AIMC Topic: Particulate Matter

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Air pollution macro-regions identification using machine learning and spatio-temporal analysis.

PloS one
Air pollution caused by suspended particulate matter (PM) remains one of the key environmental challenges in Poland, particularly in the context of public health and spatial planning. This study presents a spatio-temporal analysis based on data from ...

Ambient PM Exposure Modeling in LMICs: An Example from Peru.

Current environmental health reports
PURPOSE OF REVIEW: Fine particulate matter (PM) poses a public health risk, disproportionately impacting low- and middle-income countries (LMICs). In Peru, where ambient concentrations in urban areas significantly exceed the World Health Organization...

Merged methods of artificial neural networks and statistical techniques in forecasting air quality in the northern region of Peninsular Malaysia.

Environmental monitoring and assessment
Artificial neural networks (ANNs) are widely applied in air quality modelling because they can capture nonlinear interactions among pollutants and support reliable air pollutant index (API) forecasting. This study aims to identify the pollutants that...

The micro- and nanoplastics exposome feedback loop drives synergistic air-lung toxicity.

The Science of the total environment
Airborne micro- and nanoplastics (MNPs) are now recognized as persistent components of the atmospheric exposome. While their presence is established, their toxicological role remains incompletely understood. In this perspective, we propose the MNP Ex...

Multi-scale dynamic graph neural network for PM2.5 concentration prediction in regional station cluster.

PloS one
Accurate prediction of PM2.5 concentrations is crucial for public health and environmental management. However, effectively capturing complex spatiotemporal dependencies across multiple time scales remains a persistent challenge for existing methods,...

Regional Air Quality Management: A Data-Driven Airshed Approach in the Eastern IGP Regions.

Environmental science & technology
In India, ensuring clean air for all is vital and should not be limited to urbanites. However, the current air quality monitoring networks and management plans are limited to cities, air quality status across regions is yet to be measured, and compre...

Investigation of tuberculosis incidence and particulate matter concentration in the middle east.

Scientific reports
Air pollution is the fifth and sixth leading risk factor for global mortality and reduced life expectancy. Studies have established a link between atmospheric pollution and the incidence, hospitalization, and mortality rates of pulmonary tuberculosis...

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...

Uncovering the Influence of Land Cover and Climate Extremes on Wildfire Smoke PM in the United States Using Explainable Artificial Intelligence.

Environmental science & technology
Fine particulate matter (PM) from wildfire smoke has emerged as a significant environmental health threat in the United States (U.S.), yet the combined roles of climate extremes and land cover in shaping wildfire smoke PM exposure remain poorly under...