AIMC Topic: Air Pollution
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High-spatial resolution ground-level ozone in Yunnan, China: A spatiotemporal estimation based on comparative analyses of machine learning models.
Environmental research
Mar 3, 2024
Monitoring ground-level ozone concentrations is a critical aspect of atmospheric environmental studies. Given the existing limitations of satellite data products, especially the lack of ground-level ozone characterization, and the discontinuity of gr...
An intelligent interval forecasting system based on fuzzy time series and error distribution characteristics for air quality index.
Environmental research
Mar 2, 2024
Due to the emergency environment pollution problems, it is imperative to understand the air quality and take effective measures for environmental governance. As a representative measure, the air quality index (AQI) is a single conceptual index value ...
Combining physical mechanisms and deep learning models for hourly surface ozone retrieval in China.
Journal of environmental management
Dec 26, 2023
As surface ozone (O) gains increasing attention, there is an urgent need for high temporal resolution and accurate O monitoring. By taking advantage of the progress in artificial intelligence, deep learning models have been applied to satellite based...
Prediction of the number of asthma patients using environmental factors based on deep learning algorithms.
Respiratory research
Dec 1, 2023
BACKGROUND: Air pollution, weather, pollen, and influenza are typical aggravating factors for asthma. Previous studies have identified risk factors using regression-based and ensemble models. However, studies that consider complex relationships and i...
Large-scale spatiotemporal deep learning predicting urban residential indoor PM concentration.
Environment international
Nov 22, 2023
Indoor PM pollution is one of the leading causes of death and disease worldwide. As monitoring indoor PM concentrations on a large scale is challenging, it is urgent to assess population-level exposure and related health risks to develop an easy-to-u...
Urban surface classification using semi-supervised domain adaptive deep learning models and its application in urban environment studies.
Environmental science and pollution research international
Nov 21, 2023
High-resolution urban surface information, e.g., the fraction of impervious/pervious surface, is pivotal in studies of local thermal/wind environments and air pollution. In this study, we introduced and validated a domain adaptive land cover classifi...
Applications of remote sensing vis-à-vis machine learning in air quality monitoring and modelling: a review.
Environmental monitoring and assessment
Nov 21, 2023
Environmental contamination especially air pollution is an exponentially growing menace requiring immediate attention, as it lingers on with the associated risks of health, economic and ecological crisis. The special focus of this study is on the adv...
Application of artificial intelligence in quantifying lung deposition dose of black carbon in people with exposure to ambient combustion particles.
Journal of exposure science & environmental epidemiology
Oct 17, 2023
BACKGROUND: Understanding lung deposition dose of black carbon is critical to fully reconcile epidemiological evidence of combustion particles induced health effects and inform the development of air quality metrics concerning black carbon. Macrophag...
Spatio-temporal fusion of meteorological factors for multi-site PM2.5 prediction: A deep learning and time-variant graph approach.
Environmental research
Oct 4, 2023
In the field of environmental science, traditional methods for predicting PM2.5 concentrations primarily focus on singular temporal or spatial dimensions. This approach presents certain limitations when it comes to deeply mining the joint influence o...
Investigation of spatiotemporal distribution and formation mechanisms of ozone pollution in eastern Chinese cities applying convolutional neural network.
Journal of environmental sciences (China)
Sep 11, 2023
Severe ground-level ozone (O) pollution over major Chinese cities has become one of the most challenging problems, which have deleterious effects on human health and the sustainability of society. This study explored the spatiotemporal distribution c...
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