Danielle Vienneau

Development of Land Use Regression Models for PM_2.5, PM_2.5 Absorbance, PM₁₀ and PM_coarse in 20 European Study Areas; Results of the ESCAPE Project

Marloes Eeftens, Rob Beelen, Kees de Hoogh et al. · Environmental Science & Technology · 2012 · 1.3K citations · Full text

Public Health, Environmental Sciences, Air Pollution +16

Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe – The ESCAPE project

Rob Beelen, Gerard Hoek, Danielle Vienneau et al. · Atmospheric Environment · 2013 · 1K citations · Full text

Public Health, Environmental Sciences, Land-use Planning +17

Spatial PM2.5, NO2, O3 and BC models for Western Europe – Evaluation of spatiotemporal stability

Kees de Hoogh, Jie Chen, John Gulliver et al. · Environment International · 2018 · 374 citations · Full text

Natural Sciences, Earth Sciences, Environmental Sciences +16

A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide

Jie Chen, Kees de Hoogh, John Gulliver et al. · Environment International · 2019 · 338 citations · Full text

Natural Sciences, Earth Sciences, Environmental Sciences +17

More than clean air and tranquillity: Residential green is independently associated with decreasing mortality

Danielle Vienneau, Kees de Hoogh, David Faeh et al. · Environment International · 2017 · 285 citations · Full text

Public Health, Environmental Sciences, Health Sciences +14