Record Display for the EPA National Library Catalog

RECORD NUMBER: 27 OF 33

Main Title Receptor model analyses of aerosol PM2.5 data from the IMPROVE monitor at Denali National Park
Other Authors
Author Title of a Work
Kotchenruther, Robert.
Wilson, Robert.
CORP Author Environmental Protection Agency, Seattle, WA. Region X.
Publisher U.S. Environmental Protection Agency, Region 10,
Year Published 2003
Report Number EPA 910-R-03-004
Stock Number PB2004-101211
OCLC Number 53121507
Subjects Air quality management--Methodology ; Air--Pollution--Mathematical models
Additional Subjects Particulates ; Sources ; Air pollution monitoring ; Aerosols ; Chemical analysis ; Data processing ; Receptor models ; UNMIX Version 2.3 ; PMF receptor model ; PMF(Positive Matrix Factorization) ; Denali National Park
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100FFIK.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
ESAD  EPA 910-R-03-004 3 copies Region 10 Library/Seattle,WA 06/10/2016
NTIS  PB2004-101211 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 1 v. (various pagings) : ill. ; 28 cm.
Abstract
The UNMIX and PMF receptor models were used to identify sources of PM2.5 at Denali National Park. The models used fourteen years of IMPROVE data, from 1988 to 2002. Both models indicated four sources and gave similar results, however, the model performance in both cases was poor due to low filter mass loadings, which lead to high levels of uncertainty in the chemical analyses and relatively poor fitting statistics in the models. Despite the poor fitting statistics in the models, three of four sources were identified. These sources were identified as biomass burning, soil dust, and sulfate and nitrate haze. PMF was found to be better than UNMIX in isolating source signatures and gave results with higher confidence. The fourth and smallest source could not be reliably quantified by UNMIX, but was quantified by PMF. This source remains unidentified.
Notes
"EPA Technical Report 910-R-03-004." Includes bibliographical references and index.
Contents Notes
"The UNMIX and PMF receptor models were used to identify sources of PM2.5 at Denali National Park. The models used fourteen years of IMPROVE data, from 1988 to 2002. Both models indicated four sources and gave similar results; however, the model performance in both cases was poor due to low filter mass loadings, which lead to high levels of uncertainty in the chemical analyses and relatively poor fitting statistics in the models. Despite the poor fitting statisitcs in the models, three of four sources were identified. These sources were identified as biomass burning, soil dust, and sulfate and nitrate haze. PMF was found to be better than UNMIX in isolating source signatures and gave results with higher confidence. The fourth and smallest source could not be reliably quantified by UNMIX, but was quantified by PMF. This source remains unidentified." -- Summary, p. 1.