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Exploratory Studies of PM10Receptor and Source Profiling by GC/MS and Principal Component Analysis of Temporally and Spatially Resolved Ambient Samples
- Source :
- Journal of the Air & Waste Management Association; May 2001, Vol. 51 Issue: 5 p766-784, 19p
- Publication Year :
- 2001
-
Abstract
- ABSTRACTFor a recent exploratory study of particulate matter (PM) compositions, origins, and impacts in the El Paso/Juarez (Paso del Norte) airshed, the authors relied on solvent extraction (SX)-gas chromatography/mass spectrometry (GC/MS) procedures to characterize 24-hr quartz fiber (QF) filter samples obtained from nine spatially distributed high-volume (Hi-Vol) PM10samplers as well as on thermal de-sorption (TD)-GC/MS methods to characterize 45 time-resolved (2-hr) filter samples obtained with modified 1-m3/hr PM10samplers. Principal component analysis and related chemometric techniques were used for data reduction and data fusion as well as for multiway data correlation.A high degree of correspondence (R2= 0.821) was found between the rapid TD-GC/MS method (which can be carried out on 2-hr filter slices containing only micro-gram amounts of sample) and conventional SX-GC/MS procedures. The four main source patterns of organic PM components observed in GC/MS profiles of both temporally and spatially resolved receptor samples obtained in the El Paso/Juarez border airshed during the study period are interpreted to represent (1) vehicular emissions plus resuspended urban dust; (2) biomass combustion; (3) native vegetation detritus and resuspended agricultural dust; and (4) waste burning. Moreover, principal component analysis of combined, variance-weighted, temporally resolved TD-GC/MS data and spatially resolved SX-GC/MS data was used to determine approximate source locations for specific PM components identified in time-resolved receptor sample profiles. The same approach can be used to determine approximate circadian concentration profiles of specific PM components identified in spatially resolved receptor sample profiles.
Details
- Language :
- English
- ISSN :
- 10962247
- Volume :
- 51
- Issue :
- 5
- Database :
- Supplemental Index
- Journal :
- Journal of the Air & Waste Management Association
- Publication Type :
- Periodical
- Accession number :
- ejs27287934
- Full Text :
- https://doi.org/10.1080/10473289.2001.10464303