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Yan Chen and Chunchun Hu
Accurate prediction of fine particulate matter (PM2.5) concentration is crucial for improving environmental conditions and effectively controlling air pollution. However, some existing studies could ignore the nonlinearity and spatial correlation of time...
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Kunkun Fan, Daichao Li, Cong Li, Xinlei Jin, Fei Ding and Zhan Zeng
Analyzing the influencing factors of PM2.5 concentration, scenario simulations, and countermeasure research to address the problem of PM2.5 pollution in Guangdong Province is of great significance for governments at all levels for formulating relevant po...
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Jianjun Ni, Yan Chen, Yu Gu, Xiaolong Fang and Pengfei Shi
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Sihan Ni, Zhongyi Wang, Yuanyuan Wang, Minghao Wang, Shuqi Li and Nan Wang
Geographically neural network weighted regression is an improved model of GWR combined with a neural network. It has a stronger ability to fit nonlinear functions, and complex geographical processes can be modeled more fully. GNNWR uses the distance metr...
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Jinsong Zhang, Yongtao Peng, Bo Ren and Taoying Li
The concentration of PM2.5 is an important index to measure the degree of air pollution. When it exceeds the standard value, it is considered to cause pollution and lower the air quality, which is harmful to human health and can cause a variety of diseas...
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Yonghang Lai, Ian A. Ridley and Peter Brimblecombe
Ingress of air from neighboring apartments is an important source of fine particulate matter (PM2.5) in residential multi-story buildings. It affects the measurement and estimation of particle deposition rate and penetration factor. A blower-door method ...
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Dixian Zhu, Changjie Cai, Tianbao Yang and Xun Zhou
In this paper, we tackle air quality forecasting by using machine learning approaches to predict the hourly concentration of air pollutants (e.g., ozone, particle matter (PM2.5
PM
2.5
) and sulfur dioxide). Machine learning, as one of the most popular te...
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Samuel D. Lightstone, Fred Moshary and Barry Gross
Human health is strongly affected by the concentration of fine particulate matter (PM2.5). The need to forecast unhealthy conditions has driven the development of Chemical Transport Models such as Community Multi-Scale Air Quality (CMAQ). These models at...
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