气候变化领域集成服务门户(CCPortal): Province-level fossil fuel CO2 emission estimates for China based on seven inventories

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DOI	10.1016/j.jclepro.2020.123377
	Province-level fossil fuel CO2 emission estimates for China based on seven inventories
	Han P.; Lin X.; Zeng N.; Oda T.; Zhang W.; Liu D.; Cai Q.; Crippa M.; Guan D.; Ma X.; Janssens-Maenhout G.; Meng W.; Shan Y.; Tao S.; Wang G.; Wang H.; Wang R.; Wu L.; Zhang Q.; Zhao F.; Zheng B.
发表日期	2020
ISSN	9596526
卷号	277
英文摘要	China pledges to reach a peak in CO2 emissions by 2030 and to make its best efforts to reach this peak earlier. Previous studies have paid much attention to the total amount of China's CO2 emissions, but usually only one dataset is used in each evaluation. The pledged national reduction target is administratively divided into provincial targets. Accurate interpretation of province-level carbon emissions is essential for making policies and achieving the reduction target. However, the spatiotemporal pattern of provincial emissions and the associated uncertainty are still poorly understood. Thus, an assessment of province-level CO2 emissions considering local statistical data and emission factors is urgently needed. Here, we collected and analyzed 7 published emission datasets to comprehensively evaluate the spatiotemporal distribution of provincial CO2 emissions. We found that the provincial emissions ranged from 20 to 649 Mt CO2 and that the standard deviations (SDs) ranged from 8 to 159 Mt. Furthermore, the emissions estimated from provincial-data-based inventories were more consistent than those from the spatial disaggregation of national energy statistics, with mean SDs of 26 and 65 Mt CO2 in 2012, respectively. Temporally, emissions in most provinces increased from 2000 to approximately 2012 and leveled off afterwards. The interannual variation in provincial CO2 emissions was captured by provincial-data-based inventories but generally missed by national-data-based inventories. When compared with referenced inventories, the discrepancy for provincial estimates could reach −57%–162% for national-data-based inventories but were less than 45% for provincial-data-based inventories. Using comprehensive data sets, the range presented here incorporated more factors and showed potential systematic biases. Our results indicate that it is more suitable to use provincial inventories when making policies for subnational CO2 reductions or when performing atmospheric CO2 simulations. To reduce uncertainties in provincial emission estimates, we suggest the use of local optimized coal emission factors and validations of inventories by direct measurement data and remote sensing results. © 2020 Elsevier Ltd
英文关键词	Climate mitigations; Fossil fuel CO2; Multiple inventories; Provincial emissions
scopus关键词	Fossil fuels; Remote sensing; Uncertainty analysis; Direct measurement; Interannual variation; Reduction targets; Spatial disaggregation; Spatiotemporal distributions; Spatiotemporal patterns; Standard deviation; Statistical datas; Carbon dioxide
来源期刊	Journal of Cleaner Production
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/176720
作者单位	State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; Department of Atmospheric and Oceanic Science, And Earth System Science Interdisciplinary Center, University of Maryland, College ParkMD, United States; Goddard Earth Sciences Research and Technology, Universities Space Research Association, Columbia, MD, United States; European Commission, Joint Research Centre (JRC), Ispra, Italy; Department of Earth System Science, Tsinghua University, Beijing, China; State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China; Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China; Energy and Sustainabili...
推荐引用方式 GB/T 7714	Han P.,Lin X.,Zeng N.,et al. Province-level fossil fuel CO2 emission estimates for China based on seven inventories[J],2020,277.
APA	Han P..,Lin X..,Zeng N..,Oda T..,Zhang W..,...&Zheng B..(2020).Province-level fossil fuel CO2 emission estimates for China based on seven inventories.Journal of Cleaner Production,277.
MLA	Han P.,et al."Province-level fossil fuel CO2 emission estimates for China based on seven inventories".Journal of Cleaner Production 277(2020).