EAPPCAP Evaluation of the Air Pollution Prevention and Control Action Plan Dataset EAPPCAP 大气污染防治行动计划效果评估数据集

Overview 关于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.

EAPPCAP(Evaluation of Air Pollution Prevention and Control Action Plan Dataset)是用于评估2013-2017年间中国《大气污染防治行动计划》落实成效的相关数据集。

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 PM2.5 concentrations. The simulated gridded PM2.5 concentrations of different scenarios were provided in the EAPPCAP dataset.

EAPPCAP数据集提供了2013-2017年间网格化的MEIC基准排放数据。为了评估不同排放控制措施对空气质量改善的贡献,本研究针对各措施设计了相应的排放控制情景。各排放控制措施相关的网格化减排量数据也包含在本数据库中。本研究使用WRF-CMAQ模拟系统来评估2013-2017年间中国PM2.5污染的变化情况,并分解了气象条件变化和各减排措施对PM2.5污染状况改善的贡献。模拟获得的2013-2017年间基准PM2.5浓度和各情景下模拟的PM2.5浓度网格化结果均包含在本数据库中。

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).

本研究的具体细节见Zhang等(2019)。如对本数据库的使用有任何问题,请联系张强教授(qiangzhang at tsinghua dot edu dot cn)或郑逸璇博士(yxzheng at carnegiescience dot edu)。

References: 参考文献:

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 PM2.5 air quality in China from 2013 to 2017, Proc. Natl. Acad. Sci. U.S.A., https://doi.org/10.1073/pnas.1907956116

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 PM2.5 air quality in China from 2013 to 2017, Proc. Natl. Acad. Sci. U.S.A., https://doi.org/10.1073/pnas.1907956116

Readme 下载须知

  • 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.
  • EAPPCAP数据库仅供非商业用途使用。
  • 在任何使用EAPPCAP数据库的公开论文/材料或未公开的报告/产品中,必须引用以下论文。

Citation 文献引用

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 PM2.5 air quality in China from 2013 to 2017, Proc. Natl. Acad. Sci. U.S.A., https://doi.org/10.1073/pnas.1907956116

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 PM2.5 air quality in China from 2013 to 2017, Proc. Natl. Acad. Sci. U.S.A., https://doi.org/10.1073/pnas.1907956116

Data download 数据下载

Gridded baseline MEIC emission inventory 2013-2017 (monthly total):
网格化的2013-2017 年MEIC基准排放清单(月总量数据):

2013 2014 2015 2016 2017

Gridded emission reductions from each emission control measure (monthly total):
网格化的各排放控制措施减排量(月总量数据):

Strengthen_industrial_emission_standards

Phase_out_small_and_polluting_factories

Phase_out_outdated_industrial_capacities

Upgrades_on_industrial_boilers

Promote_clean_fuels_in_the_residential_sector

Strengthen_vehicle_emission_standards

Gridded model output for PM2.5 concentrations
网格化的PM2.5模拟结果(月均值)

BASE simulations: BASE 情景模拟结果: 2013 2014 2015 2016 2017

FixEmis simulations: FixEmis 情景模拟结果: 2013 2014 2015 2016

MEAS simulations:

MEAS 情景模拟结果:

Strengthen_industrial_emission_standards

Phase_out_small_and_polluting_factories

Phase_out_outdated_industrial_capacities

Upgrades_on_industrial_boilers

Promote_clean_fuels_in_the_residential_sector

Strengthen_vehicle_emission_standards

NoCtrl simulations:

NoCtrl 情景模拟结果:

NoCtrl2017