Fuzzy Rule-Based Models to Predict the Partition Coefficients of Nickel and Zinc in Aquifer Materials
Publication: Journal of Hazardous, Toxic, and Radioactive Waste
Volume 15, Issue 1
Abstract
This paper presents two rule-based models based on fuzzy set theory, which can be used to approximately predict the adsorption of nickel and zinc in soils. The models consider organic matter content, cation exchange capacity, and pH as the input parameters and provide the partition coefficients of nickel and zinc. The rule-based models were developed using data available in literature. The models were validated using data obtained from laboratory experiments conducted using six different soil types. The calibrated models were then used to generate plots that can be used to obtain approximate partition coefficients for nickel and zinc.
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Acknowledgments
The writers thank NSERC and NRTC (NOVA Chemicals Research and Technology Centre) and TransCanada Pipelines for their financial support of this project. They also thank Dr. Timothy Ross, Drs. Les Stehmeier and Tom Jack from NRTC as well as Mr. Robert Worthingham from TransCanada for numerous discussions and inputs.
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Published In
Journal of Hazardous, Toxic, and Radioactive Waste
Volume 15 • Issue 1 • January 2011
Pages: 2 - 12
Copyright
© 2011 ASCE.
History
Received: Sep 14, 2009
Accepted: Jun 4, 2010
Published online: Jun 12, 2010
Published in print: Jan 2011
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