AIMC Topic: Air Pollution

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Forecasting urban air quality in Paris using ensemble machine learning: A scalable framework for environmental management.

PloS one
Urban air pollution poses a significant threat to public health and urban sustainability in megacities like Paris. We cast forecasting as a short-term, next-hour prediction task for PM2.5, NO, and CO, using hourly meteorology and recent pollutant his...

Machine learning prediction of STEMI incidence with SHAP interpretation of environmental determinants.

Scientific reports
ST-segment elevation myocardial infarction (STEMI) is a life-threatening cardiovascular event influenced by meteorological conditions and air pollution. Traditional statistical methods often fail to capture the complex, nonlinear relationships betwee...

China Played a Greater Role in Reducing the Deposition of Japan and Korea Than Themselves.

Environmental science & technology
China has been identified as a major contributor to transboundary air pollution in East Asia with a great impact on downwind countries (e.g., Japan and the Republic of Korea) through transboundary transport of air pollutants. While aggressive polluti...

Evaluating machine learning models and imputation strategies for Air Quality Index forecasting in urban India.

Environmental monitoring and assessment
Accurate Air Quality Index (AQI) prediction is essential for timely health risk management in urban environments, yet challenges such as missing data and complex pollutant interactions limit the performance of traditional approaches. This study inves...

DF-OSELM: a dynamic feedback feature learning model for air quality online prediction.

Environmental monitoring and assessment
Accurate and timely air quality forecasting is crucial for mitigating pollution risks and protecting public health. However, existing offline and online models face limitations in adaptability, computational efficiency, and interpretability. To addre...

Long-term exposure to ambient air pollution and cardiometabolic multimorbidity in Chinese adults over 45 years.

Scientific reports
The rising prevalence of cardiometabolic multimorbidity (CMM), characterized by the coexistence of two or more cardiometabolic disorders, poses a significant public health challenge in aging populations. While ambient air pollution is a recognized en...

Ischemic heart disease mortality due to fine particulate matter in Seoul between 2016 and 2020.

BMC public health
BACKGROUND: Ischemic heart disease (IHD) continues to rank among the leading global causes of mortality, consistently linked to long-term exposure to fine particulate matter (PM). Despite a declining trend in the annual average PM concentration in Se...

Machine learning framework for forecasting air pollution: Evaluating seasonal and climatic influences in Istanbul, Turkey.

PloS one
Air pollution, driven by seasonal and meteorological variations, poses a significant threat to public health and urban sustainability. Despite numerous forecasting approaches, the influence of seasonal patterns on air pollutant levels remains underex...

Unveiling the HONO Offsetting Effect: Rethinking NO Emission Controls during Urban Ozone Pollution Episodes.

Environmental science & technology
Conventional ozone (O) control typically targets nitrogen oxides (NO) and volatile organic compounds (VOCs), yet the role of nitrous acid (HONO) is often overlooked. Here, machine learning (ML)-derived HONO-NO reduction relationships in the real atmo...