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

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.