2009
DOI: 10.1016/j.cej.2009.03.023
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Treatment of leather plant effluent using NF followed by RO and permeate flux prediction using artificial neural network

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Cited by 50 publications
(14 citation statements)
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“…Treatment plants either individually or collectively had been set up to deal with the wastewater management. Advanced treatment systems such as reverse osmosis (Purkait et al, 2009), micro-filtration (Bhattacharya et al, 2013, nano filtration (GalianaAleixandre et al, 2005(GalianaAleixandre et al, , 2011 and electrochemical oxidation (Panizza et al, 2004, Costa et al, 2010and Sundarapandiyan et al, 2010 have been implemented to treat tannery effluents. Such initiatives were only effective in addressing the issue of wastewater management.…”
Section: Statistics Show That the Global Leather Industry Generates 5mentioning
confidence: 98%
“…Treatment plants either individually or collectively had been set up to deal with the wastewater management. Advanced treatment systems such as reverse osmosis (Purkait et al, 2009), micro-filtration (Bhattacharya et al, 2013, nano filtration (GalianaAleixandre et al, 2005(GalianaAleixandre et al, , 2011 and electrochemical oxidation (Panizza et al, 2004, Costa et al, 2010and Sundarapandiyan et al, 2010 have been implemented to treat tannery effluents. Such initiatives were only effective in addressing the issue of wastewater management.…”
Section: Statistics Show That the Global Leather Industry Generates 5mentioning
confidence: 98%
“…Among all the pollution causing effects, waste water released from different segments of society is one of the most prime causes [1]. An important source of water contamination is the disposal of dye pollutants mainly from the textile industry and the rest is from dyes, pigment, leather, food, paper industries, etc.…”
Section: Introductionmentioning
confidence: 99%
“…Several studies have been considered for the application of ANN in modeling of various processes in membrane technology [1][2][3][4][5][6][7][8][9][10]. A feed-forward ANN was developed by Abbas and Al-Bastaki [1] for the prediction of a reverse osmosis (RO) performance using a FilmTec SW30 membrane for desalination of various salt solutions ranging between brackish water and seawater salinities.…”
Section: Introductionmentioning
confidence: 99%
“…A feed-forward ANN was developed by Abbas and Al-Bastaki [1] for the prediction of a reverse osmosis (RO) performance using a FilmTec SW30 membrane for desalination of various salt solutions ranging between brackish water and seawater salinities. Purkait and collaborators [2] employed two ANN models for prediction of the permeate flux when treating a leather plant effluent by nanofiltration (NF) process followed by reverse osmosis (RO). Zhao and co-workers [3] have performed a comparison between a modified solution diffusion model and ANN to predict RO/NF water quality effluent.…”
Section: Introductionmentioning
confidence: 99%