Simulation of an Industrial Wastewater Treatment Plant by Up-flow Anaerobic Fixed Bed Bioreactor Based on an Artificial Neural Network
محل انتشار: مهندسی بهداشت محیط، دوره: 9، شماره: 1
سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 79
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شناسه ملی سند علمی:
JR_AJEHE-9-1_001
تاریخ نمایه سازی: 28 تیر 1402
چکیده مقاله:
Given the variable nature of industrial wastewaters, the appropriate operation of an industrial
wastewater treatment plant (WWTP) is a prerequisite for keeping process stability at ideal conditions.
In this respect, an artificial neural network (ANN) can be a powerful device for the prediction of
treatment performance. This study assessed some qualitative parameters of industrial wastewater
(Amol Industrial Estate) during a one-year operating period. The wastewater treatment process
consisted of an equalization tank, up-flow anaerobic fixed bed (UAFB) bioreactor, activated
sludge tank, sedimentation tank, and chlorination basin. The ANN was utilized to estimate the
system efficiency of the UAFB process. The outcomes demonstrated an extraordinary arrangement
between the real and simulated data (R۲ > ۰.۸). This model supplied a proper device for forecasting
the implementation of WWTPs. Continuous checking elements could be used for the simulation of
wastewater specifications.
کلیدواژه ها:
نویسندگان
Kobra Verijkazemi
Department of Civil Engineering, Tonekabon Branch, Islamic Azad University, Tonekabon, Iran
Reza Jalizadeh Yengejeh
Department of Environmental Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran