Synthetic Assessment Method with Cloud Theory for Marine Water Quality

Article Preview

Abstract:

A synthetic assessment method and systematic procedure are developed in this paper based on cloud theory. The calibration results work well in one building site of Bohai Bay. This shows the presented method has advantages of concision and easy-operation, and the randomness and ambiguity can reacted in the assessment procedure, so the assessment results are practical significance.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

821-826

Citation:

Online since:

February 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Y.Q. Qian. Macro-economic social evaluation of water resources planning in Dongguang using fuzzy comprehensive evaluation method. Zhujiang Modern Construction, Vol. 6(2006), p.1 (in Chinese).

Google Scholar

[2] H.M. Wang, W.X. L, G. Xin, et al. Application of grey clustering method for surface water quality evaluation. Water Saving Irrigation, Vol. 5(2007), p.20 (in Chinese).

Google Scholar

[3] J. He, X.L. Hu, L. Qiu, et al. Fuzzy matter-element model for the evaluation of water quality of lake. Journal of North China Institute of Water Conservancy and Hydroelectric Power, Vol. 28(2007), p.97 (in Chinese).

Google Scholar

[4] X. Wang. Comprehensive evaluation of water quality based on application of projection pursuit model. Ground Water, Vol. 33(2011), p.5 (in Chinese).

Google Scholar

[5] S.Y. Chen, Y.W. Li. Water quality evaluation based on fuzzy artificial neural network. Advances in Water Science, Vol. 16(2005), p.88 (in Chinese).

Google Scholar

[6] M.C. Li, G.Y. Zhang, X.Y. You. Set pair analysis method with nonlinear membership function for sea water quality assessment. Journal of Hebei University of Technology, Vol. 39(2010), p.81 (in Chinese).

Google Scholar

[7] J.Z. Li, X.Z. Liu. The application research of the theory of uncertainty set pair analysis in seawater eutrophication assessment. Mathematics in Practice and Theory, Vol. 39(2009), p.84 (in Chinese).

Google Scholar

[8] D.Y. Li, Y. Du. Artificial intelligence with uncertainty. Beijing: National Defence Industry Press, 2005. (in Chinese).

Google Scholar

[9] B. Fu, D.G. Li, M.K. Wang. Review and prospect on research of cloud model. Application Research of Computers, Vol. 28 (2011), p.420 (in Chinese).

Google Scholar

[10] Y.S. Cao, X.N. Chen, W. Zhang, et al. Application of evaluation model based on cloud theory in water resources carrying capacity. Journal of North China Institute of Water Conservancy and Hydroelectric Power, Vol. 31(2010), p.17 (in Chinese).

Google Scholar

[11] M.C. Li, G.Y. Zhang, Q. Si, et al. Multi-systems nonlinear set pair coupling assessment for regional comprehensive carrying capacity. Transactions of Beijing Institute of Technology, Vol. 31(2011), p.1479 (in Chinese).

Google Scholar

[12] S.L. Wu. Basic fuzzy mathematics and program design. China Waterpower Press. 2008. (in Chinese).

Google Scholar

[13] X.H. Liu. Analysis on environment situation of coastal areas of Bohai Sea. Environmental Protection Science, vol. 36(2010), p.14 (in Chinese).

Google Scholar

[14] State Bureau of Environmental Protection, State Bureau of Technical Supervision. Sea water quality standard GB 3097-1997. Beijing: China Environmental Science Press, 1997, p.2 (in Chinese).

Google Scholar