Overview >

The link-level emssion inventory of vehicular pollutants in the Beijing-Tianjin-Hebei region is developed using the land-use machine learning methods and traffic demand models based on large-scale, real-world traffc profiles from the intercity highway monitoring network and high-resolution congestion maping in the urabn area.  The emission of vehiclar pollutants were calulated with a localized emission factor model based on thousands of in-lab dynamometer tests and hundreds of on-road tests.  The emission inventory dataset currently provides gridded emissions data (0.01°×0.01°) in 2017, which covers NO_x, CO, and PM_2.5。

Readme >

• The BTH vehicle emission inventory is developed by Prof. Ye Wu’s group at Tsinghua University. The traffic flow data are provided by the Transport planning and Research Institute, Ministry of Transport. If you have any questions about the inventory, please contact Ye Wu (ywu@tsinghua.edu.cn).
• The BTH vehicle emission inventory is restricted to non-commercial purposes. Papers, reports or products using the data should cite the related publications of the inventory.

Citation >

Yang D, Zhang S, Niu T, et al. High-resolution mapping of vehicle emissions of atmospheric pollutants based on large-scale, real-world traffic datasets. Atmos Chem Phys. 2019;19(13):8831-8843. doi:10.5194/acp-19-8831-2019

Wu Y, Zhang S, Hao J, et al. On-road vehicle emissions and their control in China: A review and outlook. Sci Total Environ. 2017;574:332-349. doi:10.1016/j.scitotenv.2016.09.040

Zhang S, Wu Y, Wu X, et al. Historic and future trends of vehicle emissions in Beijing, 1998-2020: A policy assessment for the most stringent vehicle emission control program in China. Atmos Environ. 2014;89(2014):216-229. doi:10.1016/j.atmosenv.2013.12.002