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[HTML][HTML] Air pollution prediction using machine learning techniques–an approach to replace existing monitoring stations with virtual monitoring stations
A Samad, S Garuda, U Vogt, B Yang - Atmospheric Environment, 2023 - Elsevier
Air pollution in the modern world is a matter of grave concern. Due to rapid expansion in
commercial social, and economic aspects, the pollutant concentrations in different parts of …
commercial social, and economic aspects, the pollutant concentrations in different parts of …
Predicting of Daily PM2.5 Concentration Employing Wavelet Artificial Neural Networks Based on Meteorological Elements in Shanghai, China
Q Guo, Z He, Z Wang - Toxics, 2023 - mdpi.com
Anthropogenic sources of fine particulate matter (PM2. 5) threaten ecosystem security,
human health and sustainable development. The accuracy prediction of daily PM2. 5 …
human health and sustainable development. The accuracy prediction of daily PM2. 5 …
Deep learning methods for atmospheric PM2. 5 prediction: A comparative study of transformer and CNN-LSTM-attention
B Cui, M Liu, S Li, Z **, Y Zeng, X Lin - Atmospheric Pollution Research, 2023 - Elsevier
A transformer-based method was firstly developed to predict the hourly PM 2.5 concentration
at 12 monitoring stations in Bei**g. Convolutional neural network-long short-term memory …
at 12 monitoring stations in Bei**g. Convolutional neural network-long short-term memory …
[HTML][HTML] Prediction of Monthly PM2.5 Concentration in Liaocheng in China Employing Artificial Neural Network
Z He, Q Guo, Z Wang, X Li - Atmosphere, 2022 - mdpi.com
Fine particulate matter (PM2. 5) affects climate change and human health. Therefore, the
prediction of PM2. 5 level is particularly important for regulatory planning. The main …
prediction of PM2. 5 level is particularly important for regulatory planning. The main …
Extreme emission reduction requirements for China to achieve world health organization global air quality guidelines
A big gap exists between current air quality in China and the World Health Organization
(WHO) global air quality guidelines (AQG) released in 2021. Previous studies on air …
(WHO) global air quality guidelines (AQG) released in 2021. Previous studies on air …
How human activities affect and reduce ecological sensitivity under climate change: Case study of the yangtze river economic belt, china
Y Wei, M An, J Huang, X Fang, M Song, B Wang… - Journal of Cleaner …, 2024 - Elsevier
Ecological sensitivity (ES) shows the adaptability of ecosystem. As anthropogenic activities
and climatic change intensify, they affect ES individually and interactively. Thus, clarifying …
and climatic change intensify, they affect ES individually and interactively. Thus, clarifying …
Integrated benefits of synergistically reducing air pollutants and carbon dioxide in China
China's advancements in addressing air pollution and reducing CO2 emissions offer
valuable lessons for collaborative strategies to achieve diverse environmental objectives …
valuable lessons for collaborative strategies to achieve diverse environmental objectives …
Machine learning combined with the PMF model reveal the synergistic effects of sources and meteorological factors on PM2. 5 pollution
Z Zhang, B Xu, W Xu, F Wang, J Gao, Y Li, M Li… - Environmental …, 2022 - Elsevier
PM 2.5 pollution is a complex process mainly affected by emission sources and
meteorological conditions. However, it is hard to accurately assess the effects of emission …
meteorological conditions. However, it is hard to accurately assess the effects of emission …
Flexible Bayesian ensemble machine learning framework for predicting local ozone concentrations
3D-grid-based chemical transport models, such as the Community Multiscale Air Quality
(CMAQ) modeling system, have been widely used for predicting concentrations of ambient …
(CMAQ) modeling system, have been widely used for predicting concentrations of ambient …
Air quality, health, and equity benefits of carbon neutrality and clean air pathways in China
In the pursuit of carbon neutrality, China's 2060 targets have been largely anchored in
reducing greenhouse gas emissions, with less emphasis on the consequential benefits for …
reducing greenhouse gas emissions, with less emphasis on the consequential benefits for …