Genetic Algorithm Solution of a Gray Nonlinear Water Environment Management Model Developed for the Liming River in Daqing, China
Publication: Journal of Environmental Engineering
Volume 133, Issue 3
Abstract
This paper presents the genetic algorithm (GA) solution of a gray nonlinear water environment management model we developed for the Liming River basin in Daqing, China to improve the water environment management. The model has been developed by both optimizing the operation of wastewater treatment plants and making full use of assimilative capacity of the river so that the optimum integration of these two measures can keep the water quality in the Liming River basin up to a satisfactory standard at a reasonable cost. It can be used as an example to illustrate the potential application of a GA-based gray nonlinear programming in the field of water environment management.
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Acknowledgments
The writers would like to thank the National 863 High-Tech Research Foundation of China (No. UNSPECIFIED2003AA601090) and the National Basis Research Program of China (973 Program, No. UNSPECIFIED2004CB418505) for their financial support, and anonymous referees for their valuable comments.
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Information & Authors
Information
Published In
Journal of Environmental Engineering
Volume 133 • Issue 3 • March 2007
Pages: 287 - 293
Copyright
© 2007 ASCE.
History
Received: Jun 15, 2005
Accepted: Jul 31, 2006
Published online: Mar 1, 2007
Published in print: Mar 2007
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