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A Review of Road Traffic-Derived Non-Exhaust Particles: Emissions, Physicochemical Characteristics, Health Risks, and Mitigation Measures.
Fussell JC, Franklin M, Green DC, Gustafsson M, Harrison RM, Hicks W, Kelly FJ, Kishta F, Miller MR, Mudway IS, Oroumiyeh F, Selley L, Wang M, Zhu Y. Fussell JC, et al. Among authors: wang m. Environ Sci Technol. 2022 Jun 7;56(11):6813-6835. doi: 10.1021/acs.est.2c01072. Epub 2022 May 25. Environ Sci Technol. 2022. PMID: 35612468 Free PMC article. Review.
Development of land use regression models for particle composition in twenty study areas in Europe.
de Hoogh K, Wang M, Adam M, Badaloni C, Beelen R, Birk M, Cesaroni G, Cirach M, Declercq C, Dėdelė A, Dons E, de Nazelle A, Eeftens M, Eriksen K, Eriksson C, Fischer P, Gražulevičienė R, Gryparis A, Hoffmann B, Jerrett M, Katsouyanni K, Iakovides M, Lanki T, Lindley S, Madsen C, Mölter A, Mosler G, Nádor G, Nieuwenhuijsen M, Pershagen G, Peters A, Phuleria H, Probst-Hensch N, Raaschou-Nielsen O, Quass U, Ranzi A, Stephanou E, Sugiri D, Schwarze P, Tsai MY, Yli-Tuomi T, Varró MJ, Vienneau D, Weinmayr G, Brunekreef B, Hoek G. de Hoogh K, et al. Among authors: wang m. Environ Sci Technol. 2013 Jun 4;47(11):5778-86. doi: 10.1021/es400156t. Epub 2013 May 20. Environ Sci Technol. 2013. PMID: 23651082
Evaluation of land use regression models for NO2 and particulate matter in 20 European study areas: the ESCAPE project.
Wang M, Beelen R, Basagana X, Becker T, Cesaroni G, de Hoogh K, Dedele A, Declercq C, Dimakopoulou K, Eeftens M, Forastiere F, Galassi C, Gražulevičienė R, Hoffmann B, Heinrich J, Iakovides M, Künzli N, Korek M, Lindley S, Mölter A, Mosler G, Madsen C, Nieuwenhuijsen M, Phuleria H, Pedeli X, Raaschou-Nielsen O, Ranzi A, Stephanou E, Sugiri D, Stempfelet M, Tsai MY, Lanki T, Udvardy O, Varró MJ, Wolf K, Weinmayr G, Yli-Tuomi T, Hoek G, Brunekreef B. Wang M, et al. Environ Sci Technol. 2013 May 7;47(9):4357-64. doi: 10.1021/es305129t. Epub 2013 Apr 16. Environ Sci Technol. 2013. PMID: 23534892
Development of land use regression models for elemental, organic carbon, PAH, and hopanes/steranes in 10 ESCAPE/TRANSPHORM European study areas.
Jedynska A, Hoek G, Wang M, Eeftens M, Cyrys J, Keuken M, Ampe C, Beelen R, Cesaroni G, Forastiere F, Cirach M, de Hoogh K, De Nazelle A, Nystad W, Declercq C, Eriksen KT, Dimakopoulou K, Lanki T, Meliefste K, Nieuwenhuijsen MJ, Yli-Tuomi T, Raaschou-Nielsen O, Brunekreef B, Kooter IM. Jedynska A, et al. Among authors: wang m. Environ Sci Technol. 2014 Dec 16;48(24):14435-44. doi: 10.1021/es502568z. Epub 2014 Nov 6. Environ Sci Technol. 2014. PMID: 25317817
Spatial Variation and Land Use Regression Modeling of the Oxidative Potential of Fine Particles.
Yang A, Wang M, Eeftens M, Beelen R, Dons E, Leseman DL, Brunekreef B, Cassee FR, Janssen NA, Hoek G. Yang A, et al. Among authors: wang m. Environ Health Perspect. 2015 Nov;123(11):1187-92. doi: 10.1289/ehp.1408916. Epub 2015 Apr 3. Environ Health Perspect. 2015. PMID: 25840153 Free PMC article.
The moderate correlations among the predictions of OP(DTT), OP(ESR), and PM2.5 models offer the potential to investigate which metric is the strongest predictor of health effects. CITATION: Yang A, Wang M, Eeftens M, Beelen R, Dons E, Leseman DL, Brunekreef B …
The moderate correlations among the predictions of OP(DTT), OP(ESR), and PM2.5 models offer the potential to investigate which metric is the …
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