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Spatio-temporal modeling of fine particulate matter

Publication ,  Journal Article
Sahu, SK; Gelfand, AE; Holland, DM
Published in: Journal of Agricultural, Biological, and Environmental Statistics
March 1, 2006

Studies indicate that even short-term exposure to high concentrations of fine atmospheric particulate matter (PM2.5) can lead to long-term health effects. In this article, we propose a random effects model for PM2.5 concentrations. In particular, we anticipate urban/rural differences with regard to both mean levels and variability. Hence we introduce two random effects components, one for rural or background levels and the other as a supplement for urban areas. These are specified in the form of spatio-temporal processes. Weighting these processes through a population density surface results in nonstationarity in space. We analyze daily PM2.5 concentrations in three midwestern U.S. states for the year 2001. A fully Bayesian model is implemented, using MCMC techniques, which enables full inference with regard to process unknowns as well as predictions in time and space. © 2006 American Statistical Association and the International Biometric Society.

Duke Scholars

Published In

Journal of Agricultural, Biological, and Environmental Statistics

DOI

ISSN

1085-7117

Publication Date

March 1, 2006

Volume

11

Issue

1

Start / End Page

61 / 86

Related Subject Headings

  • Statistics & Probability
  • 49 Mathematical sciences
  • 41 Environmental sciences
  • 31 Biological sciences
  • 06 Biological Sciences
  • 05 Environmental Sciences
  • 01 Mathematical Sciences
 

Citation

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ICMJE
MLA
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Sahu, S. K., Gelfand, A. E., & Holland, D. M. (2006). Spatio-temporal modeling of fine particulate matter. Journal of Agricultural, Biological, and Environmental Statistics, 11(1), 61–86. https://doi.org/10.1198/108571106X95746
Sahu, S. K., A. E. Gelfand, and D. M. Holland. “Spatio-temporal modeling of fine particulate matter.” Journal of Agricultural, Biological, and Environmental Statistics 11, no. 1 (March 1, 2006): 61–86. https://doi.org/10.1198/108571106X95746.
Sahu SK, Gelfand AE, Holland DM. Spatio-temporal modeling of fine particulate matter. Journal of Agricultural, Biological, and Environmental Statistics. 2006 Mar 1;11(1):61–86.
Sahu, S. K., et al. “Spatio-temporal modeling of fine particulate matter.” Journal of Agricultural, Biological, and Environmental Statistics, vol. 11, no. 1, Mar. 2006, pp. 61–86. Scopus, doi:10.1198/108571106X95746.
Sahu SK, Gelfand AE, Holland DM. Spatio-temporal modeling of fine particulate matter. Journal of Agricultural, Biological, and Environmental Statistics. 2006 Mar 1;11(1):61–86.
Journal cover image

Published In

Journal of Agricultural, Biological, and Environmental Statistics

DOI

ISSN

1085-7117

Publication Date

March 1, 2006

Volume

11

Issue

1

Start / End Page

61 / 86

Related Subject Headings

  • Statistics & Probability
  • 49 Mathematical sciences
  • 41 Environmental sciences
  • 31 Biological sciences
  • 06 Biological Sciences
  • 05 Environmental Sciences
  • 01 Mathematical Sciences