A Review on Predicting Ground PM2.5 Concentration Using Satellite Aerosol Optical Depth
This study reviewed the prediction of fine particulate matter (PM2. 5) from satellite aerosol
optical depth (AOD) and summarized the advantages and limitations of these predicting …
optical depth (AOD) and summarized the advantages and limitations of these predicting …
Ambient PM2.5 Human Health Effects—Findings in China and Research Directions
L Miller, X Xu - Atmosphere, 2018 - mdpi.com
Exposure to fine particulate matter (PM) results in adverse health outcomes. Although this is
a global concern, residents of China may be particularly vulnerable due to frequent severe …
a global concern, residents of China may be particularly vulnerable due to frequent severe …
Analysis of the adverse health effects of PM2. 5 from 2001 to 2017 in China and the role of urbanization in aggravating the health burden
In this study, the trend of PM 2.5 concentrations and its adverse health effects in China from
2001 to 2017 are estimated utilizing 1-km high-resolution annual satellite-retrieved PM 2.5 …
2001 to 2017 are estimated utilizing 1-km high-resolution annual satellite-retrieved PM 2.5 …
LGHAP: a Long-term Gap-free High-resolution Air Pollutants concentration dataset derived via tensor flow based multimodal data fusion
Develo** a big data analytics framework for generating the Long-term Gap-free High-
resolution Air Pollutant concentration dataset (abbreviated as LGHAP) is of great …
resolution Air Pollutant concentration dataset (abbreviated as LGHAP) is of great …
High-resolution satellite remote sensing of provincial PM2. 5 trends in China from 2001 to 2015
Given the vast territory of China, the long-term PM 2.5 trends may substantially differ among
the provinces. In this study, we aim to assess the provincial PM 2.5 trends in China during …
the provinces. In this study, we aim to assess the provincial PM 2.5 trends in China during …
Spatio-temporal variation and influence factors of PM2. 5 concentrations in China from 1998 to 2014
D Lu, J Xu, D Yang, J Zhao - Atmospheric Pollution Research, 2017 - Elsevier
Based on the remote sensing retrieval of PM 2.5 concentration data in the long-time series,
both the linear regression and grey system correlation analysis methods were employed to …
both the linear regression and grey system correlation analysis methods were employed to …
[HTML][HTML] Estimating the daily PM2. 5 concentration in the Bei**g-Tian**-Hebei region using a random forest model with a 0.01× 0.01 spatial resolution
C Zhao, Q Wang, J Ban, Z Liu, Y Zhang, R Ma… - Environment …, 2020 - Elsevier
High spatiotemporal resolution fine particulate matter (PM 2.5) simulations can provide
important exposure data for the assessment of long-term and short-term health effects …
important exposure data for the assessment of long-term and short-term health effects …
Estimation of daily PM10 concentrations in Italy (2006–2012) using finely resolved satellite data, land use variables and meteorology
Health effects of air pollution, especially particulate matter (PM), have been widely
investigated. However, most of the studies rely on few monitors located in urban areas for …
investigated. However, most of the studies rely on few monitors located in urban areas for …
Evaluation of MAIAC aerosol retrievals over China
Abstract Multiangle Implementation of Atmospheric Correction (MAIAC) is a new aerosol
algorithm developed to retrieve aerosol optical depth (AOD) over land using the time series …
algorithm developed to retrieve aerosol optical depth (AOD) over land using the time series …
Observation of PM2. 5 using a combination of satellite remote sensing and low-cost sensor network in Siberian urban areas with limited reference monitoring
The lack of reference ground-based PM 2.5 observation leads to large gaps in air quality
information, particularly in many areas of the develo** world. This study investigated a …
information, particularly in many areas of the develo** world. This study investigated a …