Multiple response optimization of pH, coagulant dose and coagulant types on different water conditions using PACl and PSF
Date of Publication
Master of Science in Chemical Engineering
Gokongwei College of Engineering
Defense Panel Chair
Defense Panel Member
There is a concern over the levels of aluminium in both raw and treated water. Ingestion of aluminum can pose different diseases including dementia and it has been linked to Alzheimer's disease. Several methods such as reverse osmosis and cation exchange resin can be utilized to remove aluminium. However, these methods are expensive. Coagulation, on the other hand, is one of the basic ways on how to eliminate the problem. Central Composite Design was used to investigate the effect of different factors on the coagulation method. Different independent factors including pH, coagulant dose, and coagulant type on different water conditions of different level of turbidity and types of organic matter such as humic and fulvic acid, were studied for simultaneous optimization of turbidity removal, organic matter removal and Aluminium removal. There were 6 optimum sets of factors on different water conditions were determined. Among which, the optimized set of factors, which give the highest desirability value, include pH of 7.7, dose of 60 ppm and coagulant type of PACl1 for highly turbid with no organic matter resulted to 100% turbidity removal and 89.31% aluminum removal. For water with organic matter, pH of 6, dose of 60 ppm and coagulant type of PACl3 resulted to 100% removal of organic matter, 80.85% turbidity removal and 82.22% aluminum removal. PACl3 showed the best coagulation performance among other coagulants.
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Ngo, P. (2015). Multiple response optimization of pH, coagulant dose and coagulant types on different water conditions using PACl and PSF. Retrieved from https://animorepository.dlsu.edu.ph/etd_masteral/5063