| Main Title |
Receptor model analyses of aerosol PM2.5 data from the IMPROVE monitor at Denali National Park |
| Other Authors |
|
| 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 23 ;
PMF receptor model ;
PMF(Positive Matrix Factorization) ;
Denali National Park
|
| Internet Access |
|
| 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. |
