Development of Land Use Regression Models for PM2.5, PM2.5 Absorbance, PM10 and PMcoarse in 20 European Study Areas; Results of the ESCAPE Project

Marloes Eeftens, Rob Beelen, Kees de Hoogh, Tom Bellander, Giulia Cesaroni, Marta Cirach, Christophe Declercq, Audrius Dėdelė, Evi Dons, Audrey de Nazelle, Konstantina Dimakopoulou, Kirsten T. Eriksen, Grégoire Falq, Paul Fischer, Claudia Galassi, Regina Gražulevičienė, Joachim Heinrich, Barbara Hoffmann, Michael Jerrett, Dirk Keidel, Michal Korek, Timo Lanki, Sarah Lindley, Christian Madsen, Anna Mölter, Gizella Nádor, Mark Nieuwenhuijsen, Michael Nonnemacher, Xanthi Pedeli, Ole Raaschou‐Nielsen, Evridiki Patelarou, Ulrich Quaß, Andrea Ranzi, Christian Schindler, Morgane Stempfelet, Euripides G. Stephanou, Dorothea Sugiri, Ming‐Yi Tsai, Tarja Yli‐Tuomi, Mihály János Varró, Danielle Vienneau, Stephanie von Klot, Kathrin Wolf, Bert Brunekreef, Gerard Hoek

Environmental Science & Technology, 2012

Utrecht University, Imperial College London, Karolinska Institutet, Center for Research in Environmental Epidemiology, Municipal Institute for Medical Research, Hospital Del Mar, Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Institut de Veille Sanitaire, Vytautas Magnus University, Hasselt University, Flemish Institute for Technological Research, National and Kapodistrian University of Athens, Danish Cancer Society, National Institute for Public Health and the Environment, Azienda Ospedaliero Universitaria San Giovanni Battista, Heinrich Heine University Düsseldorf, Leibniz Institute of Environmental Medicine, University of California, Berkeley, Swiss Tropical and Public Health Institute, University of Basel, Finnish Institute for Health and Welfare, University of Manchester, Norwegian Institute of Public Health, Manchester Academic Health Science Centre, National Institutes of Health, Orszagos Kornyezetegeszsegugyi Intezet, University of Duisburg-Essen, University of Crete, Institut für Energie- und Umwelttechnik, Advanced Research Projects Agency - Energy, Agenzia Regionale Prevenzione e Ambiente della Regione Emilia-Romagna, University of Washington, University Medical Center Utrecht

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Abstract

This research paper explore the methodology and findings associated with Environmental Science & Technology. The study delves into the core aspects of the research field, providing significant data and citation impact. (Full abstract processing is available via the OpenAlex API).

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Development of Land Use Regression Models for PM<sub>2.5</sub>, PM<sub>2.5</sub> Absorbance, PM<sub>10</sub> and PM<sub>coarse</sub> in 20 European Study Areas; Results of the ESCAPE Project

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