Journal
ATMOSPHERIC ENVIRONMENT
Volume 41, Issue 40, Pages 9616-9624Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2007.08.022
Keywords
CMB; PM2.5; uncertainty; Monte Carlo analysis
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The chemical mass balance (CM B) model was applied for source apportionment Of PM2.5 in Atlanta in order to explore levels and causes of uncertainties in source contributions. Monte Carlo analysis with Latin hypercube sampling (MC-LHS) was performed to evaluate the source impact uncertainties and quantify how uncertainties in ambient measurement and source profile data affect results. In general, uncertainties in the source profile data contribute more to the final uncertainties in source apportionment results than do those in ambient measurement data. Uncertainty contribution estimates suggest that non-linear interactions among source profiles also affect the final uncertainties although their influence is typically less than uncertainties in source profile data. (c) 2007 Elsevier Ltd. All rights reserved.
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