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Evaluation on Water Quality Risk Based on Unascertained Mathematics Theory of Wohushan Reservoir

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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

Based on unascertained mathematics theory, with unascertained rational number used for single factor quality risk assessment and AHP applied to weight the detection indexes to evaluate the comprehensive risk of water quality on Wohushan reservoir, the calculated results indicated the maximum risk possibility of water quality due to six Pollutants is 0.7368, meanwhile the over standard discharge degree of risk possibility is 73.68%. With the uncertainty characteristics of risk assessment on water quality, the unascertained mathematics theory has better system performance over uncertainty of the parametric information.

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Author information

Authors and Affiliations

  1. School of Resources and Environment, University of Jinan, Jinan, China

    Min Du, ZhengHe Xu & XiuFeng Xu

Authors
  1. Min Du
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  2. ZhengHe Xu
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  3. XiuFeng Xu
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Editor information

Editors and Affiliations

  1. Wuhan Section Special No.1, International Science & Education Researcher Association, Jiangxia Road of Wuhan, Wuhan, China

    David Jin

  2. Guangzhou Section, International Science & Education Researcher Association, No.144, Jinheng Road Jinbi Garden 85-1102 southern Road of Industry Avenue Haizhu District, Guangzhou, Guang Dong provience, China

    Sally Lin

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© 2011 Springer-Verlag Berlin Heidelberg

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Du, M., Xu, Z., Xu, X. (2011). Evaluation on Water Quality Risk Based on Unascertained Mathematics Theory of Wohushan Reservoir. 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_106

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  • DOI: https://doi.org/10.1007/978-3-642-23756-0_106

  • 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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