Networks of fixed-site air monitors form the backbone of current efforts to predict health effects of air pollution. But there aren’t enough monitors on the ground to accurately account for local variations in ambient concentrations of air pollutants, even for those pollutants considered of most concern in many countries, such as fine particulate matter (PM2.5). Experts have long struggled to d...

This study introduced satellite-derived aerosol optical depth (AOD) in land use regression (LUR) modeling to predict ambient concentrations of fine particulate matter (PM2.5) and its elemental composition. Twenty-four daily samples were collected from 17 air quality monitoring sites (N = 408) Taiwan 2014. A total 12 annual LUR models developed for PM2.5 11 elements, including aluminum, calcium,...

Networks of fixed-site air monitors form the backbone of current efforts to predict health effects of air pollution. But there aren’t enough monitors on the ground to accurately account for local variations in ambient concentrations of air pollutants, even for those pollutants considered of most concern in many countries, such as fine particulate matter (PM2.5). Experts have long struggled to d...

BACKGROUND Despite the recent developments in physically and chemically based analysis of atmospheric particles, no models exist for resolving the spatial variability of pollen concentration at urban scale. OBJECTIVES We developed a land use regression (LUR) approach for predicting spatial fine-scale allergenic pollen concentrations in the Helsinki metropolitan area, Finland, and evaluated th...

Heatwaves have been the deadliest weather extreme events in Europe last decades. People living cities are especially prone to such due urban heat island (UHI) effect which increases stress surroundings during calm, steady, and radiation intensive synoptic situations. Since official measurement stations scarce, studies on spatial patterns of UHIs often rely satellite data, hobby meteorologists' ...