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Shanghai Hangzhou Bay North Shore Water Environment Impact Assessment Based on Grey Recognition Model

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Advances in Computer Science, Intelligent System and Environment

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 105))

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Abstract

Water environment in coastal area has been a hot spot for coastal ecological environment research of our country. Based on grey recognition mode, this Paper analyzes the water environment quality of Shanghai Hangzhou Bay north shore coastal artificial bathing place in the spatial-temporal perspectives and researches the influence of coastal artificial bathing place construction on costal water environment. The research results reveal that: Coastal artificial bathing place is beneficial for protecting and improving coastal water body environmental quality and different management modes on coastal artificial bathing place present different temporal features on protection of coastal water body; in tourist peak season, environmental management improves the surrounding water environmental quality of artificial bathing place; in the same coastal artificial bathing place, tourist activities cause different levels of influences on water body environment due to different adopted water body purifying technologies.

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© 2011 Springer-Verlag Berlin Heidelberg

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Liu, Sd., Gao, J. (2011). Shanghai Hangzhou Bay North Shore Water Environment Impact Assessment Based on Grey Recognition Model. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23756-0_80

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  • DOI: https://doi.org/10.1007/978-3-642-23756-0_80

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23755-3

  • Online ISBN: 978-3-642-23756-0

  • eBook Packages: EngineeringEngineering (R0)

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