Provide the spatial distribution of the annual emissions of BC, CH4, CO2, CO, NH3, NMVOC, NOx, OC and SO2 from agriculture, energy exploitation, industrial and fuel combustion, surface transportation, residential and commercial housing, solvent production, waste disposal and international shipping in China from 1990 to 2015, in kg/m2/yr. The spatial precision is 0.5 °, and the geographic coordinate system is WGS84. The data comes from the CEDs data set. The historical homogenized land use data of China is obtained by linear time interpolation, Chinese regional mask extraction and coordinate system transformation of the original data, and saved in geotiff file format. The methods and standards of data over the years are consistent, the coverage is complete, and the collection and processing process is traceable and reliable.

File naming and required software

File name: the air pollutant emission data is stored in GeoTIFF format. The file name is "airpollutantname_em_anthro_yyyy_sector_sectorname", where airpollutantname stands for the name of the air pollutant, yyyy stands for the year, and sectorname stands for the name of the emission source department. For example, BC_ em_ anthro_ 1990_ sector_ Agr.tif describes the situation of black carbon (BC) emissions from China's agricultural sector in 1990.
Data reading method: it can be opened with ArcGIS, R / Python and other programming languages. The unit is kg / m2 / yr.

Data Citations Data citation guideline What's data citation?

Cite as:

Wang, C., Wang, J. (2022). Historical air pollutant emission data set of China (1990-2015). A Big Earth Data Platform for Three Poles, DOI: 10.5281/zenodo.4509372. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Hoesly, R., Smith, S., Feng, L.Y., Klimont, Z., Janssens-Maenhout, G., Pitkanen, T., Seibert, J., Vu, L., Andres, R., Bolt, R., Bond, T., & Dawidowski, L., Kholod, N., Kurokawa, J., Li, M., Liu, L., Lu, Z.F., Moura, M., & Zhang, Q., et al. (2017). Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emission Data System (CEDS). Geoscientific Model Development Discussions. 1-41. 10.5194/gmd-2017-43.( View Details | Bibtex)

2. Feng, L., Smith, S. J., Braun, C., Crippa, M., Gidden, M. J., Hoesly, R., & Van Der Werf, G. R., et al. (2020). The generation of gridded emissions data for CMIP6. Geoscientific Model Development, 13(2), 461-482.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Interaction and regional performance of natural and human factors on land surface driven by global change (No:2017YFA06036001)

Copyright & License

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)