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Plenary Lecture

The Use of Artificial Neural Networks to Predict the Parametrers of Drinking Water in the Distribution System of Hyderabad City (Pakistan)



Assistant Professor Niaz Ahmed Memon
Department of Civil Engineering
Quaid-e-Awam University of Engineering Science & Technology
Nawabshah, Sindh
PAKISTAN
Email: niaz59@hotmail.com


Abstract:
The eminence of drinking water of Hyderabad city of Pakistan has remained convoluted. Out of 90 samples taken; the mean values of free chlorine ranges from 0.00 - 0.1340, total chlorine 0.00 to 1.34 mg/l; and pH 6.9 to 7.74. EC & TDS varies from 864-927ÁS/cm, 83-411 mg/l. Turbidity 27.8 to 30 NTU. The ranges of iron, sulfates, Ca, Mg, and total alkalinity are 0.02 to 1.3, 48-77, 0.04-0.52, 0.16-3.86 and 1.09-16.49 mg/l respectively. All samples are positive microbiologically. Gradient Descent Back-propagation algorithm has been trained and tested for validation of the model to predict pH and Chlorine. The Mean Square Error (MSE) for pH & Chlorine is 0.008380, 0.05310. Input and output weights are generated. The performance of the presented model is very fast. Elapsed training time is only 4.875000 seconds. The results indicated that the trained model has patronizing predictive feat for predicting both Chlorine and pH of Hyderabad city. Overall objective is to develop public awareness about the contamination of drinking water and the use of Artificial Intelligence predictive modeling in order to monitor its quality. In my speech, I will demonstrate the application and importance of Artificial Neural Networks being used for monitoring the quality of drinking water in the distribution system.


Brief Biography of the Speaker:
Prof. Niaz A. Memon is an Assistant Professor in the department of civil/Enviroenmental Engineering at Quaid-e-Awam University of Engineering Science & Technology, Nawabshah, PAKISTAN. He joined there in 1987. He graduated in Civil Engineering and then Masters and PhD in Environmnetal Engineering & management. His expertise is the application of Artificial Neural Networks and Drinking water quality monitoring. Niaz has many international publications on his credit in this area, as author or co-author. He has reviewed many of the manuscripts. Last year in 12th CSCC conference on Computers, in Crete, Greece, his paper was decalred as one of the best papers of the conference and the extended version was published in the "WSEAS TRANSACTIONS ON ENVIROENMENT AND DEVELOPMENT" volume 4, issue 8 , August 2008. He developed many ANN models for predicting the critical parameters of the drinking water, keeping in view that the safe drinking water is HEALTH and the sanitaion is the "DIGINITY".


 

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