American Society of Civil Engineers


Fuzzy Rule-Based Models to Predict the Partition Coefficients of Nickel and Zinc in Aquifer Materials


by D. G. M. Senevirathna, (Environmental Engineer, Cirrus Environmental Services Inc., 10, 1916, 30th Ave. NE, Calgary, AB, Canada T2E 7B2.), G. Achari, (corresponding author), (Professor, Dept. of Civil Engineering, Univ. of Calgary, Calgary, AB, Canada T2N 1N4), and F. King, (Senior Scientist, NOVA Chemicals Research and Technology Centre, 2928 16th St. NE, Calgary, AB, Canada T2E 7K7.)

Journal of Hazardous, Toxic, and Radioactive Waste Management, Vol. 15, No. 1, January 2011, pp. 2-12, (doi:  http://dx.doi.org/10.1061/(ASCE)HZ.1944-8376.0000044)

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Document type: Journal Paper
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.


ASCE Subject Headings:
Adsorption
Heavy metals
Zinc
Fuzzy sets
Soil pollution
pH
Predictions

Author Keywords:
Partition coefficient
Adsorption
Nickel
Zinc
Fuzzy logic
Rule-based model