EECAP – MEICModel

About EAPPCAP

The Evaluation of Air Pollution Prevention and Control Action Plan Dataset, EAPPCAP, is a database applied for evaluating the efficacy of China’s Air Pollution Prevention and Control Action Plan implemented 2013-2017.

The EAPPCAP dataset includes gridded baseline MEIC emission inventory for China from 2013-2017. To estimate the contribution of different control measures to the air quality improvements in China, emission control scenarios were designed. Gridded emission reductions from each of the emission control measures are also provided in the EAPPCAP dataset. The WRF-CMAQ modeling system was applied to estimate the variations in air quality during 2013-2017 over China. The modeling system was also applied to quantify the contributions of meteorological variations and different emission control measures to the changes in PM_2.5 concentrations. The simulated gridded PM_2.5 concentrations of different scenarios were provided in the EAPPCAP dataset.

Details of the study are documented in Zhang et al. (2019). For further questions, please contact Professor Qiang Zhang (qiangzhang at tsinghua dot edu dot cn) or Dr. Yixuan Zheng (yxzheng at carnegiescience dot edu).

References:

Zhang, Q., Y. X. Zheng, D. Tong, M. Shao, S. X. Wang, Y. H. Zhang, X. D. Xu, J. N. Wang, H. He, W. Q. Liu, Y. H. Ding, Y. Lei, J. H. Li, Z. F. Wang, X. Y. Zhang, Y. S. Wang, J. Cheng, Y. Liu, Q. R. Shi, L. Yan, G. N. Geng, C. P. Hong, M. Li, F. Liu, B. Zheng, J. J. Cao, A. J. Ding, J. Gao, Q. Y. Fu, J. T. Huo, B. X. Liu, Z. R. Liu, F. M. Yang, K. B. He, and J. M. Hao (2019), Drivers of improved PM_2.5 air quality in China from 2013 to 2017, Proc. Natl. Acad. Sci. U.S.A., https://doi.org/10.1073/pnas.1907956116

Readme

The EAPPCAP dataset is restricted to non-commercial purposes.
For any published articles/materials or unpublished reports/products that related to EAPPCAP, please cite the following paper.