AIMC Topic: Sewage

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Deep learning model based on urban multi-source data for predicting heavy metals (Cu, Zn, Ni, Cr) in industrial sewer networks.

Journal of hazardous materials Mar 17, 2022
The high concentrations of heavy metals in municipal industrial sewer networks will seriously impact the microorganisms of the activated sludge in the wastewater treatment plant (WWTP), thus deteriorating the effluent quality and destroying the stabi...
Deep Learning China Water Purification Sewage Metals, Heavy Zinc Environmental Monitoring
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Online learning-empowered smart management for AO process in sewage treatment processes.

Environmental research Feb 24, 2022
Using artificial intelligence method to describe general working process is a more meaningful and widely used idea in various practical projects. At the same time, it is also an important way to realize intelligent management. Water pollution is seri...
Education, Distance Artificial Intelligence Machine Learning Intelligence Sewage
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Integrating mechanistic and deep learning models for accurately predicting the enrichment of polyhydroxyalkanoates accumulating bacteria in mixed microbial cultures.

Bioresource technology Nov 3, 2021
The enrichment of polyhydroxyalkanoates (PHA) accumulating bacteria (PAB) in mixed microbial cultures (MMC) is extremely difficult to be predicted and optimized. Here we demonstrate that mechanistic and deep learning models can be integrated innovati...
Deep Learning Sewage Polyhydroxyalkanoates Bacteria Bioreactors
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Data-driven method based on deep learning algorithm for detecting fat, oil, and grease (FOG) of sewer networks in urban commercial areas.

Water research Oct 25, 2021
The content of fat, oil and grease (FOG) in the sewer network sediments is the key indicator for diagnosing sewer blockage and overflow. However, the traditional FOG detection is time-consuming and costly, and the establishment of mathematical models...
Temperature Deep Learning Fats Sewage Hydrocarbons
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Investigating the impact of sewer overflow on the environment: A comprehensive literature review paper.

Journal of environmental management Oct 16, 2021
Sewer networks play a pivotal role in our everyday lives by transporting the stormwater and urban sewage away from the urban areas. In this regard, Sewer Overflow (SO) has been considered as a detrimental threat to our environment and health, which r...
Groundwater Sewage Humans Artificial Intelligence Wastewater
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Prediction of biogas production in anaerobic co-digestion of organic wastes using deep learning models.

Water research Sep 24, 2021
Interest in anaerobic co-digestion (AcoD) has increased significantly in recent decades owing to enhanced biogas productivity due to the utilization of different organic wastes, such as food waste and sewage sludge. In this study, a robust AcoD model...
Deep Learning Anaerobiosis Biofuels Food Refuse Disposal Sewage Methane Digestion Bioreactors
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Evaluation of green lean production in textile industry: a hybrid fuzzy decision-making framework.

Environmental science and pollution research international Sep 18, 2021
Textile industry is an old and effective industry in Iran. However, due to its age and high energy consumption, this industry has low profitability and entrepreneurship. One of the most important problems of the weaving industry is the issue of waste...
Textile Industry Sewage Industry Iran Fuzzy Logic
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Combined effects of volume ratio and nitrate recycling ratio on nutrient removal, sludge characteristic and microbial evolution for DPR optimization.

Journal of environmental sciences (China) Dec 17, 2020
The optimization of volume ratio (V/V/V) and nitrate recycling ratio (R) in a two-sludge denitrifying phosphorus removal (DPR) process of Anaerobic Anoxic Oxic-Moving Bed Biofilm Reactor (A/O-MBBR) was investigated. The results showed that prolonged ...
Sewage Nitrogen Waste Disposal, Fluid Nutrients Biofilms In Situ Hybridization, Fluorescence Phosphorus Bioreactors Nitrates Denitrification
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Sustainability prioritization of sewage sludge to energy scenarios with hybrid-data consideration: a fuzzy decision-making framework based on full consistency method and fusion ranking model.

Environmental science and pollution research international Sep 24, 2020
This work proposed a novel mathematical framework for the sustainability assessment of sewage sludge to energy (SStE) scenarios, by resorting to fuzzy multi-criteria decision-making (MCMD) methods. In which, an evaluation system including twelve crit...
Sewage Uncertainty Fuzzy Logic Decision Making
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Optimal Selection of Sewage Treatment Technologies in Town Areas: A Coupled Multi-Criteria Decision-Making Model.

Environmental management Jul 28, 2020
In recent years, the development of sewage treatment technologies has made many treatment options available in towns. Selecting the most appropriate alternative (MAA) can make the best use of existing resources to achieve the optimal effect, which ha...
Animals Fuzzy Logic Rivers China Sewage Cities
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