如使用PM_2.5浓度数据，应当引用本网站（http://tapdata.org.cn）及下列论文：

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 PM_2.5 Retrievals from Multisource Data Fusion. Environ Sci Technol, 55, 12106-12115. [链接] [PDF]

Xiao, Q., Geng G., Liu, S., Liu, J., Meng, X., & Zhang, Q. (2022). Spatiotemporal continuous estimates of daily 1 km PM_2.5 from 2000 to present under the Tracking Air Pollution in China (TAP) framework. Atmos Chem Phys, 22, 13229–13242. [链接] [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 PM_2.5 trends over East China during 2000–2018. Atmos Chem Phys, 21, 9475-9496. [链接] [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 PM_2.5 prediction models. Atmos Environ, 244, 117921. [链接] [PDF]

如使用PM_2.5化学组分浓度数据，应当引用本网站（http://tapdata.org.cn）及下列论文：

Liu, S., Geng, G., Xiao, Q., Zheng, Y., Liu, X., Cheng, J., & Zhang, Q. (2022). Tracking daily concentrations of PM_2.5 chemical composition in China since 2000. Environ Sci Technol, 56, 16517–16527. [链接] [PDF]

Geng, G., Zhang, Q., Tong, D., Li, M., Zheng, Y., Wang, S., & He, K. (2017). Chemical composition of ambient PM_2.5 over China and relationship to precursor emissions during 2005–2012. Atmos Chem Phys, 17(14), 9187-9203. [链接] [PDF]

如使用O₃浓度数据，应当引用本网站（http://tapdata.org.cn）及下列论文：

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. [链接] [PDF]

Xiao, Q., Geng, G., Xue, T., Liu, S., Cai, C., He, K., & Zhang, Q. (2021). Tracking PM_2.5 and O₃ Pollution and the Related Health Burden in China 2013–2020. Environ Sci Technol. [链接] [PDF]

如使用全球PM_2.5或野火PM_2.5浓度数据，应当引用本网站（http://tapdata.org.cn）及下列论文：

Zhang, Q., Wang Y., Xiao Q., Geng G., S. J. Davis, Liu,X., J. Yang, J. J. Liu, W. Y. Huang, C. P. He, B. H. Luo, R. V. Martin, M. Brauer, J. T. Randerson, and K. B. He (2025), Long-range PM_2.5 pollution and health impacts from the 2023 Canadian wildfires. Nature. [链接]