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Urban and transport planning, environmental exposures and health-new concepts, methods and tools to improve health in cities
MJ Nieuwenhuijsen - Environmental health, 2016 - Springer
Background The majority of people live in cities and urbanization is continuing worldwide.
Cities have long been known to be society's predominant engine of innovation and wealth …
Cities have long been known to be society's predominant engine of innovation and wealth …
[HTML][HTML] Impact of long-term exposure to ambient air pollution on the incidence of chronic obstructive pulmonary disease: a systematic review and meta-analysis
Background: It is well known that air pollution causes respiratory morbidity and mortality by
inducing airway inflammation. However, whether long-term exposure to air pollution is …
inducing airway inflammation. However, whether long-term exposure to air pollution is …
A machine learning method to estimate PM2. 5 concentrations across China with remote sensing, meteorological and land use information
Background Machine learning algorithms have very high predictive ability. However, no
study has used machine learning to estimate historical concentrations of PM 2.5 (particulate …
study has used machine learning to estimate historical concentrations of PM 2.5 (particulate …
[HTML][HTML] Estimation of daily PM10 and PM2. 5 concentrations in Italy, 2013–2015, using a spatiotemporal land-use random-forest model
M Stafoggia, T Bellander, S Bucci, M Davoli… - Environment …, 2019 - Elsevier
Particulate matter (PM) air pollution is one of the major causes of death worldwide, with
demonstrated adverse effects from both short-term and long-term exposure. Most of the …
demonstrated adverse effects from both short-term and long-term exposure. Most of the …
Estimating PM2.5 Concentrations in the Conterminous United States Using the Random Forest Approach
To estimate PM2. 5 concentrations, many parametric regression models have been
developed, while nonparametric machine learning algorithms are used less often and …
developed, while nonparametric machine learning algorithms are used less often and …
An Ensemble Machine-Learning Model To Predict Historical PM2.5 Concentrations in China from Satellite Data
Q ** of daily high-resolution ground PM2. 5 in China via space-time regression modeling
The use of satellite-retrieved aerosol optical depth (AOD) data and statistical modeling
provides a promising approach to estimating PM 2.5 concentrations for a large region …
provides a promising approach to estimating PM 2.5 concentrations for a large region …
Full-coverage high-resolution daily PM2. 5 estimation using MAIAC AOD in the Yangtze River Delta of China
Satellite aerosol optical depth (AOD) has been used to assess population exposure to fine
particulate matter (PM 2.5). The emerging high-resolution satellite aerosol product, Multi …
particulate matter (PM 2.5). The emerging high-resolution satellite aerosol product, Multi …
Estimating Ground-Level PM2.5 in China Using Satellite Remote Sensing
Estimating ground-level PM2. 5 from satellite-derived aerosol optical depth (AOD) using a
spatial statistical model is a promising new method to evaluate the spatial and temporal …
spatial statistical model is a promising new method to evaluate the spatial and temporal …