AIMC Topic: Air Pollution

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Accurate and efficient prediction of atmospheric PM, PM, PM, and O concentrations using a customized software package based on a machine-learning algorithm.

Chemosphere Nov 16, 2024
Particulate matter (PM) and ozone (O) pollution have been attracting increasing attention recently due to their severe harm to human health. PM and O are secondary pollutants, and there remain significant challenges in accurately and efficiently pred...
Air Pollutants Air Pollution Ozone Environmental Monitoring Machine Learning Principal Component Analysis Algorithms China Software Particulate Matter Nitrogen Oxides Atmosphere
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Improving the construction and prediction strategy of the Air Quality Health Index (AQHI) using machine learning: A case study in Guangzhou, China.

Ecotoxicology and environmental safety Nov 9, 2024
Effectively capturing the risk of air pollution and informing residents is vital to public health. The widely used Air Quality Index (AQI) has been criticized for failing to accurately represent the non-threshold linear relationship between air pollu...
Humans Machine Learning Environmental Monitoring Air Pollutants China Air Pollution Particulate Matter
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Statistical inference and neural network training based on stochastic difference model for air pollution and associated disease transmission.

Journal of theoretical biology Nov 8, 2024
A polluted air environment can potentially provoke infections of diverse respiratory diseases. The development of mathematical models can study the mechanism of air pollution and its effect on the spread of diseases. The key is to characterize the in...
Humans Bayes Theorem Neural Networks, Computer Air Pollution Algorithms Stochastic Processes Air Pollutants
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Nordic environmental resilience: balancing air quality and energy efficiency by applying artificial neural network.

Frontiers in public health Nov 5, 2024
Maintaining public health and environmental safety in the Nordic nations calls for a strict plan to define exact benchmarks on air quality and energy efficiency. This study investigates the complicated interaction of decentralized energy production (...
Scandinavian and Nordic Countries Air Pollution Humans Particulate Matter Neural Networks, Computer Conservation of Energy Resources
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Significant spatiotemporal changes in atmospheric particulate mercury pollution in China: Insights from meta-analysis and machine-learning.

The Science of the total environment Oct 30, 2024
PM bound mercury (PBM) in the atmosphere is a major component of total mercury, which is a pollutant of global concern and a potent neurotoxicant when converted to methylmercury. Despite its importance, comprehensive macroanalyses of PBM on large sca...
Air Pollutants Air Pollution Mercury Atmosphere Particulate Matter Spatio-Temporal Analysis China Environmental Monitoring Machine Learning Risk Assessment
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Air quality index prediction with optimisation enabled deep learning model in IoT application.

Environmental technology Oct 28, 2024
The development of industrial and urban places caused air pollution, which has resulted in a variety of effects on individuals and the atmosphere over the years. The measurement of the air quality index (AQI) depends on various environmental situatio...
Neural Networks, Computer Algorithms Air Pollutants Air Pollution Internet of Things Deep Learning Environmental Monitoring
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Machine learning for air quality index (AQI) forecasting: shallow learning or deep learning?

Environmental science and pollution research international Oct 28, 2024
In this study, several machine learning (ML) models consisting of shallow learning (SL) models (e.g., random forest (RF), K-nearest neighbor (KNN), weighted K-nearest neighbor (WKNN), support vector machine (SVM), artificial neural network (ANN), and...
Deep Learning Environmental Monitoring Air Pollution Particulate Matter Air Pollutants Neural Networks, Computer Machine Learning Forecasting
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Imaging pollen using a Raspberry Pi and LED with deep learning.

The Science of the total environment Oct 19, 2024
The production of low-cost, small footprint imaging sensor would be invaluable for airborne global monitoring of pollen, which could allow for mitigation of hay fever symptoms. We demonstrate the use of a white light LED (light emitting diode) to ill...
Air Pollutants Air Pollution Pollen Deep Learning Environmental Monitoring
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3DVar sectoral emission inversion based on source apportionment and machine learning.

Environmental pollution (Barking, Essex : 1987) Oct 18, 2024
Air quality models are increasingly important in air pollution forecasting and control. Sectoral emissions significantly impact the accuracy of air quality models and source apportionment. This paper studied the 3DVar (three-dimensional variational) ...
Environmental Monitoring Air Pollutants Air Pollution Machine Learning China Volatile Organic Compounds Nitrogen Oxides Ozone Particulate Matter
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Predicting plateau atmospheric ozone concentrations by a machine learning approach: A case study of a typical city on the southwestern plateau of China.

Environmental pollution (Barking, Essex : 1987) Oct 4, 2024
Atmospheric ozone (O) has been placed on the priority control pollutant list in China's 14th Five-Year Plan. Due to their unique meteorological conditions, plateau regions contain high concentrations of atmospheric O. However, traditional experimenta...
Atmosphere Ozone Volatile Organic Compounds China Machine Learning Cities Environmental Monitoring Air Pollutants Air Pollution
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