AIMC Topic: Wastewater

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Coupling growth kinetics modeling with machine learning reveals microbial immigration impacts and identifies key environmental parameters in a biological wastewater treatment process.

Microbiome Apr 17, 2019
BACKGROUND: Ubiquitous in natural and engineered ecosystems, microbial immigration is one of the mechanisms shaping community assemblage. However, quantifying immigration impact remains challenging especially at individual population level. The activ...
Microbial Consortia Wastewater Bacteria RNA, Ribosomal, 16S Bioreactors Kinetics Sewage Machine Learning
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Sequential treatment of paper and pulp industrial wastewater: Prediction of water quality parameters by Mamdani Fuzzy Logic model and phytotoxicity assessment.

Chemosphere Apr 5, 2019
Recycling of industrial wastewater meeting quality standards for agricultural and industrial demands is a viable option. In this study, paper and pulp industrial wastewater were treated with three biological treatments viz. aerobic, anaerobic and seq...
Water Purification Waste Disposal, Fluid Models, Theoretical Wastewater Recycling Biological Oxygen Demand Analysis Mustard Plant Fuzzy Logic Water Quality Industrial Waste
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Incorporating microbial community data with machine learning techniques to predict feed substrates in microbial fuel cells.

Biosensors & bioelectronics Mar 13, 2019
The complicated interactions that occur in mixed-species biotechnologies, including biosensors, hinder chemical detection specificity. This lack of specificity limits applications in which biosensors may be deployed, such as those where an unknown fe...
Biosensing Techniques Genomics Bacteria Machine Learning Wastewater Algorithms Carbohydrates Genome, Bacterial Acetates Microbiota
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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 Artificial Intelligence Wastewater Neural Networks, Computer
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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 Hydrogen-Ion Concentration Temperature Fermentation Biomass Agaricus 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 Wastewater Diarrhea Agricultural Irrigation Food Safety Risk Assessment United States Recycling 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 Wastewater Methane Kinetics Chlorophyta Biomass Bacteria Solvents 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 ...
Plastics Cosmetics Microspheres Urban Renewal Wastewater Algorithms Water Pollutants, Chemical Humans Neural Networks, Computer
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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...
Environmental Monitoring Fuzzy Logic Models, Chemical Sewage Linear Models Neural Networks, Computer Water Pollution, Chemical Wastewater Organic Chemicals
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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...
Machine Learning Wastewater Waste Disposal, Fluid Europe Costs and Cost Analysis
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