{"id":4326,"date":"2020-05-28T15:44:00","date_gmt":"2020-05-28T15:44:00","guid":{"rendered":"https:\/\/canue.ca\/?p=4326"},"modified":"2020-05-28T15:44:00","modified_gmt":"2020-05-28T15:44:00","slug":"may-28-2020","status":"publish","type":"post","link":"https:\/\/canue.ca\/fr\/may-28-2020\/","title":{"rendered":"May 28 | 2020"},"content":{"rendered":"

Global Land Use Regression Model for Nitrogen Dioxide Air Pollution.<\/strong><\/h3>\n

Andrew Larkin, Jeffrey A. Geddes, Randall V. Martin, Qingyang Xiao, Yang Liu, Julian D. Marshall, Michael Brauer, and Perry Hystad.<\/strong><\/p>\n

Environ. Sci. Technol.<\/em> 2017, 51, 12. DOI: 10.1021\/acs.est.7b01148<\/a>.<\/p>\n

Abstract<\/strong><\/p>\n

Nitrogen dioxide is a common air pollutant with growing evidence of health impacts independent of other common pollutants such as ozone and particulate matter. However, the worldwide distribution of NO2<\/sub> exposure and associated impacts on health is still largely uncertain. To advance global exposure estimates we created a global nitrogen dioxide (NO2<\/sub>) land use regression model for 2011 using annual measurements from 5,220 air monitors in 58 countries. The model captured 54% of global NO2<\/sub> variation, with a mean absolute error of 3.7 ppb. Regional performance varied from R2<\/sup> = 0.42 (Africa) to 0.67 (South America). Repeated 10% cross-validation using bootstrap sampling (n = 10,000) demonstrated a robust performance with respect to air monitor sampling in North America, Europe, and Asia (adjusted R2<\/sup> within 2%) but not for Africa and Oceania (adjusted R2<\/sup> within 11%) where NO2<\/sub> monitoring data are sparse. The final model included 10 variables that captured both between and within-city spatial gradients in NO2<\/sub> concentrations. Variable contributions differed between continental regions, but major roads within 100 m and satellite-derived NO2<\/sub> were consistently the strongest predictors. The resulting model can be used for global risk assessments and health studies, particularly in countries without existing NO2<\/sub> monitoring data or models.<\/p>\n","protected":false},"excerpt":{"rendered":"

Global Land Use Regression Model for Nitrogen Dioxide Air Pollution.<\/p>\n

Andrew Larkin, Jeffrey A. Geddes, Randall V. Martin, Qingyang Xiao, Yang Liu, Julian D. Marshall, Michael Brauer, and Perry Hystad.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-4326","post","type-post","status-publish","format-standard","hentry","category-article-de-la-semaine"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t