Comparitive Study of Sewage Water Using Plant Based Natural Coagulants

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2020-09-22T10:26:50Z
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ABSTRACT: Coagulation is the processes in water treatment systems. It is done to remove colloidal as well as suspended particles that will not settle under plain sedimentation. Usually chemical coagulants like Alum and Ferric chloride are used for this purpose. Recent studies emphasis that these chemical coagulants are associated with Neurotoxicity and other polluting effects on environments. So here we were analyzed the efficiency of some locally available plants like Moringa, Cactus, and Aloevera for its coagulation efficiency. The improvement of water quality parameters like PH, Chlorides, BOD, DO, and COD after treating with natural coagulants were also assessed. Moringa powder gave a removal efficiency of 97.5% with a dosage of 70mg/l and Cactus has 87.6% removal with 60 mg/l. Aloevera could not give an efficient result that is necessary for an independent coagulant. It could give only 67% of removal efficiency in its optimum dosage. Coagulation is highly dependent on many physio chemical parameters like initial turbidity, PH, temperature, contact time. For the complete analysis of natural coagulant as a substitute for conventional synthetic coagulants, all these factors should be considered in deep. So an optimization study was done to find the optimum condition for getting economical and efficient results from natural coagulants. Optimization study included the analysis of change in turbity removal with initial turbidity, PH, temperature, contact time. For that initial turbidity is varied artificially and it is tested for low (40 NTU), Medium (100NTU) and High (180NTU) turbidities. PH is varied between 4 and 9. A temperature range of study was 10, 20, 35, 40°c. The contact time was varied as 0.5 to 1.5 hours. Optimization study could improve the efficiency of natural coagulant to a very high extend.
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JAYANTH D V, MOHAN KUMAR HOSAMANE, NAVITH KUMAR T S, PRADEEP REDDY T S, 1NH16CV044, 1NH16CV070, 1NH16CV071, 1NH16CV078
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