[HTML][HTML] Satellite remote sensing of atmospheric particulate matter mass concentration: Advances, challenges, and perspectives
Mapping the mass concentration of near-surface atmospheric particulate matter (PM) using
satellite observations has become a popular research niche, leading to the development of …
satellite observations has become a popular research niche, leading to the development of …
PM₂. ₅ monitoring: use information abundance measurement and wide and deep learning
K Gu, H Liu, Z Xia, J Qiao, W Lin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article devises a photograph-based monitoring model to estimate the real-time PM 2.5
concentrations, overcoming currently popular electrochemical sensor-based PM 2.5 …
concentrations, overcoming currently popular electrochemical sensor-based PM 2.5 …
Development of Europe-wide models for particle elemental composition using supervised linear regression and random forest
J Chen, K De Hoogh, J Gulliver… - … science & technology, 2020 - ACS Publications
We developed Europe-wide models of long-term exposure to eight elements (copper, iron,
potassium, nickel, sulfur, silicon, vanadium, and zinc) in particulate matter with diameter< 2.5 …
potassium, nickel, sulfur, silicon, vanadium, and zinc) in particulate matter with diameter< 2.5 …
Satellite Remote Sensing for Estimating PM2.5 and Its Components
Purpose of Review PM 2.5 satellite remote sensing is the most powerful way to acquire the
PM 2.5 distribution and variation at a large scale with high resolution. Thus, PM 2.5 remote …
PM 2.5 distribution and variation at a large scale with high resolution. Thus, PM 2.5 remote …
[HTML][HTML] A multi-city air pollution population exposure study: Combined use of chemical-transport and random-Forest models with dynamic population data
Cities are severely affected by air pollution. Local emissions and urban structures can
produce large spatial heterogeneities. We aim to improve the estimation of NO 2, O 3, PM …
produce large spatial heterogeneities. We aim to improve the estimation of NO 2, O 3, PM …
Estimating monthly PM2. 5 concentrations from satellite remote sensing data, meteorological variables, and land use data using ensemble statistical modeling and a …
CC Chen, YR Wang, HY Yeh, TH Lin, CS Huang… - Environmental …, 2021 - Elsevier
Abstract Fine particulate matter (PM 2.5) is associated with various adverse health outcomes
and poses serious concerns for public health. However, ground monitoring stations for PM …
and poses serious concerns for public health. However, ground monitoring stations for PM …
Random forest models for PM2. 5 speciation concentrations using MISR fractional AODs
It is increasingly recognized that various chemical components of PM 2.5 might have
differential toxicities to human health, although such studies are hindered by the sparse or …
differential toxicities to human health, although such studies are hindered by the sparse or …
Application of geostationary satellite and high-resolution meteorology data in estimating hourly PM2. 5 levels during the Camp Fire episode in California
Wildland fire smoke contains large amounts of PM 2.5 that can traverse tens to hundreds of
kilometers, resulting in significant deterioration of air quality and excess mortality and …
kilometers, resulting in significant deterioration of air quality and excess mortality and …
Spatiotemporal empirical analysis of particulate matter PM2. 5 pollution and air quality index (AQI) trends in Africa using MERRA-2 reanalysis datasets (1980–2021)
YO Ouma, A Keitsile, L Lottering, B Nkwae… - Science of The Total …, 2024 - Elsevier
In this study, the spatial-temporal trends of PM 2.5 pollution were analyzed for subregions in
Africa and the entire continent from 1980 to 2021. The distributions and trends of PM 2.5 …
Africa and the entire continent from 1980 to 2021. The distributions and trends of PM 2.5 …
Fine particulate matter pollution in North China: Seasonal-spatial variations, source apportionment, sector and regional transport contributions
X Liu, X Bai, H Tian, K Wang, S Hua, H Liu, S Liu… - Environmental …, 2020 - Elsevier
Large areas of mainland China have been suffering frequently from heavy haze pollution
during the past years, which feature high concentrations of fine particulate matter (PM 2.5 …
during the past years, which feature high concentrations of fine particulate matter (PM 2.5 …