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Locations and preferred pathways of possible sources of Arctic aerosol
Institution:1. Department of Chemistry, Clarkson University, Potsdam, NY 13699-5810, USA;2. Department of Physics, University of Helsinki, P.O. Box 9, FIN-00014, Finland;3. Atmospheric Environment Service, 4905 Dufferin Street, Downsview, Ontario, Canada M3H 5T4;1. Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, USA;2. Department of Mechanical Engineering, Indian Institute of Technology, Bombay, India;1. Department of Physiology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Nijmegen, Netherlands;2. Department of Molecular Developmental Biology, Radboud Institute for Molecular Life Sciences, Radboud University, Nijmegen, Netherlands;3. Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
Abstract:The chemical composition of particles collected at Alert, Northwest Territories, Canada, show strong, persistent seasonal variations. In a previous study, a 2-way/3-way mixed factor model was performed on the weekly average concentrations of 24 aerosol components measured over the period from 1980 to 1991. The Multilinear Engine (ME), a new mathematical technique, was used to obtain the solution. The two modes of the 2-way model consist of the source composition profiles and mass contributions over the 11 yr, while for the three modes of the 3-way model, source profiles, mass contributions variations over the weeks within a year, and the year-to-year variation over the 11 yr within the measurement period. Five 2-way and two 3-way factors were found to provide a good fit to the data and were easily interpreted. In this investigation, potential source contribution function (PSCF) analysis was applied to the source contributions derived from the ME analysis by incorporating meteorological information in the form of 5-d air parcel back trajectories. The potential locations and/or the preferred pathways of these possible sources were then determined by the PSCF analysis.
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