AIMC Topic: Waste Disposal, Fluid
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Comparative study of different wavelet-based neural network models to predict sewage sludge quantity in wastewater treatment plant.
Environmental monitoring and assessment
Feb 16, 2019
In this study, artificial neural networks (ANNs) including feed forward back propagation neural network (FFBP-NN) and the radial basis function neural network (RBF-NN) were applied to predict daily sewage sludge quantity in wastewater treatment plant...
The key role of inoculated sludge in fast start-up of sequencing batch reactor for the domestication of aerobic granular sludge.
Journal of environmental sciences (China)
Sep 7, 2018
Two types of inoculated sludges, granular sludge that had been stored at -20°C and activated sludge, were investigated for the domestication of aerobic granular sludges (AGSs) in sequencing batch reactors (SBRs). The results showed that using the sto...
Machine learning for energy cost modelling in wastewater treatment plants.
Journal of environmental management
Jul 17, 2018
Understanding the energy cost structure of wastewater treatment plants is a relevant topic for plant managers due to the high energy costs and significant saving potentials. Currently, energy cost models are generally generated using logarithmic, exp...
Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques.
Environmental science and pollution research international
May 16, 2018
Computational self-adapting methods (Support Vector Machines, SVM) are compared with an analytical method in effluent composition prediction of a two-stage anaerobic digestion (AD) process. Experimental data for the AD of poultry manure were used. Th...
Feedforward neural network model estimating pollutant removal process within mesophilic upflow anaerobic sludge blanket bioreactor treating industrial starch processing wastewater.
Bioresource technology
Feb 20, 2018
In this a, three-layered feedforward-backpropagation artificial neural network (BPANN) model was developed and employed to evaluate COD removal an upflow anaerobic sludge blanket (UASB) reactor treating industrial starch processing wastewater. At the...
Analysing the accuracy of machine learning techniques to develop an integrated influent time series model: case study of a sewage treatment plant, Malaysia.
Environmental science and pollution research international
Feb 17, 2018
The function of a sewage treatment plant is to treat the sewage to acceptable standards before being discharged into the receiving waters. To design and operate such plants, it is necessary to measure and predict the influent flow rate. In this resea...
An Artificial Intelligence Platform for Asset Management Contributes to Better Decision-making Tools for Operations, Maintenance, and Utility Management.
Water environment research : a research publication of the Water Environment Federation
Jan 4, 2018
An Artificial Intelligence system was developed and implemented for water, wastewater, and reuse plants to improve management of sensors, short and long-term maintenance plans, asset and investment management plans. It is based on an integrated app...
Efficient heavy metal removal from industrial melting effluent using fixed-bed process based on porous hydrogel adsorbents.
Water research
Dec 27, 2017
High adsorption capacity, fast adsorption kinetics, good reusability and low cost are highly demanded for adsorbents used in practical adsorption process. In this study, a porous double network Jute/Polyacrylic acid (Jute/PAA) gel was prepared using ...
Removal of pharmaceutical compounds from urban wastewater by an advanced bio-oxidation process based on fungi Trametes versicolor immobilized in a continuous RBC system.
Environmental science and pollution research international
Dec 20, 2017
Conventional wastewater treatment plants (WWTPs) are not able to remove completely some emerging contaminants, such as residual pharmaceutical compounds (PCs) with potential ecotoxicity to water bodies. An advanced bio-oxidation process (ABOP) using ...
Silver@ graphene oxide nanocomposite: synthesize and application in removal of imidacloprid from contaminated waters.
Environmental science and pollution research international
Dec 20, 2017
Silver@graphene oxide nanocomposite was synthesized through an efficient approach, characterized by FTIR, EDX, and TEM instruments and then was used as adsorbent for imidacloprid removal from water in batch procedure. Effective variants such as conta...
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