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The Research of China’s Urban Smart Environmental Protection Management Mode

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Geo-Informatics in Resource Management and Sustainable Ecosystem (GRMSE 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 482))

Abstract

The application of the Internet of Things (IOT) and next-generation information technology makes the digital environmental protection become smart environmental construction, and therefore makes our government’s environmental management mode being changed. By studying some smart city application cases and literatures, this paper not only proposed the government management’s operation mode and organization structure for the smart environmental protection, but also discussed an effective method to improve the working efficiency.

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References

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Author information

Authors and Affiliations

  1. College of Economic and Management, Wuhan University, No.129 Luoyu Road, Wuhan, Hubei, China, 430072

    Yan Zhang

  2. College of Earth Science, China University of Geosciences, No.388 Lumo Road, Wuhan, Hubei, China, 430074

    Na Li

  3. International School of Software, Wuhan University, Luoyu Road, 430079, Wuhan, Hubei, China

    Yun Zhang

Authors
  1. Yan Zhang
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  2. Na Li
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  3. Yun Zhang
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Editor information

Editors and Affiliations

  1. Wuhan University, China

    Fuling Bian

  2. Institute for Geospatial Research and Education, Eastern Michigan University, 125 King Hall, 48197, Ypsilanti, Michigan, USA

    Yichun Xie

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© 2015 Springer-Verlag Berlin Heidelberg

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Cite this paper

Zhang, Y., Li, N., Zhang, Y. (2015). The Research of China’s Urban Smart Environmental Protection Management Mode. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2014. Communications in Computer and Information Science, vol 482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45737-5_42

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  • DOI: https://doi.org/10.1007/978-3-662-45737-5_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45736-8

  • Online ISBN: 978-3-662-45737-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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