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Int. J. Environ. Res. Public Health 2014, 11(4), 4108-4124; doi:10.3390/ijerph110404108

Applying the Taguchi Method to River Water Pollution Remediation Strategy Optimization

Department of Civil Engineering, National Taiwan University, Taipei 10617, Taiwan
Wastewater Sewerage System Engineering Division, Water Resources Department, New Taipei City government 234, Taiwan
MWH Americas Inc., Taiwan Branch 106, Taiwan
Author to whom correspondence should be addressed.
Received: 27 February 2014 / Revised: 2 April 2014 / Accepted: 8 April 2014 / Published: 15 April 2014
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Optimization methods usually obtain the travel direction of the solution by substituting the solutions into the objective function. However, if the solution space is too large, this search method may be time consuming. In order to address this problem, this study incorporated the Taguchi method into the solution space search process of the optimization method, and used the characteristics of the Taguchi method to sequence the effects of the variation of decision variables on the system. Based on the level of effect, this study determined the impact factor of decision variables and the optimal solution for the model. The integration of the Taguchi method and the solution optimization method successfully obtained the optimal solution of the optimization problem, while significantly reducing the solution computing time and enhancing the river water quality. The results suggested that the basin with the greatest water quality improvement effectiveness is the Dahan River. Under the optimal strategy of this study, the severe pollution length was reduced from 18 km to 5 km. View Full-Text
Keywords: water pollution remediation; optimization; Taguchi method; orthogonal arrays water pollution remediation; optimization; Taguchi method; orthogonal arrays

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MDPI and ACS Style

Yang, T.-M.; Hsu, N.-S.; Chiu, C.-C.; Wang, H.-J. Applying the Taguchi Method to River Water Pollution Remediation Strategy Optimization. Int. J. Environ. Res. Public Health 2014, 11, 4108-4124.

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