[HTML][HTML] A comprehensive review of the development of land use regression approaches for modeling spatiotemporal variations of ambient air pollution: A perspective …
X Ma, B Zou, J Deng, J Gao, I Longley, S Xiao… - Environment …, 2024 - Elsevier
Land use regression (LUR) models are widely used in epidemiological and environmental
studies to estimate humans' exposure to air pollution within urban areas. However, the early …
studies to estimate humans' exposure to air pollution within urban areas. However, the early …
[HTML][HTML] Predicting spatial variations in annual average outdoor ultrafine particle concentrations in Montreal and Toronto, Canada: Integrating land use regression and …
Background Concentrations of outdoor ultrafine particles (UFP;< 0.1 µm) and black carbon
(BC) can vary greatly within cities and long-term exposures to these pollutants have been …
(BC) can vary greatly within cities and long-term exposures to these pollutants have been …
[HTML][HTML] Combining Google traffic map with deep learning model to predict street-level traffic-related air pollutants in a complex urban environment
Background Traffic-related air pollution (TRAP) is a major contributor to urban pollution and
varies sharply at the street level, posing a challenge for air quality modeling. Traditional land …
varies sharply at the street level, posing a challenge for air quality modeling. Traditional land …
Capturing exposure disparities with chemical transport models: evaluating the suitability of downscaling using land use regression
High resolution exposure surfaces are essential to capture disparities in exposure to traffic-
related air pollution in urban areas. In this study, we develop an approach to downscale …
related air pollution in urban areas. In this study, we develop an approach to downscale …
Predicting within-city spatial variations in outdoor ultrafine particle and black carbon concentrations in Bucaramanga, Colombia: a hybrid approach using open-source …
Outdoor ultrafine particles (UFP,< 0.1 μm) and black carbon (BC) vary greatly within cities
and may have adverse impacts on human health. In this study, we used a hybrid approach …
and may have adverse impacts on human health. In this study, we used a hybrid approach …
[HTML][HTML] Long-Term Exposure to Outdoor Ultrafine Particles and Black Carbon and Effects on Mortality in Montreal and Toronto, Canada
BACKGROUND There remain important limitations and challenges when estimating long-
term air pollution exposure for use in epidemiological studies. In 2019, the Health Effects …
term air pollution exposure for use in epidemiological studies. In 2019, the Health Effects …
Hyperlocal Air Pollution Mapping: A Scalable Transfer Learning LUR Approach for Mobile Monitoring
Addressing the challenge of mapping hyperlocal air pollution in areas without local
monitoring, we evaluated unsupervised transfer learning-based land-use regression (LUR) …
monitoring, we evaluated unsupervised transfer learning-based land-use regression (LUR) …
[HTML][HTML] Ambient ultrafine particle concentrations and incidence of childhood cancers
Background Ambient air pollution has been associated with childhood cancer. However,
little is known about the possible impact of ambient ultrafine particles (< 0.1 μm)(UFPs) on …
little is known about the possible impact of ambient ultrafine particles (< 0.1 μm)(UFPs) on …
Development of Spatio-Temporal Land Use Regression Models for Fine Particulate Matter and Wood-Burning Tracers in Temuco, Chile
Biomass burning is common in much of the world, and in some areas, residential wood-
burning has increased. However, air pollution resulting from biomass burning is an …
burning has increased. However, air pollution resulting from biomass burning is an …
Development and transferability of ultrafine particle land use regression models in London
Z Yang, A Freni-Sterrantino, GW Fuller… - Science of the Total …, 2020 - Elsevier
Due to a lack of routine monitoring, bespoke measurements are required to develop ultrafine
particle (UFP) land use regression (LUR) models, which is especially challenging in …
particle (UFP) land use regression (LUR) models, which is especially challenging in …