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Performance of multi-city land use regression models for nitrogen dioxide and fine particles

, , , , , , , , , , and . Environmental health perspectives, 122 (8): 843 (2014)

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Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe--the ESCAPE project, , , , , , , , , and 1 other author(s). Atmospheric Environment, (2013)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, , , , , , , , , and 1 other author(s). Environmental science & technology, 46 (20): 11195--11205 (2012)Land use regression modelling estimating nitrogen oxides exposure in industrial south Durban, South Africa, , , , , and . Science of The Total Environment, (2018)Estimated long-term outdoor air pollution concentrations in a cohort study, , , , and . Atmospheric Environment, 41 (7): 1343 - 1358 (2007)Land use regression models for estimating individual NOx and NO2 exposures in a metropolis with a high density of traffic roads and population, , , , , , and . Science of the Total Environment, (2014)Satellite NO2 data improve national land use regression models for ambient NO2 in a small densely populated country, , , , , , and . Atmospheric Environment, (2015)A review of land-use regression models to assess spatial variation of outdoor air pollution, , , , , , and . Atmospheric environment, 42 (33): 7561--7578 (2008)Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe – The ESCAPE project, , , , , , , , , and 39 other author(s). Atmospheric Environment, (2013)Comparing land use regression and dispersion modelling to assess residential exposure to ambient air pollution for epidemiological studies, , , , , , , , , and 1 other author(s). Environment international, (2014)Performance of multi-city land use regression models for nitrogen dioxide and fine particles, , , , , , , , , and 1 other author(s). Environmental health perspectives, 122 (8): 843 (2014)