Prediction of Ryznar Stability Index for Treated Water of WTPs Located on Al-Karakh Side of Baghdad City using Artificial Neural Network (ANN) Technique
Journal of Engineering
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| Title |
Prediction of Ryznar Stability Index for Treated Water of WTPs Located on Al-Karakh Side of Baghdad City using Artificial Neural Network (ANN) Technique
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| Creator |
Alsaqqar, Awatif Soaded
Khudair, Basim Hussein Ali, Sura Kareem |
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| Description |
In this research an Artificial Neural Network (ANN) technique was applied for the prediction of Ryznar Index (RI) of the flowing water from WTPs in Al-Karakh side (left side) in Baghdad city for year 2013. Three models (ANN1, ANN2 and ANN3) have been developed and tested using data from Baghdad Mayoralty (Amanat Baghdad) including drinking water quality for the period 2004 to 2013. The results indicate that it is quite possible to use an artificial neural networks in predicting the stability index (RI) with a good degree of accuracy. Where ANN 2 model could be used to predict RI for the effluents from Al-Karakh, Al-Qadisiya and Al-Karama WTPs as the highest correlation coefficient were obtained 92.4, 82.9 and 79.1% respectively. For Al-Dora WTP, ANN 3 model could be used as R was 92.8%. |
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| Publisher |
College of Engineering | University of Baghdad
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| Date |
2016-05-01
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
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| Format |
application/pdf
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| Identifier |
http://joe.uobaghdad.edu.iq/index.php/main/article/view/214
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| Source |
مجلة الهندسة; مجلد 22 عدد 5 (2016): Journal of Engineering (Eng. J.); 1-10
Journal of Engineering; Vol 22 No 5 (2016): Journal of Engineering (Eng. J.); 1-10 2520-3339 1726-4073 |
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| Language |
eng
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| Relation |
http://joe.uobaghdad.edu.iq/index.php/main/article/view/214/187
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| Rights |
Copyright (c) 2016 Eng. J.
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