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Application of artificial neural networks for modeling of The Lighvan river by using Water Quality Index
Authors:
[ Salari ] - Department of Applied Chemistry, University of Tabriz, Iran [ Niaei ] - [ Aghazadeh ] - [ Nabavi ] -
Abstract:
Many factors can affect water quality. The WQI is one of the most widely used of all existing water quality procedures. The information in calculating the WQI of lighvan river allowed us to take our tests results and make a scientific conclusion about the quality of the water. The WQI of lighvan river consists of five tests: Fecal Coliform(F.C.), Biochemical Oxygen Demand(BOD5), Nitrates(NO3), Total Phosphate(PO4) and pH. After completing the five tests, the results are recorded and transferred to a weighting curve chart where a numerical value is obtained. For each test, the numerical value or Q-value is multiplied by a weighting factor. The proposed model based on artificial neural network (ANN) could predict the WQI of river lighvan. A comparison between the predicted results of the designed ANN model and experimental data was also conducted.
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Application of artificial neural networks for modeling of The Lighvan river by using Water Quality Index 
Abstract: