Opinion: How will advances in aerosol science inform our understanding of the health impacts of outdoor particulate pollution?
I El Haddad, D Vienneau… - Atmospheric …, 2024 - acp.copernicus.org
Air pollution, characterized by high levels of particulate matter (PM), poses the greatest
environmental threat to human health, causing an estimated 7 million deaths annually and …
environmental threat to human health, causing an estimated 7 million deaths annually and …
[HTML][HTML] Hazard Susceptibility Mapping with Machine and Deep Learning: A Literature Review
AJ Pugliese Viloria, A Folini, D Carrion, MA Brovelli - Remote Sensing, 2024 - mdpi.com
With the increase in climate-change-related hazardous events alongside population
concentration in urban centres, it is important to provide resilient cities with tools for …
concentration in urban centres, it is important to provide resilient cities with tools for …
Measuring environmental exposures in people's activity space: The need to account for travel modes and exposure decay
Background Accurately quantifying people's out-of-home environmental exposure is
important for identifying disease risk factors. Several activity space-based exposure …
important for identifying disease risk factors. Several activity space-based exposure …
[HTML][HTML] Estimating daily air temperature and pollution in Catalonia: A comprehensive spatiotemporal modelling of multiple exposures
C Milà, J Ballester, X Basagaña… - Environmental …, 2023 - Elsevier
Environmental epidemiology studies require models of multiple exposures to adjust for co-
exposure and explore interactions. We estimated spatiotemporal exposure to surface air …
exposure and explore interactions. We estimated spatiotemporal exposure to surface air …
An ensemble mixed spatial model in estimating long-term and diurnal variations of PM2. 5 in Taiwan
Meteorology, human activities, and other emission sources drive diurnal cyclic patterns of air
pollution. Previous studies mainly focused on the variation of PM 2.5 concentrations during …
pollution. Previous studies mainly focused on the variation of PM 2.5 concentrations during …
[HTML][HTML] Europe-wide high-spatial resolution air pollution models are improved by including traffic flow estimates on all roads
Y Shen, K de Hoogh, O Schmitz, J Gulliver… - Atmospheric …, 2024 - Elsevier
Road traffic is an important source of noise and air pollution. Modelling of air pollution and
noise therefore requires detailed information on annual average daily traffic (AADT) flows on …
noise therefore requires detailed information on annual average daily traffic (AADT) flows on …
Geographic uncertainties in external exposome studies: A multi-scale approach to reduce exposure misclassification
Background Many studies on environment-health associations have emphasized that the
selected buffer size (ie, the scale of the geographic context when exposures are assigned at …
selected buffer size (ie, the scale of the geographic context when exposures are assigned at …
[HTML][HTML] Improving traffic-related air pollution estimates by modelling minor road traffic volumes
Accurately estimating annual average daily traffic (AADT) on minor roads is essential for
assessing traffic-related air pollution (TRAP) exposure, particularly in areas where most …
assessing traffic-related air pollution (TRAP) exposure, particularly in areas where most …
[HTML][HTML] Development of land use regression, dispersion, and hybrid models for prediction of outdoor air pollution exposure in Barcelona
A Domínguez, P Dadvand, M Cirach, G Arévalo… - Science of the Total …, 2024 - Elsevier
Background Air pollution is the leading environmental risk factor for health. Assessing
outdoor air pollution exposure with detailed spatial and temporal variability in urban areas is …
outdoor air pollution exposure with detailed spatial and temporal variability in urban areas is …
Spatial and spatiotemporal modelling of intra-urban ultrafine particles: A comparison of linear, nonlinear, regularized, and machine learning methods
Background Machine learning methods are proposed to improve the predictions of ambient
air pollution, yet few studies have compared ultrafine particles (UFP) models across a broad …
air pollution, yet few studies have compared ultrafine particles (UFP) models across a broad …