文章基本信息

标题：Artificial Neural Network Modelling of Shyamala Water Works, Bhopal MP, India: A Green Approach towards the Optimization of Water Treatment Process
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作者：Kriti Shrivastava ; Smita Joshi
期刊名称：Research Journal of Recent Sciences
电子版ISSN：2277-2502
出版年度：2013
卷号：2
页码：26-28
语种：English
出版社：International Science Community Association
摘要：The water industry is striving hard to produce higher quality water at a lower cost due to increased regulatory standards. Municipal Water Treatment Plants can be considered as the industries producing potable water. They also produce huge amount of sludge after coagulation sedimentation in the clarri- flocculator unit which is a type of waste effluent containing large amount of aluminium and organic contaminants. Commonly it is discharged into surface water without proper treatment and hence causes water pollution. Aluminium salts extensively used for coagulation has been implicated in dialysis dementia, Parkinson and Alzheimerâs disease in Humans and also known to cause structural and functional problems in fishes, birds and animals. The present research work emphasizes to develop a green eco-friendly, clean and cost effective water treatment process to avoid the water pollution by non- judicious use of coagulant. Artificial Neural Network (ANN) technique is applied to the prediction of optimum coagulant dosing in Shyamala Water Treatment Plant, Bhopal. The alum sludge generated can be recycled and reused for waste water treatment.
关键词：Water treatment plant;coagulation;alum sludge;ANN model