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Source Apportionment of Fine Particulate Matter by Clustering Single-Particle Data: Tests of Receptor Model Accuracy

Bhave, Prakash V. and Fergenson, David P. and Prather, Kimberly A. and Cass, Glen R. (2001) Source Apportionment of Fine Particulate Matter by Clustering Single-Particle Data: Tests of Receptor Model Accuracy. Environmental Science and Technology, 35 (10). pp. 2060-2072. ISSN 0013-936X. doi:10.1021/es0017413.

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The source apportionment accuracy of a neural network algorithm (ART-2a) is tested on the basis of its application to synthetic single-particle data generated by a source-oriented aerosol processes trajectory model that simulates particle emission, transport, and chemical reactions in the atmosphere. ART-2a successfully groups particles from the majority of sources actually present, when given complete data on ambient particle composition at monitoring sites located near the emission sources. As particles age in the atmosphere, accumulation of gas-to-particle conversion products can act to disguise the source of the primary core of the particles. When ART-2a is applied to synthetic single-particle data that are modified to simulate the biases in aerosol time-of-flight mass spectrometry (ATOFMS) measurements, best results are obtained using the ATOFMS dual ion operating mode that simultaneously yields both positive and negative ion mass spectra. The results of this study suggest that the use of continuous single-particle measurements coupled with neural network algorithms can significantly improve the time resolution of particulate matter source apportionment.

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Additional Information:© 2001 American Chemical Society. Received for review October 9, 2000. Revised manuscript received February 12, 2001. Accepted February 14, 2001. This research was supported by the U.S. Environmental Protection Agency under Agreement R826371-01-0 and by funds granted to the Caltech Center for Air Quality Analysis. Thanks are due to Philip Hopke and Xin-Hua Song from Clarkson University, Michael Kleeman from the University of California at Davis, Philip Silva from the University of California at Riverside, and Annmarie Eldering of the Jet Propulsion Laboratory, for their assistance with this research.
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Environmental Protection Agency (EPA)R826371-01-0
Caltech Center for Air Quality AnalysisUNSPECIFIED
Issue or Number:10
Record Number:CaltechAUTHORS:20160607-145728738
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Official Citation:Source Apportionment of Fine Particulate Matter by Clustering Single-Particle Data:  Tests of Receptor Model Accuracy Prakash V. Bhave, David P. Fergenson, Kimberly A. Prather, and Glen R. Cass Environmental Science & Technology 2001 35 (10), 2060-2072 DOI: 10.1021/es0017413
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:67755
Deposited By: George Porter
Deposited On:08 Jun 2016 17:40
Last Modified:11 Nov 2021 03:54

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