[HTML][HTML] Influence of meteorological conditions on PM2. 5 concentrations across China: A review of methodology and mechanism
Air pollution over China has attracted wide interest from public and academic community.
PM 2.5 is the primary air pollutant across China. Quantifying interactions between …
PM 2.5 is the primary air pollutant across China. Quantifying interactions between …
A review of current air quality indexes and improvements under the multi-contaminant air pollution exposure
The air quality is one of the major concerns in the urban environment due to the rapid
changes in pollutant emissions driven by complex and intensive human activities. Therefore …
changes in pollutant emissions driven by complex and intensive human activities. Therefore …
[HTML][HTML] MODIS collection 6 MAIAC algorithm
A Lyapustin, Y Wang, S Korkin… - Atmospheric …, 2018 - amt.copernicus.org
This paper describes the latest version of the algorithm MAIAC used for processing the
MODIS Collection 6 data record. Since initial publication in 2011–2012, MAIAC has …
MODIS Collection 6 data record. Since initial publication in 2011–2012, MAIAC has …
[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 …
[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] PM10 and PM2. 5 real-time prediction models using an interpolated convolutional neural network
S Chae, J Shin, S Kwon, S Lee, S Kang, D Lee - Scientific Reports, 2021 - nature.com
In this paper, we propose a real-time prediction model that can respond to particulate
matters (PM) in the air, which are an indication of poor air quality. The model applies …
matters (PM) in the air, which are an indication of poor air quality. The model applies …
Prenatal air pollution exposure and neurodevelopment: a review and blueprint for a harmonized approach within ECHO
Background Air pollution exposure is ubiquitous with demonstrated effects on morbidity and
mortality. A growing literature suggests that prenatal air pollution exposure impacts …
mortality. A growing literature suggests that prenatal air pollution exposure impacts …
Advancing methodologies for applying machine learning and evaluating spatiotemporal models of fine particulate matter (PM2. 5) using satellite data over large …
Reconstructing the distribution of fine particulate matter (PM 2.5) in space and time, even far
from ground monitoring sites, is an important exposure science contribution to epidemiologic …
from ground monitoring sites, is an important exposure science contribution to epidemiologic …
Estimating Daily PM2.5 and PM10 over Italy Using an Ensemble Model
Spatiotemporally resolved particulate matter (PM) estimates are essential for reconstructing
long and short-term exposures in epidemiological research. Improved estimates of PM2. 5 …
long and short-term exposures in epidemiological research. Improved estimates of PM2. 5 …
[HTML][HTML] Relationship of long-term air pollution exposure with asthma and rhinitis in Italy: an innovative multipollutant approach
Background air pollution is a complex mixture; novel multipollutant approaches could help
understanding the health effects of multiple concomitant exposures to air pollutants. Aim to …
understanding the health effects of multiple concomitant exposures to air pollutants. Aim to …