Abstract
The ability of four (4) enhancements of gridded PM2.5 concentrations derived from observations and air quality models to detect the relative risk of long-term exposure to PM2.5 are evaluated with a simulation study. The four enhancements include nearest-neighbor (NN or central monitor), ordinary kriging (OK), FUSED (bias-adjusted model output), and direct use of model outputs (CMAQ). The methods are applied to the state of New York. After adjusting for PM estimation bias and range modification, FUSED PM and CMAQ had similar performance and were better than kriged and nearest neighbor PM.
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The United States Environmental Protection Agency through its Office of Research and Development collaborated in the research described here. It has been subjected to Agency review and approved for publication.
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Haluk Ozkaynak: How does bias correction methodology influence the confidence interval estimates of the alternative relative risk (β) estimates?
P. Steven Porter: We did not compute β confidence intervals. Methods with smaller mean squared errors should also have smaller confidence intervals.
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Porter, P.S., Gégo, E., Garcia, V., Rao, S.T. (2014). Benefits of Using Enhanced Air Quality Information in Human Health Studies. In: Steyn, D., Builtjes, P., Timmermans, R. (eds) Air Pollution Modeling and its Application XXII. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5577-2_12
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DOI: https://doi.org/10.1007/978-94-007-5577-2_12
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