Hashem, M. (2006). EVALUATION OF RIVERBANK FILTRATION AS DRINKING WATER TREATMENT PROCESS USING BACK-PROPAGATION TECHNIQUE. JES. Journal of Engineering Sciences, 34(No 5), 1353-1361. doi: 10.21608/jesaun.2006.111027
M. Hashem. "EVALUATION OF RIVERBANK FILTRATION AS DRINKING WATER TREATMENT PROCESS USING BACK-PROPAGATION TECHNIQUE". JES. Journal of Engineering Sciences, 34, No 5, 2006, 1353-1361. doi: 10.21608/jesaun.2006.111027
Hashem, M. (2006). 'EVALUATION OF RIVERBANK FILTRATION AS DRINKING WATER TREATMENT PROCESS USING BACK-PROPAGATION TECHNIQUE', JES. Journal of Engineering Sciences, 34(No 5), pp. 1353-1361. doi: 10.21608/jesaun.2006.111027
Hashem, M. EVALUATION OF RIVERBANK FILTRATION AS DRINKING WATER TREATMENT PROCESS USING BACK-PROPAGATION TECHNIQUE. JES. Journal of Engineering Sciences, 2006; 34(No 5): 1353-1361. doi: 10.21608/jesaun.2006.111027
EVALUATION OF RIVERBANK FILTRATION AS DRINKING WATER TREATMENT PROCESS USING BACK-PROPAGATION TECHNIQUE
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.