EVALUATION OF RIVERBANK FILTRATION AS DRINKING WATER TREATMENT PROCESS USING BACK-PROPAGATION TECHNIQUE | ||||
| JES. Journal of Engineering Sciences | ||||
| Article 2, Volume 34, No 5, September and October 2006, Page 1353-1361 PDF (122.27 K) | ||||
| Document Type: Research Paper | ||||
| DOI: 10.21608/jesaun.2006.111027 | ||||
 View on SCiNiTO | ||||
| Author | ||||
M. Hashem 
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| Civil Engineering Department, Faculty of Engineering, Assiut University, Assiut, Egypt | ||||
| Abstract | ||||
| Riverbank filtration (RBF) is a natural process, using alluvial aquifers to remove contaminants and pathogens in river water for the production of drinking water as a low-cost water treatment technology. This study illustrates the development and application of feed-forward backpropagation network (BPN) as a type of artificial neural networks. The BPN prediction results produced good agreement with measured data at a correlation coefficient above 0.98 for filtrate water quality parameters, including temperature as well as turbidity, heterotrophic bacteria, and coliform removal. | ||||
| Keywords | ||||
| Riverbank; filtration; drinking water and backpropagation | ||||
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