The application of land use regression model to investigate spatiotemporal variations of PM2.5 in Guangzhou, China: Implications for the public health benefits of PM2.5 reduction

High secondary aerosol contribution to particulate pollution during haze events in China

Ru‐Jin Huang, Yanlin Zhang, Carlo Bozzetti et al. · Nature · 2014 · 4.8K citations

Natural Sciences, Environmental Sciences, Meteorology +14

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

Satellite-Based Spatiotemporal Trends in PM _2.5 Concentrations: China, 2004–2013

Zongwei Ma, Xuefei Hu, A. M. Sayer et al. · Environmental Health Perspectives · 2015 · 697 citations · Full text

Natural Sciences, Earth Sciences, Environmental Sciences +17

Mapping urban air pollution using GIS: a regression-based approach

David Briggs, Susan Collins, Paul Elliott et al. · International Journal of Geographical Information Systems · 1997 · 659 citations · Full text

Computing, Environmental Sciences, Geoinformatics +17