Academic Articles & Research Papers

Caregivers' experiences of PM2.5 prevention for preschool children in Thailand: a qualitative study with focus group interviews.

Climate-stratified assessment of PM2.5 using machine learning: Geographic controls dominate meteorological factors.

A novel deep learning prediction method for PM2.5 integrating improved MSTL decomposition and FATA optimization algorithm.

Explainable spatiotemporal Graph Neural Networks: Multi-City PM2.5 forecasting in Bangladesh with geographic graph topology validation.

Inverse Modeling Identifies Efficient Emission Control Strategy for Mitigating PM2.5 Pollution.

Paradoxical PM2.5-longevity estimates in global country panels are sensitive to differential trend control: a specification analysis, 2000-2023.

A robust and uncertainty-aware machine learning framework for PM2.5 prediction in a coastal urban Indian environment: implications for sustainable air quality management

Abstract Accurate prediction of fine particulate matter (PM2.5) remains challenging because atmospheric processes are nonlinear, nonstationary, and influenced by temporal variability, measurement uncertainty, and episodic pollution events. ...

Air pollution mapping and variability over five European cities

Mapping urban pollution is essential for assessing population exposure and addressing associated health impacts. High urban concentrations are due to the proximity of sources such as traffic or residential heating, and to urban density with...

Evaluating the impact of urban traffic patterns on air pollution emissions in Dublin: a regression model using google project air view data and traffic data

Abstract Air pollution is a significant and pressing environmental and public health concern in urban areas, primarily driven by road transport. By gaining a deeper understanding of how traffic dynamics influence air pollution, policymakers...

Estimating the number of cardio-pulmonary events potentially averted by fine particulate matter air quality index activity guidelines

Background: Fine particulate matter 100 for PM2.5) for 3 groups (healthy adults, ASCVD and pulmonary disease patients) in the US during 2022. The theoretical number of adverse events potentially prevented per county was estimated each day a...

A systematic review of the physical and chemical characteristics of pollutants from biomass burning and combustion of fossil fuels and health effects in Brazil

The aim of this study was to carry out a review of scientific literature published in Brazil between 2000 and 2009 on the characteristics of air pollutants from different emission sources, especially particulate matter (PM) and its effects ...

Assessing PM2.5 pollution in the Northeastern United States from the 2023 Canadian wildfire smoke: an episodic study integrating air quality and health impact modeling with emissions and meteorological uncertainty analysis

Between June 6 and 8, 2023, wildfires in Quebec, Canada generated massive smoke plumes that traveled long distances and deteriorated air quality across the Northeastern United States (US). Surface daily PM _2.5 observations exceeded 100 µ g...

Impact of early life exposure to heat and cold on linguistic development in two-year-old children: findings from the ELFE cohort study

Abstract Background A number of negative developmental outcomes in response to extreme temperature have been documented. Yet, to our knowledge, environmental research has left the question of the effect of temperature on human neurodevelopm...

Effects of long-term exposure to air pollutant mixture on blood pressure in typical areas of North China

Background: Studies about the combined effects of gaseous air pollutants and particulate matters are still rare. Objectives: This study was performed based on baseline survey of the Diverse Life-Course Cohort in the Beijing-Tianjin-Hebei (B...

Exposure to particulate matter (PM2.5) and prevalence of diabetes mellitus in Indonesia

Background: Recently emerging evidence suggests an association between particulate matter less than 2.5 µm in diameter (PM2.5) exposure and diabetes risk. However, evidence from Asia is limited. Here, we evaluated the association between PM...

Study on PM2.5 pollution and the mortality due to lung cancer in China based on geographic weighted regression model

Abstract Background PM2.5 has become a major component of air pollution in China and has led to a series of health problems. The mortality rate caused by lung cancer has reached the point where it cannot be ignored in China. Air pollution i...

Long-term exposure to air pollution and incidence risk of various arrhythmias: A prospective cohort study

To investigate the association of long-term exposure to air pollution with incident arrhythmia from various causes, this prospective cohort study included 442,386 participants from the UK Biobank cohort. Residential annual average exposures...

Predicting air quality index using artificial neural network: a case study of the Coimbatore region

Abstract This study predicts the Air Quality Index (AQI) in the Coimbatore region using Artificial Neural Networks (ANN) to enhance air quality management and environmental science. The researchers measured six input variables over a two-ye...

Use of machine learning algorithms to determine the relationship between air pollution and cognitive impairment in Taiwan

Air pollution has become a major global threat to human health. Urbanization and industrialization over the past few decades have increased the air pollution. Plausible connections have been made between air pollutants and dementia. This st...

Using generalized random forests to characterize vulnerability to adverse health outcomes following wildfire smoke exposure in California

Background: As the health burden attributable to wildfire activity increases under climate change, it is crucial to determine which subgroups face heightened vulnerability to wildfire smoke. Marginalized communities may experience dispropor...