Publications

Datasets >

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. [Link] [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. [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]

Methodology >

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. [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 PM_2.5 prediction models. Atmos Environ, 2021, 244, 117921. [Link] [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. [Link] [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. [Link] [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. [Link] [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. [Link] [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. [Link] [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. [Link] [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. [Link] [PDF]

Applications >

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. [Link] [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. [Link] [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. [Link] [PDF]