Journal article
Land use regression models coupled with meteorology to model spatial and temporal variability of NO2 and PM10 in Changsha, China
Abstract
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 annual or monthly average concentration of air pollutants, with high spatial but low temporal resolution. In this paper, we combined LUR models with meteorological conditions to estimate daily nitrogen dioxide (NO2) and particulate matter (PM10) concentrations in the urban …
Authors
Liu W; Li X; Chen Z; Zeng G; León T; Liang J; Huang G; Gao Z; Jiao S; He X
Journal
Atmospheric Environment, Vol. 116, , pp. 272–280
Publisher
Elsevier
Publication Date
September 2015
DOI
10.1016/j.atmosenv.2015.06.056
ISSN
1352-2310