Design Optimization of River Sampling Network Using Genetic Algorithms
Publication: Journal of Water Resources Planning and Management
Volume 134, Issue 1
Abstract
A methodology for determining the optimal spatial distribution of a river pollutant detection network using a geographic information system and genetic algorithms (GAs) is developed. Two case studies are investigated to evaluate the performance of the developed methodology: (1) a hypothesized river system consisting of only 11 reaches; (2) the Logan and Albert Rivers in Southeast Queensland. Plausible results are obtained, encouraging the possibility of applying GAs in designing a river monitoring network.
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Acknowledgments
The writers wish to express sincere gratitude to the referees for their helpful comments on shaping the paper.
References
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 134 • Issue 1 • January 2008
Pages: 83 - 87
Copyright
© 2008 ASCE.
History
Received: Sep 9, 2005
Accepted: Jan 16, 2007
Published online: Jan 1, 2008
Published in print: Jan 2008
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