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The use of multivariate analysis to identify sources of selected elements in the Boston urban aerosol
Affiliation:1. University of Michigan, Ann Arbor, Michigan;2. Munson Medical Center, Traverse City, Michigan;3. Henry Ford Hospital, Detroit, Michigan;4. Beaumont Health System, Royal Oak, Michigan;6. McLaren Northern Michigan, Petoskey, Michigan;1. Université d’Orléans, CNRS, GREMI, UMR 7344, Orléans Cedex 2, 45067, France;2. Université de Tours, CNRS, INSA CVL, GREMAN, UMR 7347, IUT de Blois, 15 rue de la chocolaterie, CS 2903, Blois Cedex, 41029, France;3. Sorbonne Universités, UPMC Université Paris 06, INSP, UMR 7588, 75005, Paris, France;4. CNRS, INSP, UMR 7588, Paris, 75005, France;1. Royal College of Surgeons in Ireland, Dublin, Ireland;2. Graduate Entry Medical School, University of Limerick, Limerick, Ireland;3. UCD School of Medicine and Medical Science, National Maternity Hospital, Dublin, Ireland;4. National University of Ireland, Galway, Ireland;5. UCD Centre for Human Reproduction Coombe Women and Infants University Hospital, Dublin, Ireland;6. Royal Jubilee Maternity Hospital, Belfast, Ireland;7. University College Cork, Cork University Maternity Hospital, Cork, Ireland;8. Rotunda Hospital, Dublin, Ireland;9. Coombe Women and Infants University Hospital, Dublin, Ireland;1. Department of Electrical Engineering, Stanford University, United States;2. Department of Aeronautics and Astronautics, Stanford University, United States;1. Physics Department, Faculty of Science, Menoufia University, Shebin El-Koom, Menoufia 32511, Egypt;2. Mathematics and Computer Science Department, Faculty of Science, Menoufia University, Shebin El-Koom, Menoufia 32511, Egypt
Abstract:The concentrations of eighteen elements were determined by instrumental neutron activation analysis for samples of air particulates collected over a five month period in the Boston metropolitan area. This set of data is analyzed for underlying structure by the methods of common factor analysis and hierarchial aggregative cluster analysis. The data can be interpreted on the basis of six common factors accounting for 77.5% of the total variance in the system. These factors are attributed to various sources of particulate material by noting the dependence of the factors on the elements. The cluster analysis assists in the interpretation of the factors.
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