DPEC: China’s future emission scenario and database (2015-2050) DPEC中国未来大气排放情景数据库(2015-2050)

About DPEC model and emission database 关于DPEC排放情景数据库

DPEC (Dynamic Projection model for Emissions in China) is a dynamic projection model of future anthropogenic emissions for China. DPEC is coupled with two models, the China’s provincial energy system model in the global integrated assessment model context (GCAM-China, developed by the PNNL team) and the sectoral technology-based turnover models; contains the energy, socioeconomic projection module and the combustion/production technology, end-of-pipe control technology turnover module. Emission sources from DPEC are classified into seven major sectors: power and heating, industrial burning, industrial process, residential, mobile source, solvent use, and agriculture. DPEC is constructed on the Multi-resolution emission inventory for China (MEIC) model framework, which could dynamically multi-resolution track the evolution of China’s air pollutants and CO2 emissions under the global socioeconomic and energy scenarios and China’s local clean air policies.

DPEC(Dynamic Projection model for Emissions in China)是中国未来排放动态预测模型。该模型基于PNNL开发的全球综合评估模型系统框架下中国分省尺度能源系统模型(GCAM-China)和技术演替模型构建,包含能源与经济预测、行业技术与污染控制技术演替两个模块,分电力供热、工业燃烧、工业过程、民用、移动源、溶剂使用源和农业源七个部门。模型以中国多尺度排放清单模型(MEIC)为框架开发,以全球能源经济情景和中国污染控制政策为驱动,多尺度动态预测中国未来大气污染物及温室气体排放。

DPEC database v1.0 contain six emission scenarios, namely SSP1-26-BHE, SSP1-26-ECP, SSP2-45-ECP, SSP3-70-BAU, SSP4-60-BAU and SSP5-85-BHE. These scenarios are combined from five global CMIP6 scenarios (including SSP1-26, SSP2-45, SSP3-70, SSP4-60, and SSP5-85) and three local pollution control scenarios (including Business-As-Usual (BAU), Enhanced-control-policy (ECP), Best-Health-Effect (BHE)).

DPEC中国未来大气排放情景数据库当前版本包含SSP1-26-BHE、SSP1-26-ECP、SSP2-45-ECP、SSP3-70-BAU、SSP4-60-BAU和SSP5-85-BHE六组情景,由五组CMIP6开发的能源经济情景(SSP1-26、SSP2-45、SSP3-70、SSP4-60、SSP5-85)和三组中国污染控制政策(当前政策(BAU)、强化政策(ECP)、最佳政策(BHE))组合而成。

DPEC v1.0 database provides China’s future anthropogenic emissions (including CO2, SO2, NOx, VOCs, PM2.5, PM10, BC, OC, CO and NH3) from 2015 to 2050 under the above-mentioned six scenarios.

DPEC数据库提供上述六组组合情景中国2015-2050年人为源CO2、SO2、NOx、VOCs、PM2.5、PM10、BC、OC、CO 及 NH3排放数据。

DPEC is developed and maintained by the team from Tsinghua University, Beijing, China. For further details about DPEC, please contact Professor Qiang Zhang (qiangzhang at tsinghua dot edu dot cn) or Dr. Dan Tong (td13 at tsinghua dot org dot cn).

DPEC模型及中国未来大气排放情景数据库由清华大学主持开发和维护。如果对DPEC数据使用有任何问题,请联系张强教授(qiangzhang at tsinghua dot edu dot cn)或同丹博士(td13 at tsinghua dot org dot cn)。

Usage criteria 下载需知

  • DPEC should not be utilized for commercial purposes.
  • For any published articles / materials or unpublished reports / products that related to DPEC, please cite the following paper.
  • DPEC数据库仅供非商业用途使用。
  • 在任何使用DPEC数据库的论文、研究报告、产品中,必须完整引用DPEC数据库的相关研究成果。

Download 数据下载

DPECv1.0 China’s future emission database (2015-2050):
Summary_Emissions_Scenarios_v1.0.xlsx

DPECv1.0中国未来大气排放情景数据(2015-2050):
Summary_Emissions_Scenarios_v1.0.xlsx

Citation 文献引用

Tong, D., Cheng, J., Liu, Y., Yu, S., Yan, L., Hong, C., Qin, Y., Zhao, H., Zheng, Y., Geng, G., Li, M., Liu, F., Zhang, Y., Zheng, B., Clarke, L., and Zhang, Q.: Dynamic projection of anthropogenic emissions in China: methodology and 2015–2050 emission pathways under a range of socioeconomic, climate policy, and pollution control scenarios, Atmos. Chem. Phys., https://doi.org/10.5194/acp-2019-1125, 2020 (accepted).