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Study on POPs Emissions Prediction Based on GM(1,1) Model

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Fuzzy Information and Engineering Volume 2

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 62))

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Abstract

In this paper, the prediction gray model GM(1,1) was applied to the prediction and analysis of Persistent Organic Pollutants (POPs) emissions. Through the analysis of the data, the emissions of POPs of Secondary Copper industry in some region from 2005 to 2007, the emissions of POPs from 2008 to 2009 are obtained respectively, which can provide technical supports for our country to control POPs emissions.

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© 2009 Springer-Verlag Berlin Heidelberg

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Li, Xk., Huang, Sx., Zhou, Jm., Liu, F. (2009). Study on POPs Emissions Prediction Based on GM(1,1) Model. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_173

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  • DOI: https://doi.org/10.1007/978-3-642-03664-4_173

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03663-7

  • Online ISBN: 978-3-642-03664-4

  • eBook Packages: EngineeringEngineering (R0)

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