Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United States
A number of models have been developed to estimate PM2. 5 exposure, including satellite-
based aerosol optical depth (AOD) models, land-use regression, or chemical transport …
based aerosol optical depth (AOD) models, land-use regression, or chemical transport …
[HTML][HTML] An ensemble-based model of PM2. 5 concentration across the contiguous United States with high spatiotemporal resolution
Various approaches have been proposed to model PM 2.5 in the recent decade, with
satellite-derived aerosol optical depth, land-use variables, chemical transport model …
satellite-derived aerosol optical depth, land-use variables, chemical transport model …
Assessing temporally and spatially resolved PM2. 5 exposures for epidemiological studies using satellite aerosol optical depth measurements
Land use regression (LUR) models provide good estimates of spatially resolved long-term
exposures, but are poor at capturing short term exposures. Satellite-derived Aerosol Optical …
exposures, but are poor at capturing short term exposures. Satellite-derived Aerosol Optical …
[HTML][HTML] Fusing Observational, Satellite Remote Sensing and Air Quality Model Simulated Data to Estimate Spatiotemporal Variations of PM2.5 Exposure in China
Estimating ground surface PM2. 5 with fine spatiotemporal resolution is a critical technique
for exposure assessments in epidemiological studies of its health risks. Previous studies …
for exposure assessments in epidemiological studies of its health risks. Previous studies …
Using High-Resolution Satellite Aerosol Optical Depth To Estimate Daily PM2.5 Geographical Distribution in Mexico City
Recent advances in estimating fine particle (PM2. 5) ambient concentrations use daily
satellite measurements of aerosol optical depth (AOD) for spatially and temporally resolved …
satellite measurements of aerosol optical depth (AOD) for spatially and temporally resolved …
A new hybrid spatio-temporal model for estimating daily multi-year PM2. 5 concentrations across northeastern USA using high resolution aerosol optical depth data
The use of satellite-based aerosol optical depth (AOD) to estimate fine particulate matter
(PM 2.5) for epidemiology studies has increased substantially over the past few years …
(PM 2.5) for epidemiology studies has increased substantially over the past few years …
High-Resolution Spatiotemporal Modeling for Ambient PM2.5 Exposure Assessment in China from 2013 to 2019
Exposure to fine particulate matter (PM2. 5) has become a major global health concern.
Although modeling exposure to PM2. 5 has been examined in China, accurate long-term …
Although modeling exposure to PM2. 5 has been examined in China, accurate long-term …
Incorporating Local Land Use Regression And Satellite Aerosol Optical Depth In A Hybrid Model Of Spatiotemporal PM2.5 Exposures In The Mid-Atlantic States
Satellite-derived aerosol optical depth (AOD) measurements have the potential to provide
spatiotemporally resolved predictions of both long and short-term exposures, but previous …
spatiotemporally resolved predictions of both long and short-term exposures, but previous …
A Hybrid Approach to Estimating National Scale Spatiotemporal Variability of PM2.5 in the Contiguous United States
Airborne fine particulate matter exhibits spatiotemporal variability at multiple scales, which
presents challenges to estimating exposures for health effects assessment. Here we created …
presents challenges to estimating exposures for health effects assessment. Here we created …
Satellite-Based Spatiotemporal Trends in PM2.5 Concentrations: China, 2004–2013
Background Three decades of rapid economic development is causing severe and
widespread PM2. 5 (particulate matter≤ 2.5 μm) pollution in China. However, research on …
widespread PM2. 5 (particulate matter≤ 2.5 μm) pollution in China. However, research on …