دانلود مقاله ISI انگلیسی شماره 52531
عنوان فارسی مقاله

مدل سازی انعقاد با استفاده از شبکه های عصبی مصنوعی برای پیش بینی مه آلودگی و حذف جزء DOM-PARAFAC

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
52531 2015 10 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Coagulation modeling using artificial neural networks to predict both turbidity and DOM-PARAFAC component removal
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of Environmental Chemical Engineering, Volume 3, Issue 4, Part A, December 2015, Pages 2829–2838

کلمات کلیدی
شبکه های عصبی مصنوعی - فلوئورسانس - مدل سازی انعقاد - مه الودی
پیش نمایش مقاله
پیش نمایش مقاله مدل سازی انعقاد با استفاده از شبکه های عصبی مصنوعی برای پیش بینی مه آلودگی و حذف جزء DOM-PARAFAC

چکیده انگلیسی

In this study, four different neural network models were evaluated for predicting both turbidity and dissolved organic matter (DOM) removal during the coagulation process at the Akron Water Treatment Plant (Akron, Ohio, USA). DOM was monitored and characterized using fluorescence spectroscopy and parallel factor (PARAFAC) analysis, building upon previous research which identified three unique fluorescence components (C1, C2, and C3). Neural network models were built using operational data to predict each of the fluorescence components and turbidity after coagulation based on variable raw water quality and chemical doses. Correlation coefficients between measured and model predicted values for the final turbidity, C1, C2, and C3 models on an unseen test data set were 0.91, 0.95, 0.97, and 0.51, respectively. The predictive capability of the top performing model for each parameter was evaluated using parametric analysis, external validation criteria, and the absolute relative error distribution. Results suggest that the models for settled turbidity and the three settled component scores are valid and can be used to predict the removal of individual fractions of DOM (as measured by PARAFAC components) as a function of chemical dose and raw water quality, providing the water plant the ability to simultaneously manage two key water quality treatment objectives.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.