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Interpolating Vancouver's Daily Ambient PM 10 Field

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Abstract: In this article we develop a spatial predictive distribution for the ambient space- time response field of daily ambient PM10 in Vancouver, Canada. Observed responses have a consistent temporal pattern from one monitoring site to the next. We exploit this feature of the field by adopting a response model with two components, a common deterministic trend across all sites plus a stochastic residual. We are thereby able to whiten the temporal residuals without losing much of the spatial correlation in the original log transformed series. This in turn enables us to develop an effective spatial predictive distribution for these residuals at unmonitored sites. By transforming the predicted residuals back to the original data scales we can impute Vancouver's daily PM10 field for purposes such as human exposure and health impacts analysis.

The U.S. Environmental Protection Agency through its Office of Research and Development partially funded the research described here under a Cooperative Agreement #CR825267-01 to Harvard University School of Public Health. It has been subjected to Agency review and approved for publication. Mention of trade names or commercial products does not constitute an endorsement or recommendation for use.
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Citation:Sun, L., J. Zidek, N. D. Le, and A. H. Ozkaynak. Interpolating Vancouver's Daily Ambient PM 10 Field. ENVIRONMETRICS 11(6):651-663, (2000).
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Contact: Liz Hope - (919) 541-2785 or hope.elizabeth@epa.gov
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Division: Human Exposure & Atmospheric Sciences Division
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Branch: Human Exposure Analysis Branch
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Product Type: Journal
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Published: 11/01/2000
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Related Entries:
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Bullet Item PM Population Exposure and Dose Models
spacer Relationship Reason:   A Project of the Product
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Last Updated on Monday, October 22, 2007
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