Cluster-based bagging of constrained mixed-effects models for high spatiotemporal resolution nitrogen oxides prediction over large regions.

ABSTRACT:

Background

Accurate estimation of nitrogen dioxide (NO₂) and nitrogen oxide (NO_x) concentrations at high spatiotemporal resolutions is crucial for improving evaluation of their health effects, particularly with respect to short-term exposures and acute health outcomes. For estimation over large regions like California, high spatial density field campaign measurements can be combined with more sparse routine monitoring network measurements to capture spatiotemporal variability of NO₂ and NO_x concentrations. However, monitors in spatially dense field sampling are often highly clustered and their uneven distribution creates a challenge for such combined use. Furthermore, heterogeneities due to seasonal patterns of meteorology and source mixt

SUBMITTER: Li L 

PROVIDER: S-EPMC6538277 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature