Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1088/1748-9326/ab858b |
Retrospect driving forces and forecasting reduction potentials of energy-related industrial carbon emissions from China's manufacturing at city level | |
Su, Yongxian1,3,4; Wang, Yilong4; Zheng, Bo4; Ciais, Philippe1; Wu, Jianping2; Chen, Xiuzhi1; Wang, Yang1; Wang, Changjian1; Ye, Yuyao1; Li, Qian1; Zhang, Chaoqun1; Zhang, Hongou1; Huang, Guangqing1; Huang, Ningsheng7; Lafortezza, Raffaele5,6 | |
2020-07-01 | |
发表期刊 | ENVIRONMENTAL RESEARCH LETTERS |
ISSN | 1748-9326 |
出版年 | 2020 |
卷号 | 15期号:7 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; France; Italy |
英文摘要 | Lack of either spatial or temporal coverage in city-level carbon emissions analysis might curb our understanding of historical drivers and make future forecasting uncertain. To fill these gaps, we analyzed time-series energy-related industrial carbon emissions (EICEs) from manufacturing in over 99 cities nationwide in China during the period 2000-2015. We estimated these cities' EICEs reduction potential up until 2030 by improving scenario design, which imposed constraints separately on different city groups based on historical drivers. Results indicated distinct changes of EICEs around 2013 for the heavy manufacturing [HM], light manufacturing [LM] and high-tech development [HD] city groups and of emissions intensity for the energy production [EP] city group. The slowing economic growth would partly explain these transformations since 2013. Energy efficiency and industrial structure contributed most to these switches for the EP and HD city groups, respectively, while energy mix and energy efficiency were also major contributors for the HM and LM city groups. Given economic growth at a normal speed, EICEs will increase by 59%, 78%, 90% and 95% for the EP, HM, LM and HD city groups, respectively, from 2015-2030. Our scenarios show that energy efficiency improvement and industrial structure optimization will spur the EICEs to peak before 2030 and limit future EICEs increase by 6.4% and 33.4% in 2030 for the EP and HD city groups, respectively. This implies that energy efficiency improvement and industrial structure optimization are key emissions mitigation factors for the EP and HD cities. Equally important, our study found more unclean fuel structure with higher coal share in the HM and LM city groups than in the other groups. It is therefore imperative to improve their energy efficiency and optimize energy and industrial structures in the HM and LM cities. Results highlight the need to impose different constraints in scenario design and provide mitigation strategies at city level. |
英文关键词 | carbon emission mitigation city level manufacturing scenario design carbon emission driver mitigation strategy |
领域 | 气候变化 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000549897800001 |
WOS关键词 | CO2 EMISSIONS ; DECOMPOSITION ANALYSIS ; DIOXIDE EMISSIONS ; MITIGATION ; ALLOCATION ; IMPACT ; TARGET ; URBANIZATION ; GOVERNMENTS ; CONSUMPTION |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/289352 |
专题 | 气候变化 |
作者单位 | 1.Guangzhou Inst Geog, Key Lab Guangdong Utilizat Remote Sensing & Geog, Guangdong Open Lab Geospatial Informat Technol &, Guangzhou 510070, Peoples R China; 2.Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou 510275, Peoples R China; 3.Southern Marine Sci & Engn Guangdong Lab, Guangzhou 511458, Peoples R China; 4.UMR 1572 CEA CNRS UVSQ, Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France; 5.Univ Hong Kong, Dept Geog, Centennial Campus,Pokfulam Rd, Hong Kong, Peoples R China; 6.Univ Bari A Moro, Dept Agr & Environm Sci, Via Amendola 165-A, I-70126 Bari, Italy; 7.Chinese Acad Sci, Guangzhou Inst Geochem, Guangzhou 510640, Peoples R China |
推荐引用方式 GB/T 7714 | Su, Yongxian,Wang, Yilong,Zheng, Bo,et al. Retrospect driving forces and forecasting reduction potentials of energy-related industrial carbon emissions from China's manufacturing at city level[J]. ENVIRONMENTAL RESEARCH LETTERS,2020,15(7). |
APA | Su, Yongxian.,Wang, Yilong.,Zheng, Bo.,Ciais, Philippe.,Wu, Jianping.,...&Lafortezza, Raffaele.(2020).Retrospect driving forces and forecasting reduction potentials of energy-related industrial carbon emissions from China's manufacturing at city level.ENVIRONMENTAL RESEARCH LETTERS,15(7). |
MLA | Su, Yongxian,et al."Retrospect driving forces and forecasting reduction potentials of energy-related industrial carbon emissions from China's manufacturing at city level".ENVIRONMENTAL RESEARCH LETTERS 15.7(2020). |
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