AIMC Topic: Biological Oxygen Demand Analysis
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Generative deep learning model assisted multi-objective optimization for wastewater nitrogen to protein conversion by photosynthetic bacteria.
Bioresource technology
Sep 1, 2025
For decades, the photosynthetic bacteria (PSB)-based nitrogen treatment and valorization from wastewater have been explored. However, balancing nitrogen removal performance and resource recovery potential in PSB has remained a key unresolved issue fo...
Modelling the biological treatment process aeration efficiency: application of the artificial neural network algorithm.
Water science and technology : a journal of the International Association on Water Pollution Research
Dec 1, 2022
The biological treatment process (BTP) is responsible for removing chemical oxygen demand (COD) and ammonia using microorganisms present in wastewater. The BTP consumes large quantities of energy due to the transfer of oxygen using air pumps/blowers....
Application of neural network approach for modelling COD reduction from real refinery effluent by electrocoagulation.
Water science and technology : a journal of the International Association on Water Pollution Research
Nov 1, 2022
The present study aims to investigate the feasibility of implementing the electrocoagulation (EC) process to treat Algiers refinery effluent. The electrocoagulation was performed by using scrap aluminum plate electrodes in monopolar-parallel mode. Se...
Prediction of effluent quality in ICEAS-sequential batch reactor using feedforward artificial neural network.
Water science and technology : a journal of the International Association on Water Pollution Research
Jul 1, 2019
It is highly essential that municipal wastewater is treated before its discharge and reuse in order to meet the standard requirements for safe marine life and for farming and industries. It is beneficial to use reclaimed water, since availability of ...
Chemical coagulation of greywater: modelling using artificial neural networks.
Water science and technology : a journal of the International Association on Water Pollution Research
Jul 1, 2018
In the present study, chemical coagulation with alum and polyaluminium chloride (PACl) was utilized for greywater treatment. More than 140 jar tests on greywater with varying characteristics were conducted in order to determine the optimum coagulant ...
Research on a soft measurement model of sewage treatment based on a case-based reasoning approach.
Water science and technology : a journal of the International Association on Water Pollution Research
Dec 1, 2017
In this paper, the measurement of biochemical oxygen demand (BOD) in a wastewater treatment process is analyzed and an intelligent integrated prediction method based on case-based reasoning (CBR) is proposed in order to overcome difficulties. Due to ...
Phytoremediation of palm oil mill secondary effluent (POMSE) by Chrysopogon zizanioides (L.) using artificial neural networks.
International journal of phytoremediation
May 4, 2017
Artificial neural networks (ANNs) have been widely used to solve the problems because of their reliable, robust, and salient characteristics in capturing the nonlinear relationships between variables in complex systems. In this study, ANN was applied...
Artificial intelligence based model for optimization of COD removal efficiency of an up-flow anaerobic sludge blanket reactor in the saline wastewater treatment.
Water science and technology : a journal of the International Association on Water Pollution Research
Mar 1, 2017
The complex non-linear behavior presented in the biological treatment of wastewater requires an accurate model to predict the system performance. This study evaluates the effectiveness of an artificial intelligence (AI) model, based on the combinatio...
[Rapid Start-up of Simultaneous Nitrification and Denitrification Coupled Phosphorus Removal Process and Its Performing Characteristics].
Huan jing ke xue= Huanjing kexue
Nov 1, 2015
In this study, simultaneous nitrification and denitrification (SND) coupled Phosphorus removal process through gradually decreasing DO concentration was investigated by treating wastewater with a low COD/TN ratio (C/N = 3 : 1-4: 1) in a sequencing ba...
[Process Optimization of Aerobic Granular Sludge Continuous-Flow System for the Treatment of Low COD/N Ratio Sewage].
Huan jing ke xue= Huanjing kexue
Oct 1, 2015
The mature aerobic granular sludge (AGS) was inoculated in a continuous-flow joint constructor reactor to treat low chemical oxygen demand/nitrogen (COD/N) ratio sewage. The effects of aeration intensity and hydraulic retention time (HRT) on the deni...
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