Research on the New Assessment Model of Water Source Quality Based on Maximum Entropy Principle

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Abstract:

Water source quality is the crucial factor to determine the safety and reliability of urban water supply, and the effective water quality assessment is the premise for water source conservation. Taking a lake system as an example, firstly, the maximum entropy principle was used to analyze the evolution mechanism of the structural changes of lake system. And the nonlinear coupling between the different subsystems of lake system was also analyzed. Secondly, the Self-Organizing feature map neural network was used to simulate the dynamic evolution process of lake system. Finally, a new assessment model for water source quality was established based on the maximum entropy principle. Through application it found that this model achieved the quantitative evaluation of water source quality effectively, and surmounted the inadequate that the precious water quality assessment methods had to determination the weights of the different water quality indicators subjectively.

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Periodical:

Advanced Materials Research (Volumes 403-408)

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2123-2126

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Online since:

November 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] X.L. Zhao, Z.L. Song, K. Yang, et al. Assessment approach to drinking water source quality based on continental distance model with varying weight. Journal of Safety and Environment, vol. 8(5), pp.92-94 (2008).

Google Scholar

[2] J.Z. Qian, R.Z. Li and J.Q. Wang, et al. Environmental health risk assessment for urban water supply source. Shuili Xuebao, vol. (8), pp.90-93 (2004).

Google Scholar

[3] Q.Y. Feng, L.H. Chai. Ecosystem evolution dynamics based on generalized entropy principle. Science & Technology Review, vol. 27(4), pp.36-41 (2009).

Google Scholar

[4] I. Prigogine, I. Stengers. The end of certainty: time, chaos, and the new laws of nature. Paris: Editons Odile Jacob (1996).

Google Scholar

[5] L.H. Chai, M.J. Shu. Self-organization and self-similarity in boiling systems. ASME J Heat Transfer, vol. 124(3), pp.507-515 (2002).

DOI: 10.1115/1.1470490

Google Scholar

[6] L.H. Chai, H.B. Li. A new theoretical analysis on organizing principles of water supply networks. Journal of Water Supply: Research and Technology-AQUA, vol. 56(4), pp.233-244 (2007).

DOI: 10.2166/aqua.2007.002

Google Scholar