Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM₂.₅ in the eastern United States
By: Christopher J. Paciorek and Yang Liu ; with a commentary by the HEI Health Review Committee
Contributors: Liu, Yang; Health Effects Institute. Health Review Committee
Series: Research report -- 167; Research report (Health Effects Institute) -- no. 167.
Publisher: Health Effects Institute
Published: 2012
Place of publication: Boston, Mass
Language: eng
Number of pages: 96
Subjects: Aerosols; Statistics; Measurement; Air quality; Air; Pollution; Air Pollution; Statistics & numerical data
Other titles: Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States
Description: "This report describes a study to assess the ability of satellite-based measurements from National Aeronautics and Space Administration (NASA) satellites to fill spatial and temporal gaps in existing monitoring networks in the eastern United States. Dr. Paciorek and colleagues developed statistical models for integrating monitoring, satellite, and geographic information system (GIS) data to estimate monthly ambient PM2.5 concentrations and used those models to estimate monthly average PM2.5 concentrations across the eastern United States. They then developed and applied statistical methods to quantify how uncertainties in exposure estimates based on ground-level monitoring data might be reduced."--Publisher's website.
Notes: "May 2012"--Cover.

"Walter A. Rosenblith New Investigator Award, research report"--Cover.

Appendices are available only on the web and are not part of the printed report.

Includes bibliographical references.

Also available via the World Wide Web.