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Stochastic modeling of filtrate alkalinity in water filtration devices: transport through micro/nano porous clay based ceramic materials

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Clay and plant materials such as wood are the raw materials used in manufacture of ceramic water filtration devices around the world. A step by step manufacturing procedure which includes initial mixing, molding and sintering is used. The manufactured ceramic filters have numerous pores which help in water filtration. These filters fare well in microbial filtration but are plagued with alkalinity of filtrate during early use. Change in alkalinity between the water influent and effluent is defined by the difference in their corresponding pH. The development of alkalinity is a function of filtration time and the material property of the ceramic filtration devices discussed in this article. Macroscopic parameters such as degree of change in turbidity, electrical conductivity and temperature between the filter influent and effluent are the electro kinetic variables also used in the prediction of alkalinity. Flow rate through porous filtration devices influence alkalinity. The electro kinetic variables, flow and time are interdependent on each other. Multivariate stochastic regression technique is used to demonstrate the individual effect of these predictor variables.
Plappally, Anand , Soboyejo, Alfred , Fausey, Norman , Soboyejo, Winston , Brown, Larry
ARS submission
Journal of natural & environmental sciences 2010, v. 1, no. 2
Journal Articles, USDA Authors, Peer-Reviewed
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