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 Beijing-Tianjin-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 …
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 …
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 …
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 …
Quantitative Estimation of the Impacts of Precursor Emissions on Surface O3 and PM2.5 Collaborative Pollution in Three Typical Regions of China via Multi-Task …
The coordinated control of PM2. 5 and O3 pollution has become a critical factor restricting
the improvement of air quality in China. In this work, precursors and related influencing …
the improvement of air quality in China. In this work, precursors and related influencing …
Mapping the seamless hourly surface visibility in China: a real-time retrieval framework using a machine-learning-based stacked ensemble model
Surface visibility (SV), a key indicator of atmospheric transparency, is used widely in the
fields of environmental monitoring, transportation, and aviation. However, the sparse …
fields of environmental monitoring, transportation, and aviation. However, the sparse …
High-Resolution PM2.5 Concentrations Estimation Based on Stacked Ensemble Learning Model Using Multi-Source Satellite TOA Data
Q Fu, H Guo, X Gu, J Li, W Zhang, X Mi, Q Zhao… - Remote Sensing, 2023 - mdpi.com
Nepal has experienced severe fine particulate matter (PM2. 5) pollution in recent years.
However, few studies have focused on the distribution of PM2. 5 and its variations in Nepal …
However, few studies have focused on the distribution of PM2. 5 and its variations in Nepal …