engineering & Technology,2009,9(10), 24-28.
[10] Argent R M, Perraud J M, Rahman J M, et al. A new approach to water quality modelling and environmental decision support systems[J]. Environmental Modelling & Software. 2009, 24(7): 809-818.
[11] 翟战强,蔡少华. 基于GPRS/GPS/GIS的车辆导航与监控系统[J]. 测绘通报. 2004(02): 34-36.
[12] 徐兴,岳学军,林涛. 基于ZigBee网络的水环境无线监测系统设计[J]. 华南农业大学学报. 2013(04): 593-597.
[13] 杨成成,汪雄海. 城市污水排放实时监控界面及查询优化设计[J]. 机电工程. 2008(12): 70-73.
[14] GE YING-CHUN, LI XIN, Huang CHUN-LIN, et al. A Decision Support System for irrigation water allocation along the middle reaches of the Heihe River Basin, Northwest China [J]. Environmental Modelling & Software, 2013, 47: 182-192.
[15] 刘卉,汪懋华,王跃宣,等. 基于无线传感器网络的农田土壤温湿度监测系统的设计与开发[J]. 吉林大学学报(工学版). 2008(03): 604-608.
[16] GAO CHAO, DU JIN-LING. Adaptive heartbeat mechanism for meteorology operation command system based on GPRS[C]. Science and Engineering, 2009,2522-2525.
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 Automation,Chongqing Industry Polytechnic College, 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

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

    Copy | Download

    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

    Copy | Download

    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

    Copy | Download

  • @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://download.sciencepg.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}
    }
    

    Copy | Download

  • 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  - 

    Copy | Download

  • Sections