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 …
Full-coverage estimation of PM2. 5 in the Bei**g-Tian**-Hebei region by using a two-stage model
Q Zeng, Y Li, J Tao, M Fan, L Chen, L Wang… - Atmospheric …, 2023 - Elsevier
The accurate estimation of fine particulate matter (PM 2.5) is significant for both
environmental protection and health assessment. However, the sparsity of monitoring …
environmental protection and health assessment. However, the sparsity of monitoring …
Spatial weighting EMD-LSTM based approach for short-term PM2. 5 prediction research
Q Yu, H Yuan, Z Liu, G Xu - Atmospheric Pollution Research, 2024 - Elsevier
Given the significant health and environmental risks posed by atmospheric PM 2. 5 pollution,
accurately predicting its concentration changes is especially important. Current models fall …
accurately predicting its concentration changes is especially important. Current models fall …
Forecasting hourly PM2. 5 concentration with an optimized LSTM model
HD Tran, HY Huang, JY Yu, SH Wang - Atmospheric Environment, 2023 - Elsevier
Abstract Machine learning has become a powerful tool in air quality assessment which can
provide timely and predictable information, alert the public, and take timely measures to …
provide timely and predictable information, alert the public, and take timely measures to …
A hybrid PM2. 5 interval concentration prediction framework based on multi-factor interval decomposition reconstruction strategy and attention mechanism
J Zhu, L Niu, P Zheng, H Chen, J Liu - Atmospheric Environment, 2024 - Elsevier
With the acceleration of urban modernization, the temporal variability in air pollution has
become increasingly significant. Predicting average daily pollutant concentrations no longer …
become increasingly significant. Predicting average daily pollutant concentrations no longer …
Evaluation of different machine learning approaches for predicting high concentration episodes of ground-level ozone: A case study in Catalonia, Spain
Abstract Ground-level ozone (O 3) is a pollutant with a great impact on human health and
the environment. As a secondary air contaminant of photochemical origin, those areas with …
the environment. As a secondary air contaminant of photochemical origin, those areas with …
Unveiling global land fine-and coarse-mode aerosol dynamics from 2005 to 2020 using enhanced satellite-based monthly inversion data
Accurate fine-mode and coarse-mode aerosol knowledge is crucial for understanding their
impacts on the climate and Earth's ecosystems. However, current satellite-based Fine-Mode …
impacts on the climate and Earth's ecosystems. However, current satellite-based Fine-Mode …
Estimating Daily Concentrations of Near-Surface CO, NO2, and O3 Simultaneously Over China Based on Spatiotemporal Multi-Task Transformer Model
Q Zeng, L Wang, H Zhu, S Liu, C Wang, L Chen… - Atmospheric …, 2024 - Elsevier
Accurate and efficient estimation of near-surface air pollutant concentrations holds
significant practical importance. Current models for estimating near-surface concentrations …
significant practical importance. Current models for estimating near-surface concentrations …
Diurnal hourly near-surface ozone concentration derived from geostationary satellite in China
Y Zhang, L Zang, J Song, J Yang, Y Yang… - Science of The Total …, 2024 - Elsevier
Near-surface O 3 is a harmful atmospheric pollutant and a key component of urban
photochemical pollution. The availability of satellite ozone concentration products is …
photochemical pollution. The availability of satellite ozone concentration products is …
Satellite or ground-based measurements for air pollutants (PM2.5, PM10, SO2, NO2, O3) data and their health hazards: which is most accurate and why?
Air pollution is growing at alarming rates on regional and global levels, with significant
consequences for human health, ecosystems, and change in climatic conditions. The …
consequences for human health, ecosystems, and change in climatic conditions. The …