Global synthesis of two decades of research on improving PM2. 5 estimation models from remote sensing and data science perspectives
Identifying the proxy data and techniques that could yield greater PM 2.5 estimation
accuracy remains challenging due to the lack of general knowledge on the relative …
accuracy remains challenging due to the lack of general knowledge on the relative …
Perspectives on advancing multimodal learning in environmental science and engineering studies
W Liu, J Chen, H Wang, Z Fu… - Environmental …, 2024 - ACS Publications
The environment faces increasing anthropogenic impacts, resulting in a rapid increase in
environmental issues that undermine the natural capital essential for human wellbeing …
environmental issues that undermine the natural capital essential for human wellbeing …
Retrieval of sub-kilometer resolution solar irradiance from Fengyun-4A satellite using a region-adapted Heliosat-2 method
It is, now, universally accepted that modern solar resource assessment should proceed with
acquiring satellite-derived irradiance; the underlying problem is one of retrieval. The …
acquiring satellite-derived irradiance; the underlying problem is one of retrieval. The …
Urbanization amplified asymmetrical changes of rainfall and exacerbated drought: Analysis over five urban agglomerations in the Yangtze River Basin, China
Urbanization has become a prominent anthropogenic activity globally, resulting in the
substantial modification of temperature and rainfall in and around urban areas. Studies also …
substantial modification of temperature and rainfall in and around urban areas. Studies also …
Reconstructing MODIS aerosol optical depth and exploring dynamic and influential factors of AOD via random forest at the global scale
Aerosols pose a significant impact on the atmospheric environment and public health.
Aerosol optical depth (AOD) is one of the essential parameters for quantifying aerosols …
Aerosol optical depth (AOD) is one of the essential parameters for quantifying aerosols …
Spatiotemporal continuous estimates of daily 1 km PM from 2000 to present under the Tracking Air Pollution in China (TAP) framework
High spatial resolution PM 2.5 data covering a long time period are urgently needed to
support population exposure assessment and refined air quality management. In this study …
support population exposure assessment and refined air quality management. In this study …
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 …
Reconstructing 6-hourly PM2.5 datasets from 1960 to 2020 in China
Fine particulate matter (PM 2.5) has altered radiation balance on earth and raised
environmental and health risks for decades, but only been monitored widely since 2013 in …
environmental and health risks for decades, but only been monitored widely since 2013 in …
[HTML][HTML] Cooperative simultaneous inversion of satellite-based real-time PM2. 5 and ozone levels using an improved deep learning model with attention mechanism
Ground-level fine particulate matter (PM 2.5) and ozone (O 3) are air pollutants that can
pose severe health risks. Surface PM 2.5 and O 3 concentrations can be monitored from …
pose severe health risks. Surface PM 2.5 and O 3 concentrations can be monitored from …
[HTML][HTML] Joint estimation of PM2. 5 and O3 over China using a knowledge-informed neural network
China has currently entered a critical stage of coordinated control of fine particulate matter
(PM 2.5) and ozone (O 3), it is thus of tremendous value to accurately acquire high …
(PM 2.5) and ozone (O 3), it is thus of tremendous value to accurately acquire high …