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SPATIAL PREDICTION OF FINE PARTICULATE MATTER
Citation:
Holland, D M. AND M. Fuentes. SPATIAL PREDICTION OF FINE PARTICULATE MATTER. Presented at 2000 Proceedings of the Section on Statistics and the Environment. Annual Meeting of the American Statistical Association, Indianapolis, IN, August 13-17, 2000.
Impact/Purpose:
Our main objective is to assess the exposure of selected ecosystems to specific atmospheric stressors. More precisely, we will analyze and interpret environmental quality (primarily atmospheric) data to document observable changes in environmental stressors that may be associated with legislatively-mandated emissions reductions.
Description:
A new national monitoring network for the measurement of fine particular matter (PM2.5) is currently under development. A primary goal of this network is to collect monitoring data in residential communities for the evaluation of compliance with particulate air quality standards, In this analysis, we apply an empirical Bayesian approach io predict PM2.5 at selected points within multi-state regions covering the eastern U.S.