AIMC Journal:
Journal of environmental management

Showing 211 to 220 of 344 articles

Predictive modeling of plastic pyrolysis process for the evaluation of activation energy: Explainable artificial intelligence based comprehensive insights.

Journal of environmental management May 17, 2024
Pyrolysis, a thermochemical conversion approach of transforming plastic waste to energy has tremendous potential to manage the exponentially increasing plastic waste. However, understanding the process kinetics is fundamental to engineering a sustain...
Plastics Machine Learning Artificial Intelligence Models, Theoretical Pyrolysis
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Machine learning-based exploration of biochar for environmental management and remediation.

Journal of environmental management May 14, 2024
Biochar has a wide range of applications, including environmental management, such as preventing soil and water pollution, removing heavy metals from water sources, and reducing air pollution. However, there are several challenges associated with the...
Machine Learning Charcoal Adsorption Metals, Heavy Environmental Restoration and Remediation
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A hybrid deep learning approach to predict hourly riverine nitrate concentrations using routine monitored data.

Journal of environmental management May 10, 2024
With high-frequency data of nitrate (NO-N) concentrations in waters becoming increasingly important for understanding of watershed system behaviors and ecosystem managements, the accurate and economic acquisition of high-frequency NO-N concentration ...
New Hampshire Nitrates Rivers Water Pollutants, Chemical Deep Learning Environmental Monitoring Neural Networks, Computer
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Examining nonlinear effects of socioecological drivers on urban solar energy development in China using machine learning and high-dimensional data.

Journal of environmental management May 10, 2024
In the context of carbon neutrality target, renewable energy sources have been transforming from "supplementary energy" to "main energy", which have promoted the green and low-carbon transition of global energy supply system. In-depth analyzing the s...
Machine Learning Cities China Solar Energy
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Interpretable baseflow segmentation and prediction based on numerical experiments and deep learning.

Journal of environmental management May 10, 2024
Baseflow is a crucial water source in the inland river basins of high-cold mountainous region, playing a significant role in maintaining runoff stability. It is challenging to select the most suitable baseflow separation method in data-scarce high-co...
Rivers Neural Networks, Computer Models, Theoretical Climate Deep Learning
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Integrated machine learning reveals aquatic biological integrity patterns in semi-arid watersheds.

Journal of environmental management May 9, 2024
Semi-arid regions present unique challenges for maintaining aquatic biological integrity due to their complex evolutionary mechanisms. Uncovering the spatial patterns of aquatic biological integrity in these areas is a challenging research task, espe...
Rivers Environmental Monitoring Machine Learning Phytoplankton Algorithms
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A comprehensive analysis of key factors' impact on environmental performance: Evidence from Globe by novel super learner algorithm.

Journal of environmental management May 8, 2024
This study aims to analyze comprehensively the impact of different economic and demographic factors, which affect economic development, on environmental performance. In this context, the study considers the Environmental Performance Index as the resp...
Gross Domestic Product Economic Development Machine Learning Environment Algorithms
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Enhancing physically-based hydrological modeling with an ensemble of machine-learning reservoir operation modules under heavy human regulation using easily accessible data.

Journal of environmental management May 6, 2024
Dams and reservoirs have significantly altered river flow dynamics worldwide. Accurately representing reservoir operations in hydrological models is crucial yet challenging. Detailed reservoir operation data is often inaccessible, leading to relying ...
Humans Models, Theoretical Rivers China Machine Learning Hydrology Water Movements
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Predicting reservoir sedimentation using multilayer perceptron - Artificial neural network model with measured and forecasted hydrometeorological data in Gibe-III reservoir, Omo-Gibe River basin, Ethiopia.

Journal of environmental management May 6, 2024
The estimation and prediction of the amount of sediment accumulated in reservoirs are imperative for sustainable reservoir sedimentation planning and management and to minimize reservoir storage capacity loss. The main objective of this study was to ...
Hydrology Geologic Sediments Environmental Monitoring Models, Theoretical Rivers Neural Networks, Computer Ethiopia
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Innovative methods for microplastic characterization and detection: Deep learning supported by photoacoustic imaging and automated pre-processing data.

Journal of environmental management May 1, 2024
Plastic products' widespread applications and their non-biodegradable nature have resulted in the continuous accumulation of microplastic waste, emerging as a significant component of ecological environmental issues. In the field of microplastic dete...
Deep Learning Microplastics Photoacoustic Techniques Plastics Environmental Monitoring
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