Separating emission and meteorological contribution to PM2.5 trends over East China during 2000–2018
The contribution of meteorology and emissions to long-term PM 2.5 trends is critical for air
quality management but has not yet been fully analyzed. Here, we used a combination of …
quality management but has not yet been fully analyzed. Here, we used a combination of …
Research progress, challenges, and prospects of PM2.5 concentration estimation using satellite data
Satellite data are vital for understanding the large-scale spatial distribution of particulate
matter (PM2. 5) due to their low cost, wide coverage, and all-weather capability. Estimation …
matter (PM2. 5) due to their low cost, wide coverage, and all-weather capability. Estimation …
Particulate matter pollution and asthma mortality in China: a nationwide time-stratified case-crossover study from 2015 to 2020
Background A national and comprehensive evaluation is lacking on the relationship
between short-term exposure to submicron particulate matter (PM 1) pollution and asthma …
between short-term exposure to submicron particulate matter (PM 1) pollution and asthma …
Association of ambient particulate matter pollution of different sizes with in-hospital case fatality among stroke patients in China
Background and Objectives To characterize the association of ambient particulate matter
(PM) pollution of different sizes (PM≤ 1 µm in aerodynamic diameter [PM1], PM2. 5, and …
(PM) pollution of different sizes (PM≤ 1 µm in aerodynamic diameter [PM1], PM2. 5, and …
[HTML][HTML] Research progress and challenges of data-driven quantitative remote sensing
Quantitative remote sensing is a technique for quantitatively inferring or inverting earth
environmental variable from the original remote sensing observations, it is an important step …
environmental variable from the original remote sensing observations, it is an important step …
Evaluation of four meteorological reanalysis datasets for satellite-based PM2. 5 retrieval over China
C Zuo, J Chen, Y Zhang, Y Jiang, M Liu, H Liu… - Atmospheric …, 2023 - Elsevier
Meteorological reanalysis data is widely used for satellite-based retrieval of fine particulate
matter (PM 2.5); however, selecting appropriate data for specific regional applications …
matter (PM 2.5); however, selecting appropriate data for specific regional applications …
A novel hourly PM2. 5 concentration prediction model based on feature selection, training set screening, and mode decomposition-reorganization
W Sun, Z Xu - Sustainable Cities and Society, 2021 - Elsevier
Accurate prediction of PM2. 5 and other air pollutants concentration can provide early
warning information for sustainable urban pollution control, urban construction and travel …
warning information for sustainable urban pollution control, urban construction and travel …
Himawari-8 aerosol optical depth (AOD) retrieval using a deep neural network trained using AERONET observations
Spectral aerosol optical depth (AOD) estimation from satellite-measured top of atmosphere
(TOA) reflectances is challenging because of the complicated TOA-AOD relationship and a …
(TOA) reflectances is challenging because of the complicated TOA-AOD relationship and a …
Surface UV-assisted retrieval of spatially continuous surface ozone with high spatial transferability
With the rapid development of artificial intelligence, machine-learning has been used
broadly in surface ozone retrievals. However, the accuracies of current machine-learning …
broadly in surface ozone retrievals. However, the accuracies of current machine-learning …
A deep-neural-network-based aerosol optical depth (AOD) retrieval from Landsat-8 Top of Atmosphere Data
L She, HK Zhang, Z Bu, Y Shi, L Yang, J Zhao - Remote Sensing, 2022 - mdpi.com
The 30 m resolution Landsat data have been used for high resolution aerosol optical depth
(AOD) retrieval based on radiative transfer models. In this paper, a Landsat-8 AOD retrieval …
(AOD) retrieval based on radiative transfer models. In this paper, a Landsat-8 AOD retrieval …