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ACP | Articles | Volume 20, issue 6
Atmos. Chem. Phys., 20, 3273–3289, 2020
https://doi.org/10.5194/acp-20-3273-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 20, 3273–3289, 2020
https://doi.org/10.5194/acp-20-3273-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 19 Mar 2020

Research article | 19 Mar 2020

Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees

Jing Wei et al.

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Aggarwal, P. and Jain, S.: Impact of air pollutants from surface transport sources on human health: a modeling and epidemiological approach, Environ. Int., 83, 146–157, 2015. 
Bartell, S. M., Longhurst, J., Tjoa, T., Sioutas, C., and Delfino, R. J.: Particulate air pollution, ambulatory heart rate variability, and cardiac arrhythmia in retirement community residents with coronary artery disease, Environ. Health Persp., 121, 1135–1141, 2013. 
Brokamp, C., Jandarov, R., Hossain, M., and Ryan, P.: Predicting daily urban fine particulate matter concentrations using a random forest model, Environ. Sci. Tech., 52, 4173–4179, 2018. 
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Chen, G., Li, S., Knibbs, L., Hamm, N., Cao, W., Li, T., Guo, J., Ren, H., Abramson, M., and Guo, Y.: A machine learning method to estimate PM2.5 concentrations across China with remote sensing, meteorological and land use information, Sci. Total Environ., 636, 52–60, 2018. 
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This study introduced an enhanced space–time extremely randomized trees (STET) approach to improve the 1 km resolution ground-level PM2.5 estimates across China using the remote sensing technology. The STET model shows high accuracy and strong predictive power and appears to outperform most models reported by previous studies. Thus, it is of great importance for future air pollution studies at medium- or small-scale areas and will be applied to generate the historical PM2.5 dataset across China.
This study introduced an enhanced space–time extremely randomized trees (STET) approach to...
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