Strategies for using satellite-based products in modeling PM2. 5 and short-term pollution episodes
M Sorek-Hamer, R Chatfield, Y Liu - Environment International, 2020 - Elsevier
Short-term air pollution episodes motivate improved understanding of the association
between air pollution and acute morbidity and mortality episodes, and triggers required …
between air pollution and acute morbidity and mortality episodes, and triggers required …
[HTML][HTML] Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression
Previous European land-use regression (LUR) models assumed fixed linear relationships
between air pollution concentrations and predictors such as traffic and land use. We …
between air pollution concentrations and predictors such as traffic and land use. We …
Estimation of High-Resolution PM2.5 over the Indo-Gangetic Plain by Fusion of Satellite Data, Meteorology, and Land Use Variables
A Mhawish, T Banerjee, M Sorek-Hamer… - Environmental …, 2020 - ACS Publications
Very high spatially resolved satellite-derived ground-level concentrations of particulate
matter with an aerodynamic diameter of less than 2.5 μm (PM2. 5) have multiple potential …
matter with an aerodynamic diameter of less than 2.5 μm (PM2. 5) have multiple potential …
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 …
The impact of different aerosol layering conditions on the high-resolution MODIS/MAIAC AOD retrieval bias: The uncertainty analysis
I Rogozovsky, K Ohneiser, A Lyapustin… - Atmospheric …, 2023 - Elsevier
Abstract The Eastern Mediterranean/Middle East (EMME) region belongs to one of the most
polluted and vulnerable to climate change related areas in the world. To monitor these …
polluted and vulnerable to climate change related areas in the world. To monitor these …
Impact of environmental attributes on the uncertainty in MAIAC/MODIS AOD retrievals: A comparative analysis
S Falah, A Mhawish, M Sorek-Hamer… - Atmospheric …, 2021 - Elsevier
This work examines the impact of different environmental attributes on the uncertainty in
satellite-based Aerosol Optical Depth (AOD) retrieval against the benchmark Aerosol …
satellite-based Aerosol Optical Depth (AOD) retrieval against the benchmark Aerosol …
Estimation of ground-level particulate matter concentrations based on synergistic use of MODIS, MERRA-2 and AERONET AODs over a coastal site in the Eastern …
Satellite-derived aerosol optical depth (AOD) products are widely used to estimate the
spatial and temporal characteristics of ground-level particulate matters (PM). Satellite-based …
spatial and temporal characteristics of ground-level particulate matters (PM). Satellite-based …
Accounting for the aerosol type and additional satellite-borne aerosol products improves the prediction of PM2. 5 concentrations
Abstract Fine airborne particles (diameter< 2.5 μm; PM 2.5) are recognized as a major threat
to human health due to their physicochemical properties: composition, size, shape, etc …
to human health due to their physicochemical properties: composition, size, shape, etc …
Estimation of particulate matter concentrations in Türkiye using a random forest model based on satellite AOD retrievals
G Tuna Tuygun, T Elbir - Stochastic Environmental Research and Risk …, 2023 - Springer
This study estimates intra-daily PM10 concentrations at 213 inland and coastal monitoring
sites in Türkiye from 2008 to 2019 using satellite-based aerosol optical depth (AOD) from the …
sites in Türkiye from 2008 to 2019 using satellite-based aerosol optical depth (AOD) from the …
Gaussian Markov random fields improve ensemble predictions of daily 1 km PM2. 5 and PM10 across France
Understanding the health impacts of particulate matter (PM) requires spatiotemporally
continuous exposure estimates. We developed a multi-stage ensemble model that estimates …
continuous exposure estimates. We developed a multi-stage ensemble model that estimates …