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

Journal: Environment international
PMID: 31078000

Abstract

BACKGROUND: Accurate estimation of nitrogen dioxide (NO) and nitrogen oxide (NO) 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 NO and NO 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 mixtures between sub-regions (e.g. southern vs. northern California) need to be addressed.

Authors

  • Lianfa Li
    Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA; State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources, Chinese Academy of Sciences, Beijing, China. Electronic address: lianfali@usc.edu.
  • Mariam Girguis
    Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
  • Frederick Lurmann
    Sonoma Technology, Inc., Petaluma, CA, USA.
  • Jun Wu
    Department of Emergency, Zhuhai Integrated Traditional Chinese and Western Medicine Hospital, Zhuhai, 519020, Guangdong Province, China. quanshabai43@163.com.
  • Robert Urman
    Department of Preventive Medicine, University of Southern California, 2001 N. Soto Street, MC-9234, Los Angeles, CA, 90089, USA.
  • Edward Rappaport
    Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
  • Beate Ritz
    Departments of Epidemiology and Environmental Health, Fileding School of Public Health, University of California, Los Angeles, CA, USA.
  • Meredith Franklin
    Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
  • Carrie Breton
    Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
  • Frank Gilliland
    Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
  • Rima Habre
    Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.

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