Abstract
A trial network was constructed in the laboratory to simulate the water quality condition of real water distribution network. Three models were established based on experimental data and regression analysis method, which are total regression model, stepwise regression model and principal component regression model. The relationship between iron concentration and related water quality indexes was described quantitatively and the iron concentration was predicted by the reliable statistical models. The result shows as for prediction accuracies of these models, the principal component regression model is a little better than total regression model, and is much better than stepwise regression model. The accuracies of three models are 72.03%, 65.02% and 72.92% respectively.
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© 2012 Springer-Verlag Berlin Heidelberg
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Jia, W., Yi-mei, T., Yang, L. (2012). Prediction Model of Iron Release When the Desalinated Water into Water Distribution System. In: Zeng, D. (eds) Advances in Control and Communication. Lecture Notes in Electrical Engineering, vol 137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-26007-0_39
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DOI: https://doi.org/10.1007/978-3-642-26007-0_39
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