Study on Integrated Approaches of Water Resources Allocation in Tianjin

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Abstract:

This study investigated the characteristics of various water resources in Tianjin, explored the needs for the study of water resources allocation, and identified the current issues of water resources allocation in Tianjin. The water resources allocation framework was established by adopting the cultural algorithm approach. A case study was done for Tianjin by utilizing this framework to evaluate the water resources allocation in 2008. It shows that the integrated approach of water resources allocation can effectively relieve the water shortage pressure of Tianjin, maximize the benefits for the limited water resources. This study provides a theoretical guidance for the water resources allocation in this area.

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Periodical:

Advanced Materials Research (Volumes 243-249)

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4516-4519

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Online since:

May 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Yunya He. A study on rational distribution of water resources of Tianjin municipality [D]. Tianjin University,2005(in Chinese)

Google Scholar

[2] Yuchuan Cui, Fuxiang Dong. Cities and industrial water saving manual [M] Beijing : Chemical industry press ,2002:33-34. (in Chinese)

Google Scholar

[3] Yan Han, Shiguo Xu. Journal of Liaoning Technical University, 2005,(05) (in Chinese)

Google Scholar

[4] Yang Yu, Jindi Zhou, Xianjun Wang. Journal of Liaoning Technical University, 2002,21(3)3:388-391. (in Chinese)

Google Scholar

[5] Guohua Liang, Bin He, Yufeng Lu. Water Resources and Power, 2008, (06) (in Chinese)

Google Scholar

[6] Guofeng Dong, Yunya He, Xiaodong Wang. China Water & Wastewater, 2006,(20) (in Chinese)

Google Scholar

[7] Hongyuan Fang. The theory of water-quantity control in the Regional integrated allocation of water resources[M].Zhengzhou:The Yellow River Water Conservancy Press,2004:11-12.

Google Scholar

[8] Hao Wang, Jianhua Wang, Dayong Qing. Advances in Water Science,2004,(01) (in Chinese)

Google Scholar

[9] Jin X, Reynolds R G. Using knowledge-based evolutionary computation to solve nonlinear constraint optimization problems: a cultural algorithm approach. In: Proceedings of 1999 Congress on Evolutionary Computation.Washington: IEEE, 1999. 1672-1678

DOI: 10.1109/cec.1999.785475

Google Scholar