The Decision-Making Method of Model Municipal Wastewater Treatment Plant Based on Cost Model and Hierarchical Structure Model

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In this paper, three types of urban sewage treatment cost model, Oxidation ditch, ICEAS and A2/O are established respectively. The cost model and the analytic hierarchy process (AHP) were applied to sewage treatment plant for process optimization. It provides guidance for urban sewage treatment process decision-making.

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1732-1739

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October 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Shanghai Municipal Engineering Design Institute. Municipal engineering investment estimate preparation approach [M]. Beijing: China Planning Press, 2007. 11.

Google Scholar

[2] Shanghai Municipal Engineering Design Institute. Water supply and drainage design manual (Volume 10: Economic Handbook) [M]. Beijing: China Building Industry Press, (2000).

Google Scholar

[3] Qing Zhang, Gaojian Zhang. Water engineering economy [M]. Beijing: China Building Industry Press, (2002).

Google Scholar

[4] Xiaoying Liu. Urban sewage regeneration reuse cost model and cost analysis [D]. Xi'an: Xi'an University of Architecture and Technology, (2003).

Google Scholar

[5] Huiwen Wang. Linear and nonlinear method of partial least-squares regression [M]. Beijing: National Defense of Industry Press, 2006. 9.

Google Scholar

[6] Xingzhou Wang. Nonlinear model parameters estimation theory and application [M]. Wuhan: Wuhan University Press, 2002. 6.

Google Scholar

[7] Xizhi Wu. Modern regression model diagnosis [M]. Beijing: China Statistics Press, 2003. 6.

Google Scholar

[8] Changlin Mei. Data analysis method [M]. Bejing: Higher Education Press, 2006. 2.

Google Scholar

[9] Yan Lv. Typical urban secondary sewage treatment plant cost model and optimization design [D]. Kunming: Kunming University of Science and Technology, (2009).

Google Scholar