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Predicting traffic-related air pollution in Los Angeles using a distance decay regression selection strategy

Land use regression (LUR) has emerged as an effective means of estimating exposure to air pollution in epidemiological studies. We created the first LUR models of nitric oxide (NO), nitrogen dioxide (NO(2)) and nitrogen oxides (NO(x)) for the complex megalopolis of Los Angeles (LA), California. Two-...

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Autores principales: Su, Jason G., Jerrett, Michael, Beckerman, Bernardo, Wilhelm, Michelle, Ghosh, Jo Kay, Ritz, Beate
Formato: Artigo
Lenguaje:Inglês
Publicado: 2009
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC3656661/
https://ncbi.nlm.nih.gov/pubmed/19540476
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.envres.2009.06.001
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