Items where Author is "Pradas, Marta Cirach"

2016

de Hoogh, Kees and Gulliver, John and Donkelaar, Aaron van and Martin, Randall V. and Marshall, Julian D. and Bechle, Matthew J. and Cesaroni, Giulia and Pradas, Marta Cirach and Dedele, Audrius and Eeftens, Marloes and Forsberg, Bertil and Galassi, Claudia and Heinrich, Joachim and Hoffmann, Barbara and Jacquemin, Bénédicte and Katsouyanni, Klea and Korek, Michal and Künzli, Nino and Lindley, Sarah J. and Lepeule, Johanna and Meleux, Frederik and de Nazelle, Audrey and Nieuwenhuijsen, Mark and Nystad, Wenche and Raaschou-Nielsen, Ole and Peters, Annette and Peuch, Vincent-Henri and Rouil, Laurence and Udvardy, Orsolya and Slama, Rémy and Stempfelet, Morgane and Stephanou, Euripides G. and Tsai, Ming Y. and Yli-Tuomi, Tarja and Weinmayr, Gudrun and Brunekreef, Bert and Vienneau, Danielle and Hoek, Gerard. (2016) Development of West-European PM2.5 and NO2 land use regression models incorporating satellite-derived and chemical transport modelling data. Environmental research, 151. pp. 1-10.

2014

de Hoogh, Kees and Korek, Michal and Vienneau, Danielle and Keuken, Menno and Kukkonen, Jaakko and Nieuwenhuijsen, Mark J. and Badaloni, Chiara and Beelen, Rob and Bolignano, Andrea and Cesaroni, Giulia and Pradas, Marta Cirach and Cyrys, Josef and Douros, John and Eeftens, Marloes and Forastiere, Francesco and Forsberg, Bertil and Fuks, Kateryna and Gehring, Ulrike and Gryparis, Alexandros and Gulliver, John and Hansell, Anna L. and Hoffmann, Barbara and Johansson, Christer and Jonkers, Sander and Kangas, Leena and Katsouyanni, Klea and Künzli, Nino and Lanki, Timo and Memmesheimer, Michael and Moussiopoulos, Nicolas and Modig, Lars and Pershagen, Göran and Probst-Hensch, Nicole and Schindler, Christian and Schikowski, Tamara and Sugiri, Dorothee and Teixidó, Oriol and Tsai, Ming-Yi and Yli-Tuomi, Tarja and Brunekreef, Bert and Hoek, Gerard and Bellander, Tom. (2014) Comparing land use regression and dispersion modelling to assess residential exposure to ambient air pollution for epidemiological studies. Environment international : a journal of environmental science, risk and health, 73. pp. 382-392.