Air Quality Monitoring Network Design Optimisation for Robust Land Use Regression Models
Abstract
A very common curb of epidemiological studies for understanding the impact of air pollution on health is the quality of exposure data available. Many epidemiological studies rely on empirical modelling techniques, such as land use regression (LUR), to evaluate ambient air exposure. Previous studies have located monitoring stations in an ad hoc fashion, favouring their placement in traffic “hot spots”, or in areas deemed subjectively...
Paper Details
Title
Air Quality Monitoring Network Design Optimisation for Robust Land Use Regression Models
Published Date
May 5, 2018
Journal
Volume
10
Issue
5
Pages
1442 - 1442
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