AIMC Journal:
Journal of environmental management

Showing 261 to 270 of 344 articles

A comparative study of data-driven models for runoff, sediment, and nitrate forecasting.

Journal of environmental management May 8, 2023
Effective prediction of qualitative and quantitative indicators for runoff is quite essential in water resources planning and management. However, although several data-driven and model-driven forecasting approaches have been employed in the literatu...
Neural Networks, Computer Nitrates Water Resources Algorithms Forecasting
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Machine learning models for estimating contamination across different curbside collection strategies.

Journal of environmental management Apr 26, 2023
Contaminated recyclables, which are frequently discarded as waste, pose a significant challenge to the implementation of a circular economy. These contaminated recyclables impede the circulation of resources, resulting in higher processing costs at m...
Linear Models Machine Learning Support Vector Machine Models, Statistical
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Operational parameter prediction of electrocoagulation system in a rural decentralized water treatment plant by interpretable machine learning model.

Journal of environmental management Feb 7, 2023
Electrocoagulation (EC) is a promising alternative for decentralized drinking water treatment in rural areas as a chemical-free technology. However, seasonal fluctuations of water quality in influent remain a significant challenge for rural decentral...
Water Purification Water Quality Electrocoagulation Neural Networks, Computer Machine Learning
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Large-scale prediction of stream water quality using an interpretable deep learning approach.

Journal of environmental management Jan 17, 2023
Deep learning methods, which have strong capabilities for mapping highly nonlinear relationships with acceptable calculation speed, have been increasingly applied for water quality prediction in recent studies. However, it is argued that the practica...
Rivers Deep Learning Phosphorus China Water Quality Environmental Monitoring Water Pollutants, Chemical Nitrogen
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Method and evaluations of the effective gain of artificial intelligence models for reducing CO2 emissions.

Journal of environmental management Jan 14, 2023
Nowadays, there is an increasing use of digital technologies and Artificial Intelligence (AI) such as Machine Learning (ML) models that leverage data to optimize the performances of systems in almost all activity sectors, including ML models for opti...
Carbon Footprint Bayes Theorem Carbon Dioxide Humans Neural Networks, Computer Artificial Intelligence
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Towards low-carbon development: The role of industrial robots in decarbonization in Chinese cities.

Journal of environmental management Jan 6, 2023
Technological advancements have played a key role in improving energy efficiency and reducing emissions, and industrial robots are important carriers of intelligent manufacturing and industrial upgrading. Although various countries and regions are un...
China Robotics Carbon Dioxide Cities Carbon Industry Economic Development
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Air pollution, water pollution, and robots: Is technology the panacea.

Journal of environmental management Dec 30, 2022
The degradation of the ecological environment caused by industrialization presents a major challenge for policymakers as they aim to develop sustainability. Is there a way to balance industrial growth and environmental sustainability? To answer this ...
Commerce Environmental Pollution Environment China Vehicle Emissions Water Pollution Robotics Air Pollution
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Research on the potential for China to achieve carbon neutrality: A hybrid prediction model integrated with elman neural network and sparrow search algorithm.

Journal of environmental management Dec 20, 2022
China's carbon reduction is of substantial significance in combating global climate change. In the context of the COVID-19 epidemic hit and economic and social development uncertainty, this study intends to discover whether China can attain the strat...
Climate Change Conservation of Natural Resources Economic Development Renewable Energy Carbon Carbon Dioxide Algorithms China Neural Networks, Computer Humans COVID-19
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Prediction and interpretation of antibiotic-resistance genes occurrence at recreational beaches using machine learning models.

Journal of environmental management Dec 7, 2022
Antibiotic-resistant bacteria and antibiotic resistance genes (ARGs) are pollutants of worldwide concern that seriously threaten public health and ecosystems. Machine learning (ML) prediction models have been applied to predict ARGs in beach waters. ...
Drug Resistance, Microbial Ecosystem Artificial Intelligence Bacteria Machine Learning
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An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation.

Journal of environmental management Nov 29, 2022
Evaporation is an important hydrological process in the water cycle, especially for water bodies. Machine Learning (ML) models have become accurate and powerful tools in predicting pan evaporation. Meanwhile, the "black-box" character and the consist...
Physical Phenomena Reproducibility of Results Neural Networks, Computer Climate Machine Learning
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