How to cite

If you use the PM2.5 concentration data from TAP, please cite this website (http://tapdata.org.cn) and the following papers:

Geng, G., Xiao, Q., Liu, S., Liu, X., Cheng, J., Zheng, Y., Xue, T., Tong, D., Zheng, B., Peng, Y., Huang, X., He, K., & Zhang, Q. (2021). Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion. Environ Sci Technol, 55, 12106-12115. [Link] [PDF]

Xiao, Q., Geng G., Liu, S., Liu, J., Meng, X., & Zhang, Q. (2022). Spatiotemporal continuous estimates of daily 1 km PM2.5 from 2000 to present under the Tracking Air Pollution in China (TAP) framework. Atmos Chem Phys, 22, 13229–13242. [Link] [PDF]

Xiao, Q., Zheng, Y., Geng, G., Chen, C., Huang, X., Che, H., Zhang, X., He, K., & Zhang, Q. (2021). Separating emission and meteorological contribution to PM2.5 trends over East China during 2000–2018. Atmos Chem Phys, 21, 9475-9496. [Link] [PDF]

Xiao, Q., Geng, G., Cheng, J., Liang, F., Li, R., Meng, X., Xue, T., Huang, X., Kan, H., Zhang, Q., & He, K. (2021). Evaluation of gap-filling approaches in satellite-based daily PM2.5 prediction models. Atmos Environ, 244, 117921. [Link] [PDF]

If you use the PM2.5 chemical composition concentration data from TAP, please cite this website (http://tapdata.org.cn) and the following papers:

Geng, G., Zhang, Q., Tong, D., Li, M., Zheng, Y., Wang, S., & He, K. (2017). Chemical composition of ambient PM2.5 over China and relationship to precursor emissions during 2005–2012. Atmos Chem Phys, 17(14), 9187-9203. [Link] [PDF]

Liu, S., Geng, G., Xiao, Q., Zheng, Y., Liu, X., Cheng, J., & Zhang, Q. (2022). Tracking daily concentrations of PM2.5 chemical composition in China since 2000. Environ Sci Technol, 56, 16517–16527. [Link] [PDF]

If you use the O3 concentration data from TAP, please cite this website (http://tapdata.org.cn) and the following paper:

Xue, T., Zheng, Y., Geng, G., Xiao, Q., Meng, X., Wang, M., Li, X., Wu, N., Zhang, Q., & Zhu, T. (2020). Estimating spatiotemporal variation in ambient ozone exposure during 2013–2017 using a data-fusion model. Environ Sci Technol, 54, 14877-14888. [Link] [PDF]

Xiao, Q., Geng, G., Xue, T., Liu, S., Cai, C., He, K., & Zhang, Q. (2021). Tracking PM2.5 and O3 Pollution and the Related Health Burden in China 2013–2020. Environ Sci Technol. [Link] [PDF]