Application of the pseudo-deterministic receptor model to resolve power plant influences on air quality in Pittsburgh. Park, Shik, S., Pancras, Patrick, J., Ondov, J. M., & Robinson, A. Aerosol Sci. Technol., 40(10):883-897, TAYLOR \& FRANCIS INC, 325 CHESTNUT ST, SUITE 800, PHILADELPHIA, PA 19106 USA, 2006. Aerosol Science and Technologydoi abstract bibtex A multivariate pseudo-deterministic receptor model was applied to determine emission and ambient source contributions rates Of SO2 and elements from four small coal-fired boilers influencing air quality at the Carnegie Mellon University (CMU) Supersite. The model was applied to ambient SO2 and particle measurements, the latter, made every 30-min for 10 elements (Al, As, Cr, Cu, Fe, Mn, Ni, Ph, Se, and Zn) during a 12.5-h period on April 1, when winds blew from between 290-330 degrees in which the four coal boilers are situated. Agreement between predicted and observed SO2 concentrations was excellent (r of 0.92; and their ratio, 1.09 +/- 0.22) when 4 emission sources were used in the model. Average ratios of predicted and observed concentrations for As, Cr, Cu, Ni, Ph, Se, and Zn varied from 0.97 +/- 10.20 for Cr to 1.07 +/- 0.44 for As. Performance indices for these elements were all well within acceptable ranges. Emission rate ratios of various metal species to Se predicted are similar for the three of the coal boilers, but differed substantially for the fourth, as expected for a boiler with minimal particle control technology. All are within the range derived from previous PDRM results and in-stack measurements (except Al) at 7 Eastern U.S. coal-fired power plants. The results suggest that the PDRM approach is applicable to a city encompassing complex topography and may successfully be applied using commonly available meteorological data.
@article{ Park:ast:2006a,
abstract = {A multivariate pseudo-deterministic receptor model was applied to determine emission and ambient source contributions rates Of SO2 and elements from four small coal-fired boilers influencing air quality at the Carnegie Mellon University (CMU) Supersite. The model was applied to ambient SO2 and particle measurements, the latter, made every 30-min for 10 elements (Al, As, Cr, Cu, Fe, Mn, Ni, Ph, Se, and Zn) during a 12.5-h period on April 1, when winds blew from between 290-330 degrees in which the four coal boilers are situated. Agreement between predicted and observed SO2 concentrations was excellent (r of 0.92; and their ratio, 1.09 +/- 0.22) when 4 emission sources were used in the model. Average ratios of predicted and observed concentrations for As, Cr, Cu, Ni, Ph, Se, and Zn varied from 0.97 +/- 10.20 for Cr to 1.07 +/- 0.44 for As. Performance indices for these elements were all well within acceptable ranges. Emission rate ratios of various metal species to Se predicted are similar for the three of the coal boilers, but differed substantially for the fourth, as expected for a boiler with minimal particle control technology. All are within the range derived from previous PDRM results and in-stack measurements (except Al) at 7 Eastern U.S. coal-fired power plants. The results suggest that the PDRM approach is applicable to a city encompassing complex topography and may successfully be applied using commonly available meteorological data.},
address = {325 CHESTNUT ST, SUITE 800, PHILADELPHIA, PA 19106 USA},
author = {Park, Seung Shik and Pancras, J. Patrick and Ondov, John M. and Robinson, Allen},
citations = {4},
date = {2006},
date-added = {2008-11-26 10:58:18 +0100},
date-modified = {2008-11-26 11:00:51 +0100},
doi = {DOI 10.1080/02786820600776352},
isi = {000239954300014},
isi-recid = {151682546},
isi-ref-recids = {143920346 98845732 151682547 67436717 151682548 41811842 31045892 65558882 52038308 132753376 120608087 151682549 151682550 104255616 68397099 16844843 107399547 67375267 39608576 46005099 71190201 37072892 82131692 151682551 144207801 151682552 107198553 64777797 106946660 12821588 95033710 71894052 61765041},
journal = {Aerosol Sci. Technol.},
note = {Aerosol Science and Technology},
number = {10},
pages = {883-897},
publisher = {TAYLOR \& FRANCIS INC},
timescited = {4},
title = {Application of the pseudo-deterministic receptor model to resolve power plant influences on air quality in {P}ittsburgh},
volume = {40},
year = {2006},
bdsk-url-1 = {http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;KeyUT=000239954300014}
}
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Agreement between predicted and observed SO2 concentrations was excellent (r of 0.92; and their ratio, 1.09 +/- 0.22) when 4 emission sources were used in the model. Average ratios of predicted and observed concentrations for As, Cr, Cu, Ni, Ph, Se, and Zn varied from 0.97 +/- 10.20 for Cr to 1.07 +/- 0.44 for As. Performance indices for these elements were all well within acceptable ranges. Emission rate ratios of various metal species to Se predicted are similar for the three of the coal boilers, but differed substantially for the fourth, as expected for a boiler with minimal particle control technology. All are within the range derived from previous PDRM results and in-stack measurements (except Al) at 7 Eastern U.S. coal-fired power plants. The results suggest that the PDRM approach is applicable to a city encompassing complex topography and may successfully be applied using commonly available meteorological data.","address":"325 CHESTNUT ST, SUITE 800, PHILADELPHIA, PA 19106 USA","author":["Park","Shik, Seung","Pancras","Patrick, J.","Ondov, John M.","Robinson, Allen"],"author_short":["Park","Shik, S.","Pancras","Patrick, J.","Ondov, J.<nbsp>M.","Robinson, A."],"bdsk-url-1":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;KeyUT=000239954300014","bibtex":"@article{ Park:ast:2006a,\n abstract = {A multivariate pseudo-deterministic receptor model was applied to determine emission and ambient source contributions rates Of SO2 and elements from four small coal-fired boilers influencing air quality at the Carnegie Mellon University (CMU) Supersite. The model was applied to ambient SO2 and particle measurements, the latter, made every 30-min for 10 elements (Al, As, Cr, Cu, Fe, Mn, Ni, Ph, Se, and Zn) during a 12.5-h period on April 1, when winds blew from between 290-330 degrees in which the four coal boilers are situated. Agreement between predicted and observed SO2 concentrations was excellent (r of 0.92; and their ratio, 1.09 +/- 0.22) when 4 emission sources were used in the model. Average ratios of predicted and observed concentrations for As, Cr, Cu, Ni, Ph, Se, and Zn varied from 0.97 +/- 10.20 for Cr to 1.07 +/- 0.44 for As. Performance indices for these elements were all well within acceptable ranges. Emission rate ratios of various metal species to Se predicted are similar for the three of the coal boilers, but differed substantially for the fourth, as expected for a boiler with minimal particle control technology. All are within the range derived from previous PDRM results and in-stack measurements (except Al) at 7 Eastern U.S. coal-fired power plants. The results suggest that the PDRM approach is applicable to a city encompassing complex topography and may successfully be applied using commonly available meteorological data.},\n address = {325 CHESTNUT ST, SUITE 800, PHILADELPHIA, PA 19106 USA},\n author = {Park, Seung Shik and Pancras, J. 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