The application of low‐cost air quality monitoring networks has substantially grown over the
last few years, following the technological advances in the production of cheap and portable …

High-resolution, high-quality exposure modeling is critical for assessing the health effects of
ambient PM 2.5 in epidemiological studies. Using sparse regulatory PM 2.5 measurements …

With rapid economic growth, urbanization and industrialization, fine particulate matter with
aerodynamic diameters≤ 2.5 µm (PM 2.5) has become a major pollutant and shows …

The increased frequency of wildfires in the Western United States has raised public
awareness of the impact of wildfire smoke on air quality and human health. Exposure to …

Data Openness is considered as an indispensable component for scientific innovation,
community engagement and smart city development. In this study, a Data Openness in Air …

Spatial mapping of forests canopy height (Hcanopy) provides an opportunity to assess
above-ground biomass, net primary productivity, carbon dioxide (CO 2) sequestration …

Wildland fire smoke contains large amounts of PM 2.5 that can traverse tens to hundreds of
kilometers, resulting in significant deterioration of air quality and excess mortality and …

Determining the most feasible and cost-effective approaches to improving PM 2.5 exposure
assessment with low-cost monitors (LCMs) can considerably enhance the quality of its …

Computational modeling allows studying the air quality problems in depth and provides the
best solution reducing the population risks. This research demonstrates the Graz …

At present, fine particulate matter (PM2. 5) has become an important pollutant in regard to air
pollution and has seriously harmed the ecological environment and human health. In the …