Opportunities beyond net-zero CO2 for cost-effective greenhouse gas mitigation in China

被引:2
作者
Kang, Yating [1 ,3 ]
Tian, Peipei [1 ]
Feng, Kuishuang [2 ]
Li, Jiashuo [1 ]
Hubacek, Klaus [3 ]
机构
[1] Shandong Univ, Inst Blue & Green Dev, Weihai 264209, Peoples R China
[2] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
[3] Univ Groningen, Energy & Sustainabil Res Inst Groningen ESRIG, Integrated Res Energy Environm & Soc IREES, NL-9747 AG Groningen, Netherlands
基金
中国国家自然科学基金;
关键词
Non-CO 2 greenhouse gas; Emission trajectory; Mitigation cost; Climate benefit; 1.5; DEGREES-C; DEEP MITIGATION; CLIMATE; EMISSIONS; BENEFITS; SCENARIOS; PATHWAY; PLEDGES; MODEL;
D O I
10.1016/j.scib.2024.08.012
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Achieving net-zero CO2 emissions is the current main focus of China's carbon neutrality goal. However, non-CO2 greenhouse gases (GHGs) are more powerful climate forcers, making their emission reduction an opportunity to rapidly mitigate future warming. Here, we evaluate non-CO2 mitigation potentials, costs and climate benefits in the context of China's carbon neutrality goals. The assessment is conducted by coupling the integrated assessment model GCAM with a climate emulator. The findings indicate that mitigation technologies can largely reduce fluorinated gas emissions from industrial sectors, but longterm non-CO2 reductions of energy sector activities rely heavily on fuel switching. Furthermore, the cumulative costs of deploying non-CO2 mitigation technologies are projected to be less than 10 % of the total costs of achieving carbon neutrality from 2020 to 2060. If non-CO2 mitigation measures are included in the overall mitigation portfolio, the benefits of avoided warming would by far outweigh the total mitigation cost increase. Our results thus highlight that incorporating a wider suite of GHGs into climate change mitigation strategies can enhance the cost-effectiveness of mitigation efforts. (c) 2024 Science China Press. Published by Elsevier B.V. and Science China Press. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页码:3434 / 3443
页数:10
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