Prediction of flux decline during membrane filtration of leather plant effluent

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A membrane-based scheme has been proposed for the treatment of leather plant effluent. The effluent coming out from the various steps of leather plant are combined and Nanofiltration (NF) and Reverse Osmosis (RO) are adopted. Performances of two NF membranes are evaluated. Experiments are conducted using an unstirred batch cell. It is observed that a combined operation of NF using 400 MWCO membrane followed by RO operation is better option compared to a single operation of NF with 200 MWCO (membrane). The experimental flux data are correlated and analysed using Artificial Neural Network (ANN).

Keywords: flux decline, membrane filtration, leather plant effluent, ANNs, artificial neural networks, back-propagation algorithm, nanofiltration, reverse osmosis, effluent treatment

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International Journal of Environment and Waste Management (IJEWM)

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