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Water Environment Early Warning in China Ningxia Section of the Yellow River Based on WASP Model

Received: 18 November 2015    Accepted:     Published: 18 November 2015
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Abstract

Ningxia is the severe water shortage in one of the China’s provinces, the Yellow River as the main surface water in Ningxia, since the 90s of last century, water flow in upstream of the Yellow River have been decreasing, and with the advance of "One Belt One Road" conception, the rapid economic and social development in Ningxia, and water environment issues have become increasingly prominent, which seriously restrict the sustainable development of this area. In this paper, WASP model was used to simulate the Ningxia section of the Yellow River water quality, mainly on the water quality monitoring data in 2011 as the current year for simulation of early warning, and considered under the condition of different inflow and water quality improvement the Yellow River water quality early warning. The analysis found that the water quality of the Yellow River is mainly affected by the concentration of the drain, actual the water flow in upstream of the Yellow River has little influence on the water quality.

Published in International Journal of Environmental Monitoring and Analysis (Volume 3, Issue 5)
DOI 10.11648/j.ijema.20150305.24
Page(s) 334-340
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 Environment Early Warning, WASP Model, Different Hydrological Years

References
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[13] Ernst MR, Owens J. Development and application of a WASP model on a large Texas reservoir to assess eutrophication control [J].Lake and Reservoir Management, 2009,25(2):136-148.
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  • APA Style

    Feng Jing, Sun Zhanchao, He Chengmin. (2015). Water Environment Early Warning in China Ningxia Section of the Yellow River Based on WASP Model. International Journal of Environmental Monitoring and Analysis, 3(5), 334-340. https://doi.org/10.11648/j.ijema.20150305.24

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    ACS Style

    Feng Jing; Sun Zhanchao; He Chengmin. Water Environment Early Warning in China Ningxia Section of the Yellow River Based on WASP Model. Int. J. Environ. Monit. Anal. 2015, 3(5), 334-340. doi: 10.11648/j.ijema.20150305.24

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    AMA Style

    Feng Jing, Sun Zhanchao, He Chengmin. Water Environment Early Warning in China Ningxia Section of the Yellow River Based on WASP Model. Int J Environ Monit Anal. 2015;3(5):334-340. doi: 10.11648/j.ijema.20150305.24

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  • @article{10.11648/j.ijema.20150305.24,
      author = {Feng Jing and Sun Zhanchao and He Chengmin},
      title = {Water Environment Early Warning in China Ningxia Section of the Yellow River Based on WASP Model},
      journal = {International Journal of Environmental Monitoring and Analysis},
      volume = {3},
      number = {5},
      pages = {334-340},
      doi = {10.11648/j.ijema.20150305.24},
      url = {https://doi.org/10.11648/j.ijema.20150305.24},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijema.20150305.24},
      abstract = {Ningxia is the severe water shortage in one of the China’s provinces, the Yellow River as the main surface water in Ningxia, since the 90s of last century, water flow in upstream of the Yellow River have been decreasing, and with the advance of "One Belt One Road" conception, the rapid economic and social development in Ningxia, and water environment issues have become increasingly prominent, which seriously restrict the sustainable development of this area. In this paper, WASP model was used to simulate the Ningxia section of the Yellow River water quality, mainly on the water quality monitoring data in 2011 as the current year for simulation of early warning, and considered under the condition of different inflow and water quality improvement the Yellow River water quality early warning. The analysis found that the water quality of the Yellow River is mainly affected by the concentration of the drain, actual the water flow in upstream of the Yellow River has little influence on the water quality.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Water Environment Early Warning in China Ningxia Section of the Yellow River Based on WASP Model
    AU  - Feng Jing
    AU  - Sun Zhanchao
    AU  - He Chengmin
    Y1  - 2015/11/18
    PY  - 2015
    N1  - https://doi.org/10.11648/j.ijema.20150305.24
    DO  - 10.11648/j.ijema.20150305.24
    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  - 334
    EP  - 340
    PB  - Science Publishing Group
    SN  - 2328-7667
    UR  - https://doi.org/10.11648/j.ijema.20150305.24
    AB  - Ningxia is the severe water shortage in one of the China’s provinces, the Yellow River as the main surface water in Ningxia, since the 90s of last century, water flow in upstream of the Yellow River have been decreasing, and with the advance of "One Belt One Road" conception, the rapid economic and social development in Ningxia, and water environment issues have become increasingly prominent, which seriously restrict the sustainable development of this area. In this paper, WASP model was used to simulate the Ningxia section of the Yellow River water quality, mainly on the water quality monitoring data in 2011 as the current year for simulation of early warning, and considered under the condition of different inflow and water quality improvement the Yellow River water quality early warning. The analysis found that the water quality of the Yellow River is mainly affected by the concentration of the drain, actual the water flow in upstream of the Yellow River has little influence on the water quality.
    VL  - 3
    IS  - 5
    ER  - 

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Author Information
  • College of Environmental Science and Engineering, Chang’an University, Xi’an, Shannxi, China

  • College of Environmental Science and Engineering, Chang’an University, Xi’an, Shannxi, China

  • Shaanxi Province Hydrology and Water Resources Survey Bureau, Xi’an, Shannxi, China

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