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Modelling of initial pH influence on textile dye removal from water using electrocoagulation method –<br />

experimental and statistical approach<br />

Khalid Hashim, Andy Shaw, Rafid Al Khaddar 1 , Montse Ortoneda Pedrola, Anmar Dulaimi, Hassnen Jafer 1 ,<br />

Hayder Shanbara.<br />

A wide broad of previously published works demonstrated that the performance of the electrocoagulation (EC) method is<br />

highly influenced by the initial pH of the solution because it influences the chemistry of solution, surface charges and<br />

speciation of the produced coagulants.<br />

The present project therefore, has been devoted to model the influence of this key parameter on textile dye removal from<br />

water. Initially, the influence of initial pH on reactive black 5 dye (RB5) removal was investigated by electrolysing water<br />

samples having 25 mg/L of RB5 at different initial pHs (4 to 8). These samples were electrolysed for 50 min at a constant<br />

flow rate of 1 L/h, current density of 2 mA/cm 2 , inter-electrodes distance of 4 mm, and water conductivity of 0.32 mS/cm.<br />

The obtained results indicated that the performance of the EC unit, in terms of RB5 removal, is highly influenced by the<br />

initial pH of water being treated. It has been found that the acidic environment is favourite for RB5 removal, where it was<br />

noticed that the RB5 removal efficiency decreased from 99.6% to 87.1% as the initial pH increased from 4 to 8,<br />

respectively.<br />

Statistically, it has been found that the influence of the initial pH on the performance of the EC unit, in terms of RB5<br />

removal, could be modelled with R 2 of 0.781, which means that the developed model can explain 78.1% of the relationship<br />

between the variation in RB5 removal and the change of the initial pH of water.<br />

Application of Data Mining Techniques to Predict the Removal Efficiency of Chemical Oxygen Demand in<br />

Wastewater Treatment<br />

Umar Iliyasu, R.H.K Ak-Iswai and M Scholz<br />

COD is one of the water quality performance indicators that when measure determines and monitor the clarity of waste<br />

water sample from influent to effluent of vertical-flow constructed wetland treating domestic wastewater from treatment<br />

plant. It measures the amount of organic matter contained in a wastewater sample. This work, Weka modelling software<br />

was employed and used to develop model for the estimation, evaluation and prediction of the wastewater effluent’s<br />

organic matter (COD) removal efficiency performance. Different type of variables used in this work are Suspended Solid<br />

(SS), pH, Biological Oxygen Demand (BOD) Dissolve Oxygen (Do), Ortho-phosphate-phosphorus (PO₄-P), Ammonia (NH4-<br />

N) and Temperature were considered to be used as inputs while COD serves as a parameter to be predicted (output). The<br />

results showed that there is significant improvement in organic matter (pollutants) removal efficiency (p

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