数据产品 >

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]

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]

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., 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]

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]

反演算法 >

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]

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, 2021, 117921. [链接] [PDF]

Geng, G., Meng, X., He, K., & Liu, Y. (2020). Random forest models for PM_2.5 speciation concentrations using MISR fractional AODs. Environ Res Lett, 15, 034056. [链接] [PDF]

Geng, G., Xiao, Q., Zheng, Y., Tong, D., Zhang, Y., Zhang, X., Zhang, Q., He, K., & Liu, Y. (2019). Impact of China’s Air Pollution Prevention and Control Action Plan on PM_2.5 chemical composition over eastern China. Sci China Earth Sci, 62, 1872-1884. [链接] [PDF]

Xue, T., Zheng, Y., Tong, D., Zheng, B., Li, X., Zhu, T., & Zhang, Q. (2019). Spatiotemporal continuous estimates of PM_2.5 concentrations in China, 2000–2016: A machine learning method with inputs from satellites, chemical transport model, and ground observations. Environ Int, 123, 345-357. [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, 9187. [链接] [PDF]

Xue, T., Zheng, Y., Geng, G., Zheng, B., Jiang, X., Zhang, Q., & He, K. (2017). Fusing observational, satellite remote sensing and air quality model simulated data to estimate spatiotemporal variations of PM_2.5 exposure in China. Remote Sens, 9, 221. [链接] [PDF]

Zheng, Y., Zhang, Q., Liu, Y., Geng, G., & He, K. (2016). Estimating ground-level PM_2.5 concentrations over three megalopolises in China using satellite-derived aerosol optical depth measurements. Atmos Environ, 124, 232-242. [链接] [PDF]

Geng, G., Zhang, Q., Martin, R.V., van Donkelaar, A., Huo, H., Che, H., Lin, J., & He, K. (2015). Estimating long-term PM_2.5 concentrations in China using satellite-based aerosol optical depth and a chemical transport model. Remote Sens Environ, 166, 262-270. [链接] [PDF]

数据应用 >

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]

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]

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., Liang, F., Wang, X., Lv, Z., Lei, Y., Huang, X., Zhang, Q., Liu, Y., & He, K. (2020). Changes in spatial patterns of PM_2.5 pollution in China 2000–2018: Impact of clean air policies. Environ Int, 141, 105776. [链接] [PDF]

Geng, G., Xiao, Q., Zheng, Y., Tong, D., Zhang, Y., Zhang, X., Zhang, Q., He, K., & Liu, Y. (2019). Impact of China’s Air Pollution Prevention and Control Action Plan on PM_2.5 chemical composition over eastern China. Sci China Earth Sci, 62, 1872-1884. [链接] [PDF]

Xue, T., Liu, J., Zhang, Q., Geng, G., Zheng, Y., Tong, D., Liu, Z., Guan, D., Bo, Y., & Zhu, T. (2019). Rapid improvement of PM_2.5 pollution and associated health benefits in China during 2013–2017. Sci China Earth Sci, 62, 1847-1856. [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, 9187. [链接] [PDF]

Zheng, Y., Xue, T., Zhang, Q., Geng, G., Tong, D., Li, X., & He, K. (2017). Air quality improvements and health benefits from China’s clean air action since 2013. Environ Res Lett, 12, 114020. [链接] [PDF]