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1997 - 2015年中国一氧化碳排放统计

China CO emission accounts 1997-2015.

作者信息

Shan Yuli, Guan Dabo, Zheng Heran, Ou Jiamin, Li Yuan, Meng Jing, Mi Zhifu, Liu Zhu, Zhang Qiang

机构信息

Water Security Research Centre, Tyndall Centre for Climate Change Research, School of International Development, University of East Anglia, Norwich NR4 7TJ, UK.

Department of Earth System Sciences, Tsinghua University, Beijing 100080, China.

出版信息

Sci Data. 2018 Jan 16;5:170201. doi: 10.1038/sdata.2017.201.

Abstract

China is the world's top energy consumer and CO emitter, accounting for 30% of global emissions. Compiling an accurate accounting of China's CO emissions is the first step in implementing reduction policies. However, no annual, officially published emissions data exist for China. The current emissions estimated by academic institutes and scholars exhibit great discrepancies. The gap between the different emissions estimates is approximately equal to the total emissions of the Russian Federation (the 4th highest emitter globally) in 2011. In this study, we constructed the time-series of CO emission inventories for China and its 30 provinces. We followed the Intergovernmental Panel on Climate Change (IPCC) emissions accounting method with a territorial administrative scope. The inventories include energy-related emissions (17 fossil fuels in 47 sectors) and process-related emissions (cement production). The first version of our dataset presents emission inventories from 1997 to 2015. We will update the dataset annually. The uniformly formatted emission inventories provide data support for further emission-related research as well as emissions reduction policy-making in China.

摘要

中国是世界上最大的能源消费国和二氧化碳排放国,占全球排放量的30%。编制中国二氧化碳排放的准确清单是实施减排政策的第一步。然而,中国没有官方公布的年度排放数据。学术机构和学者目前估计的排放量存在很大差异。不同排放估计之间的差距约等于2011年俄罗斯联邦(全球第四大排放国)的总排放量。在本研究中,我们构建了中国及其30个省份的二氧化碳排放清单时间序列。我们遵循政府间气候变化专门委员会(IPCC)的排放核算方法,核算范围为领土行政区划。清单包括与能源相关的排放(47个部门的17种化石燃料)和与过程相关的排放(水泥生产)。我们数据集的第一版呈现了1997年至2015年的排放清单。我们将每年更新该数据集。格式统一的排放清单为中国进一步的排放相关研究以及减排政策制定提供了数据支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/162d/5769543/feda5d5c6fca/sdata2017201-f2.jpg

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