Studies on the health effects of long-term average exposure to outdoor air pollution have
played an important role in recent health impact assessments. Exposure assessment for …

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 …

Estimating within-city variability in air pollution concentrations is important. Land use
regression (LUR) models are able to explain such small-scale within-city variations …

The soil environment is being continually contaminated with heavy metals from emissions
that are introduced from both the atmosphere and water under the condition of rapid …

Land use regression (LUR) models are widely used in epidemiological studies to assess
exposure to air pollution. However, most of the existing LUR studies focus on estimating …

Due to the worldwide trend of industrialization and urbanization, air pollutants were emitted
heavily on a global scale particularly in developing countries, which produces adverse …

Land use regression (LUR) model was employed to predict the spatial concentration
distribution of NO2 and PM10 in the Tianjin region based on the environmental air quality …

Allergic diseases represent a major health problem in Europe. They are increasing in
prevalence, severity and costs. The Global Allergy and Asthma European Network …

Background: Land use regression (LUR) models have been developed mostly to explain
intraurban variations in air pollution based on often small local monitoring campaigns …

Abstract Background The South Durban (SD) area of Durban, South Africa, has a history of
air pollution issues due to the juxtaposition of low-income communities with industrial areas …