Record Display for the EPA National Library Catalog

RECORD NUMBER: 37 OF 140

OLS Field Name OLS Field Data
Main Title Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States /
Author Paciorek, Christopher J.
Other Authors
Author Title of a Work
Liu, Yang.
Publisher Health Effects Institute,
Year Published 2012
Report Number HEI-167
OCLC Number 801696289
Subjects Aerosols--Measurement--Statistics. ; Air quality--Measurement--Statistics. ; Air--Pollution--Measurement--Statistics.
Internet Access
Description Access URL
http://pubs.healtheffects.org/view.php?id=378
App. B http://pubs.healtheffects.org/getfile.php?u=720
App. C http://pubs.healtheffects.org/getfile.php?u=721
App. D http://pubs.healtheffects.org/getfile.php?u=722
App. E http://pubs.healtheffects.org/getfile.php?u=723
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKBD  HEI-167 Research Triangle Park Library/RTP, NC 07/30/2012
Collation vii, 96 p. : ill. (some col.), charts, maps ; 28cm.
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.
Contents Notes
"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.