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, Pages 1353-1361 PDF (122.27 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.21608/jesaun.2006.111027 | ||
| Author | ||
| M. Hashem* | ||
| 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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