AIMC Topic: Wastewater

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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...
Waste Disposal, Fluid Environmental Monitoring Sewage Neural Networks, Computer Artificial Intelligence Wastewater
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Optimization of Cultural Conditions for Cultured in Industrial Wastewater.

BioMed research international Dec 26, 2018
The aim of this study was to optimize the cultural conditions for using industrial wastewater as nature culture through response surface methodology. In our present study, we analyzed the total number of living in the fermentation broth using mult...
Bacillus megaterium Industry Wastewater Temperature Hydrogen-Ion Concentration Fermentation Agaricus Biomass Culture Media
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Review of water quality criteria for water reuse and risk-based implications for irrigated produce under the FDA Food Safety Modernization Act, produce safety rule.

Environmental research Dec 21, 2018
Questions related to the safety of alternative water sources, such as recycled water or reclaimed water (including grey water, produced water, return flows, and recycled wastewater), for produce production have been largely un-explored at the detail ...
Lactuca Diarrhea Agricultural Irrigation Food Safety Wastewater United States Recycling Risk Assessment Water Quality
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Production of lipid-containing algal-bacterial polyculture in wastewater and biomethanation of lipid extracted residues: Enhancing methane yield through hydrothermal pretreatment and relieving solvent toxicity through co-digestion.

The Science of the total environment Nov 6, 2018
The feasibility of generating a lipid-containing algal-bacterial polyculture biomass in municipal primary wastewater and enhancing biomethanation of lipid-extracted algal residues (LEA) through hydrothermal pretreatment and co-digestion with sewage s...
Lipids Methane Wastewater Kinetics Biomass Solvents Chlorophyta Bacteria Sewage Coculture Techniques
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Use of a convolutional neural network for the classification of microbeads in urban wastewater.

Chemosphere Oct 18, 2018
Scientists are on the lookout for a practical model that can serve as a standard for sorting out, identifying, and characterizing microplastics which are common occurrences in water sources and wastewaters. The microbeads (MBs) used in cosmetics and ...
Cosmetics Microspheres Urban Renewal Water Pollutants, Chemical Plastics Humans Neural Networks, Computer Wastewater Algorithms
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Modeling of an activated sludge process for effluent prediction-a comparative study using ANFIS and GLM regression.

Environmental monitoring and assessment Aug 1, 2018
In this paper, nonlinear system identification of the activated sludge process in an industrial wastewater treatment plant was completed using adaptive neuro-fuzzy inference system (ANFIS) and generalized linear model (GLM) regression. Predictive mod...
Neural Networks, Computer Wastewater Organic Chemicals Water Pollution, Chemical Models, Chemical Environmental Monitoring Sewage Fuzzy Logic Linear Models
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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...
Costs and Cost Analysis Waste Disposal, Fluid Europe Machine Learning Wastewater
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Statistical monitoring of a wastewater treatment plant: A case study.

Journal of environmental management Jul 5, 2018
The efficient operation of wastewater treatment plants (WWTPs) is key to ensuring a sustainable and friendly green environment. Monitoring wastewater processes is helpful not only for evaluating the process operating conditions but also for inspectin...
Wastewater Algorithms Models, Theoretical Support Vector Machine Waste Management
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Use of artificial neuronal networks for prediction of the control parameters in the process of anaerobic digestion with thermal pretreatment.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering Apr 19, 2018
This article focuses on the analysis of the behavior patterns of the variables involved in the anaerobic digestion process. The objective is to predict the impact factor and the behavior pattern of the variables, i.e., temperature, pH, volatile solid...
Industrial Waste Biofuels Food-Processing Industry Methane Hydrolysis Sewage Poultry Anaerobiosis Wastewater Water Purification Neural Networks, Computer Forecasting Computer Simulation Temperature Animals
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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...
Neural Networks, Computer Wastewater Waste Disposal, Fluid Starch Anaerobiosis Sewage Bioreactors
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