Land use regression (LUR) models are widely used in epidemiological and environmental
studies to estimate humans' exposure to air pollution within urban areas. However, the early …

In the last decades, a tendency towards urban tissue densification has been observed to
counteract the urban sprawl. Densification may be achieved through more compact built …

Within-city ultrafine particle (UFP) concentrations vary sharply since they are influenced by
various factors. We developed prediction models for short-term UFP exposures using street …

Abstract Land Use Regression models (LUR) are the most common tools to estimate intra-
urban air pollutant exposure in epidemiological studies. However, number of available and …

Urban cemeteries are increasingly surrounded by areas of high residential density as
urbanization continues world-wide. With increasing rates of mortality caused by the novel …

In this study, we describe the development of seasonal winter and summer (heating and non-
heating season) land use regression (LUR) models for PM2. 5 mass concentration for the …

Exposure to ultrafine particles (UFP) is increasingly linked to adverse health outcomes.
While nation-wide air monitoring networks in the United States do not measure UFP, small …

11.5 APPLICATION OF EUROPEAN PM2. 5 LAND USE REGRESSION MODEL ON NOVI SAD
MUNICIPALITY, SERBIA Page 89 89 11.5 APPLICATION OF EUROPEAN PM2. 5 LAND USE …

This study evaluated ground-level concentrations (GLCs) of aerosols and criteria pollutants
using the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis dataset over the …

On-road motor vehicles are responsible for a considerable proportion of near-road air
pollution. While background levels of air pollutants are continuously tracked by regional …