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A principal component analysis of sulfur concentrations in the western United States
Affiliation:1. Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran;2. Students’ Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran;3. Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran;1. Inserm U930, Tours, France;2. Université François-Rabelais, Tours, France;3. Laboratoire de Biochimie et Biologie Moléculaire, CHRU de Tours, Tours, France;4. Institute of Computing Science, Poznań University of Technology, 60-965 Poznań, Poland;5. Systems Research Institute, Polish Academy of Sciences, 01-447 Warsaw, Poland;6. Université François-Rabelais de Tours, CNRS, LI EA 6300, OC ERL CNRS 6305, Tours, France;7. PPF, Université François-Rabelais, Tours, France;8. Fédération des Maladies du Système Nerveux, Centre Référent Maladie Rare SLA, Hôpital de la Pitié-Salpétrière, Paris, France;9. Service de Neurologie, CHRU de Lille, Lille, France;10. Centre SLA, Service de Neurologie, CHRU Bretonneau, Tours, France;1. Department of Chemical and Biological Engineering, Sookmyung Women’s University, 100 Cheongpa-ro 47 gil, Yongsan-gu, Seoul 04310, Republic of Korea;2. Department of Chemistry & Green-Nano Materials Research Center, Kyungpook National University, Daegu 41566, Republic of Korea;3. Department of Mechanical Systems Engineering, Sookmyung Women’s University, Seoul 04310, Republic of Korea;4. Institute of Advanced Materials & Systems, Sookmyung Women’s University, 100 Cheongpa-ro 47 gil, Yongsan-gu, Seoul 04310, Republic of Korea;5. Department of Applied Physics, College of Engineering, Sookmyung Women’s University, Seoul 04310, Republic of Korea;6. Corporation R&D, Research Park, LG Chem, LG Science Park, 30, Magokjungang-10-Ro, Gangseo-Gu, Seoul, Republic of Korea;1. Faculty of Forestry and Wood Sciences, Excellent Team for Mitigation, Czech University of Life Sciences Prague, Czech Republic;2. Institute of Forest Ecology, Slovak Academy of Sciences, Zvolen, Slovakia;3. Institute of Forest Entomology, Forest Pathology and Forest Protection, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences, BOKU, Vienna, Austria
Abstract:Data from a 40 site network of air samplers in the western United States were used in a principal components analysis to obtain spatial patterns of the inter-site correlations of sulfur concentrations. After rotation of the initial eigenvectors, two large regions were identified which accounted for 33.1% of the variance in the data. Three other smaller regions were identified which also had significant variance. The first eigenvector included all sites in the southern part of the network and was attributed to copper smelter emissions in Arizona and New Mexico. The second eigenvector included sites in the northern great plains and was attributed to episodic incursions of sulfur from the east. The third, fourth and fifth eigenvectors were attributed to locally important conditions.
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