مديريت و تحليل غيرخطي سيستم گندزدايي شبکه‌هاي توزيع آب با استفاده از روش‌هاي داده‌محور
Journal Title: آب و فاضلاب - Year 2018, Vol 29, Issue 1
Abstract
Management and Nonlinear Analysis of Disinfection System of Water Distribution Networks Using Data Driven Methods Chlorination unit is widely used to supply safe drinking water and removal of pathogens from water distribution networks. Data-driven approach is an appropriate method for analyzing performance of chlorine in water supply network. In this study, multi-layer perceptron neural network (MLP) with three training algorithms (gradient descent, conjugate gradient and BFGS) and support vector machine (SVM) with RBF kernel function were used to predict the concentration of residual chlorine in water supply networks of Ahmadabad Dafeh and Ahruiyeh villages in Kerman Province. Daily data including discharge (flow), chlorine consumption and residual chlorine were used from the beginning of 2012 to 2014 (for 3 years). To assess the performance of studied models, the criteria such as Nash-Sutcliffe efficiency (NS), root mean square error (RMSE), mean absolute percentage error (MAPE) and correlation coefficient (CORR) were used that in best modeling situation were 0.9484, 0.0255, 1.081, and 0.974 respectively which resulted from BFGS algorithm. The criteria indicated that MLP model with BFGS and conjugate gradient algorithms were better than all other models in 90 and 10 percent of cases respectively; while the MLP model based on gradient descent algorithm and the SVM model were better in none of the cases. According to the results of this study, proper management of chlorine concentration can be implemented by predicted values of residual chlorine in water supply network. Thus, decreased performance of perceptron network and support vector machine in water supply network of Ahruiyeh in comparison to Ahmadabad Dafeh can be inferred from improper management of chlorination. .
Authors and Affiliations
Mohammad Zounemat-Kermani, Abdolmajid Jamalizadeh, Abdollah Ramezani-Charmahineh
Keywords
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- DOI 10.22093/wwj.2017.43616.2069
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