The Raw Water System Combinatorial Optimization Research Based on Arsenic Control

Chun Feng Zhu; Hong Wei Li; Shen Dong; Jie Liu

doi:10.4028/www.scientific.net/AMR.610-613.2472

Paper Titles

Supervision and Significance on the Core Parameters for Steam and Water System in Supercritical Utility Thermal Power Plant
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Design of Data Collection System on Flow Velocity Collection in Small Hydropower Stations
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The Research on the Mechanism of Sodium Hypochlorite Reducing Organic Matter in Boiler Makeup Water
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An Introduction to Vacuum Sewerage System and its Applications in China
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The Raw Water System Combinatorial Optimization Research Based on Arsenic Control
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Mixed Programming Using FORTRAN and VB of Pipe Network for Heating and Air Condition Water System
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Distribution and Transformation of Molecular Weight of Organic Matters in a Canal Water Treatment Procedure
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The Study of LSM-SA Dynamic Thrust Testing Device in the Gate of River and Main Canal
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Hydraulic Behaviors of Settling Tanks under Two Kinds of Configurations
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 610-613The Raw Water System Combinatorial Optimization...

The Raw Water System Combinatorial Optimization Research Based on Arsenic Control

Abstract:

Considering the characteristics of raw water quality and multi-water supply pump station of the raw water system, optimum combination water supply model based on the water quality guarantee are presented. Groundwater supply network topology structure is established. Then, the optimal solutions of the model are obtained, using MATLAB and artificial intelligent optimization technique. The arsenic pollutants in demonstration area are under controlled and the raw water system operation efficiency is enhanced, meeting the water quantity and water pressure at the same time. We put forward a new angle, for composite water quality raw water system optimization modeling.

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Periodical:

Advanced Materials Research (Volumes 610-613)

Pages:

2472-2477

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.610-613.2472

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Online since:

December 2012

Authors:

Chun Feng Zhu, Hong Wei Li, Shen Dong, Jie Liu

Keywords:

Artificial Intelligence (AI), MATLAB, Optimal Operation, Pollutant Control, Raw Water Supply System

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References

[1] Tao Tao, Yu Xia, "Optimal Dispatch Model of Scattered Complex Multi-water Sources Raw Water System". J. Journal of Tongji University (Natural Science Edition)2010. 38(12), pp: 1172-1176.In Chinese.

Google Scholar

[2] Mou Lv, Tuqiao Zhang, and Hongbin Zhao, "On Optimizational Dispatching of Water Supply System".J.Water and Wastewater Engineering, 1999, 25(12), pp: 71-74. In Chinese.

Google Scholar

[3] Lining Xing, Yingwu Chen, "Intelligent Optimization Methods of Episteme and Its Application". D. National University of Defense Technology, 2009. In Chinese.

Google Scholar

[4] Ming Zhou, Shudong Sun, "The principle and application of the genetic algorithm". m. national defence industry Press, 1999. In Chinese.

Google Scholar

[5] Flying Think Technology Product Research and Development Center, "MATLAB 6.5 Auxiliary Optimization Calculation and Design". m. Publishing House of Electronics Industry, 2003: 77.M. Young, The Technical Writer's Handbook. Mill Valley, CA: University Science, 1989. In Chinese.

Google Scholar