Airborne, vehicle-derived Fe-bearing nanoparticles in the urban environment: a review
Airborne particulate matter poses a serious threat to human health. Exposure to nanosized
(< 0.1 μm), vehicle-derived particulates may be hazardous due to their bioreactivity, their …
(< 0.1 μm), vehicle-derived particulates may be hazardous due to their bioreactivity, their …
Ambient ultrafine particle (PM0. 1): Sources, characteristics, measurements and exposure implications on human health
SFI Abdillah, YF Wang - Environmental Research, 2023 - Elsevier
The problem of ultrafine particles (UFPs; PM 0.1) has been prevalent since the past
decades. In addition to become easily inhaled by human respiratory system due to their …
decades. In addition to become easily inhaled by human respiratory system due to their …
[HTML][HTML] A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen …
J Chen, K de Hoogh, J Gulliver, B Hoffmann… - Environment …, 2019 - Elsevier
Empirical spatial air pollution models have been applied extensively to assess exposure in
epidemiological studies with increasingly sophisticated and complex statistical algorithms …
epidemiological studies with increasingly sophisticated and complex statistical algorithms …
[HTML][HTML] Comparison of Machine Learning and Land Use Regression for fine scale spatiotemporal estimation of ambient air pollution: Modeling ozone concentrations …
Abstract Background Spatial linear Land-Use Regression (LUR) is commonly used for long-
term modeling of air pollution in support of exposure and epidemiological assessments …
term modeling of air pollution in support of exposure and epidemiological assessments …
Using a land use regression model with machine learning to estimate ground level PM2. 5
Ambient fine particulate matter (PM 2.5) has been ranked as the sixth leading risk factor
globally for death and disability. Modelling methods based on having access to a limited …
globally for death and disability. Modelling methods based on having access to a limited …
[HTML][HTML] Map** urban air quality using mobile sampling with low-cost sensors and machine learning in Seoul, South Korea
Recent studies have demonstrated that mobile sampling can improve the spatial granularity
of land use regression (LUR) models. Mobile sampling campaigns deploying low-cost (< …
of land use regression (LUR) models. Mobile sampling campaigns deploying low-cost (< …
Machine learning algorithms for smart data analysis in internet of things environment: taxonomies and research trends
Machine learning techniques will contribution towards making Internet of Things (IoT)
symmetric applications among the most significant sources of new data in the future. In this …
symmetric applications among the most significant sources of new data in the future. In this …
Potential of machine learning for prediction of traffic related air pollution
Land use regression (LUR) has been extensively used to capture the spatial distribution of
air pollution. However, regional background and non-linear relationships can be …
air pollution. However, regional background and non-linear relationships can be …
Characterization of annual average traffic-related air pollution concentrations in the Greater Seattle Area from a year-long mobile monitoring campaign
MN Blanco, A Gassett, T Gould… - … science & technology, 2022 - ACS Publications
Growing evidence links traffic-related air pollution (TRAP) to adverse health effects. We
designed an innovative and extensive mobile monitoring campaign to characterize TRAP …
designed an innovative and extensive mobile monitoring campaign to characterize TRAP …
Methods for assessing long-term exposures to outdoor air pollutants
G Hoek - Current environmental health reports, 2017 - Springer
Abstract Purpose of Review Epidemiological studies of health effects of long-term exposure
to outdoor air pollution rely on different exposure assessment methods. This review …
to outdoor air pollution rely on different exposure assessment methods. This review …