AIMC Topic: Environmental Monitoring

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A novel deep learning-based floating garbage detection approach and its effectiveness evaluation in environmentally sustainable development.

Journal of environmental management Apr 5, 2025
Floating garbage removal is an essential environmental strategy to reduce water pollution and achieve environmental sustainability, and it is a pressing issue for global ecological restoration. Under the interference of complex environments, floating...
Conservation of Natural Resources Deep Learning Water Pollution Environmental Monitoring Sustainable Development
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Joint identification of hydraulic conductivity and groundwater pollution sources using unscented Kalman smoother with multiple data assimilation and deep learning.

Ecotoxicology and environmental safety Apr 5, 2025
Identification of groundwater pollution sources (IGPSs) is a prerequisite for pollution remediation and pollution risk prediction. Data assimilation approaches have been used extensively in IGPSs field in recent years. A data assimilation approach-un...
Water Pollutants, Chemical Groundwater Neural Networks, Computer Water Pollution Deep Learning Environmental Monitoring
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Prioritization strategies for non-target screening in environmental samples by chromatography - High-resolution mass spectrometry: A tutorial.

Journal of chromatography. A Apr 4, 2025
Non-target screening (NTS) using chromatography coupled to high-resolution mass spectrometry (HRMS), has become fundamental for detecting and prioritizing chemicals of emerging concern (CECs) in complex environmental matrices. The vast number of gene...
Mass Spectrometry Chromatography, Liquid Environmental Pollutants Environmental Monitoring
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Predicting and investigating water quality index by robust machine learning methods.

Journal of environmental management Apr 3, 2025
This study addresses the critical challenges of waste management and water quality in urban environments, where accelerated urbanization has exacerbated environmental degradation and public health risks. Employing advanced machine learning algorithms...
Decision Trees Water Quality Machine Learning Waste Management Environmental Monitoring Algorithms Support Vector Machine
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U-shaped deep learning networks for algal bloom detection using Sentinel-2 imagery: Exploring model performance and transferability.

Journal of environmental management Apr 3, 2025
Inland water sources, such as lakes, support diverse ecosystems and provide essential services to human societies. However, these valuable resources are under increasing pressure from rapid climate changes and pollution resulting from human activitie...
Climate Change Satellite Imagery Deep Learning Environmental Monitoring Eutrophication Lakes Algorithms Ecosystem
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Statistical analysis and prediction via neural networks of water quality in the Middle Paraíba do Sul (Rio de Janeiro State, Brazil) region in the period (2012-2022).

Environmental science and pollution research international Apr 3, 2025
The aim of this study is to accurately predict the water quality at these points over a decade through the combined use of statistical tools and artificial intelligence. This study brings the innovative use of neural networks implemented with the GRN...
Neural Networks, Computer Water Quality Rivers Brazil Environmental Monitoring
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Spatiotemporal evolution and risk thresholds of PM components in China from the human health perspective.

Environmental pollution (Barking, Essex : 1987) Apr 2, 2025
PM is a significant global public health hazard, with its components closely linked to various fatal diseases, thereby significantly increasing mortality rates. This study analysed the spatiotemporal evolution of PM-related mortality and death rates ...
Environmental Exposure Nitrates Air Pollution Particulate Matter Spatio-Temporal Analysis Mortality Humans Air Pollutants China Bayes Theorem Risk Assessment Environmental Monitoring
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Feasibility study of real-time virtual sensing for water quality parameters in river systems using synthetic data and deep learning models.

Journal of environmental management Apr 2, 2025
With water quality management crucial for environmental sustainability, multiple techniques for real-time monitoring and estimation of water quality parameters have been developed. However, certain data types, such as airborne images, are only access...
Nitrogen Phosphorus Water Quality Rivers Carbon Feasibility Studies Environmental Monitoring Water Pollutants, Chemical Deep Learning
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Machine Learning-Enhanced Prediction for Soil-to-Air VOC Emission and Environmental Impact Pertaining Contaminated Fractured Aquifers.

Environmental science & technology Apr 1, 2025
How to scientifically and efficiently quantify the impact and hazards of volatile organic compounds (VOCs) pollution and volatilization from complex groundwater systems on surface air environments is a critical environmental issue. This paper employe...
Machine Learning Soil Groundwater Environmental Monitoring Volatile Organic Compounds
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Water quality parameters-based prediction of dissolved oxygen in estuaries using advanced explainable ensemble machine learning.

Journal of environmental management Apr 1, 2025
The dissolved oxygen (DO) is crucial for the ecological health of estuaries and bays. However, human activities, land-sea interactions, and the unclear impact mechanisms of water quality parameters (WQPs) pose challenges to DO prediction. Water quali...
Nitrogen Water Quality Environmental Monitoring Oxygen Rivers Estuaries Machine Learning China
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