2019年和2020年中国各省日二氧化碳排放量

Cui Duo, Liu Zhu, cuncun Duan, D. Zhu, Xiangzheng Deng, Xuanren Song, Dou Xinyu, Taocun Sun
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引用次数: 3

摘要

摘要跟踪中国全国和地区的二氧化碳排放趋势变得越来越重要。中国最近承诺要实现雄心勃勃的减排目标,然而,中国省级二氧化碳排放的高分辨率数据集仍然缺乏。本研究提供了中国31个省的每日二氧化碳排放数据集,其中首次包括西藏省。该清单涵盖2019年至2020年三个工业部门(电力、工业和地面交通)的排放,其时间分辨率为每日水平。此外,首次在省级层面揭示了季节性、每周和节假日期间二氧化碳排放量的变化。加入这些新数据是为了进一步分析周末和节假日对中国二氧化碳排放的影响。在周末期间,碳排放量减少了约3%。同时,春节对中国二氧化碳排放量的减少影响最大。这份详细的、与时间相关的清单将有助于在2019冠状病毒病大流行的恢复和正在进行的能源转型期间对中国的二氧化碳排放进行更加本地化和适应性的管理。数据存档于https://doi.org/10.5281/zenodo.4730175 (Cui et al., 2021)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Daily CO 2 emission for China's provinces in 2019 and 2020
Abstract. Tracking China's national and regional CO2 emission trends is becoming ever more crucial. The country recently pledged to achieve ambitious emissions reduction targets, however, high-resolution datasets for provincial level CO2 emissions in China are still lacking. This study provides daily CO2 emission datasets for China's 31 provinces, including for the first time, the province of Tibet. The inventory covers the emissions from three industrial sectors (power, industry and ground transport) during 2019 to 2020, with its temporal resolution at a daily level. In addition, the variations in CO2 emissions for seasonal, weekly and holiday periods have been uncovered at a provincial level for the first time. This new data was added to further analyze the impact that weekends and holidays have on China's CO2 emissions. Over weekend periods, carbon emissions are shown to reduce by around 3%. Spring Festival meanwhile, has the greatest impact on the reduction of China's CO2 emissions. This detailed and time-related inventory will facilitate a more local and adaptive management of China’s CO2 emissions during both the COVID-19 pandemic’s recovery and the ongoing energy transition. The data are archived at https://doi.org/10.5281/zenodo.4730175 (Cui et al., 2021).
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