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Water Environment Early Warning System in Tongzhou District

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Geo-Informatics in Resource Management and Sustainable Ecosystem ( 2015, GRMSE 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 569))

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Abstract

Water environment early warning is an effective mean to predict and evaluate the impacts of droughts or water pollutions and provide a basis for decision-making to relieve the damage, which will be beneficial to social security and economic development. Taking Tongzhou District, Nantong City as the research area, this paper established a water environment early warning system based on Microsoft Visual Basic 6.0, the main functions of which include gradual changing and sudden water environment early warning modules. Then the paper simulated an industrial wastewater leakage accident in Tongzhou District and calculated the influence time, influence scale and warning level. The result demonstrates that this early warning system is practicable and can be applied to provide technical supports for relevant departments to take emergency measures.

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Acknowledgments

This research was supported by the projects initiated by the Department of Science and Technology of Jiangsu Provincial Water Resources Department. The authors would like to thank the help of Hydrological Bureau of Nantong City and Tongzhou District Water Conservancy Bureau.

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Authors and Affiliations

  1. College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, People’s Republic of China

    Xiuju Zhang, Jiahuan Li, Wenrong Zhao & Kaisen Ding

Authors
  1. Xiuju Zhang
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  2. Jiahuan Li
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  3. Wenrong Zhao
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  4. Kaisen Ding
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Corresponding author

Correspondence to Xiuju Zhang .

Editor information

Editors and Affiliations

  1. Wuhan University , Wuhan, China

    Fuling Bian

  2. Eastern Michigan University , Ypsilanti, China

    Yichun Xie

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Zhang, X., Li, J., Zhao, W., Ding, K. (2016). Water Environment Early Warning System in Tongzhou District. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_87

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  • DOI: https://doi.org/10.1007/978-3-662-49155-3_87

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49154-6

  • Online ISBN: 978-3-662-49155-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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