气候变化领域集成服务门户(CCPortal): Refined pathway for collaborative reduction of carbon dioxide and fine particulate matter in China's key areas

CCPortal

DOI	10.1360/TB-2023-0828
	Refined pathway for collaborative reduction of carbon dioxide and fine particulate matter in China's key areas
	Zhao, Huan; Xu, Bo; Xu, Han; Wang, Zhenyu; Gao, Jie; Huang, Junbo; Dai, Qili; Feng, Yinchang; Shi, Guoliang
发表日期	2024
ISSN	0023-074X
EISSN	2095-9419
起始页码	69
结束页码	10
卷号	69 期号:10
英文摘要	Air pollution and climate change are two major challenges that have emerged in the recent century. Carbon dioxide (CO2), known for absorbing infrared radiation, contributes to global warming and climate change. Fine particulate matter (PM2.5), one of the most important air pollutants, adversely affects regional air quality and poses significant health risks. Numerous studies have established that CO2 and PM2.5 share common emission sources from human activities. Therefore, identifying and understanding these common sources is crucial for developing effective collaborative strategies to reduce ambient levels of CO2 and PM2.5. However, while current research focuses primarily on separate reduction strategies for air quality (targeting fine particulate matter) or climate policies (targeting carbon dioxide), there is a notable gap in comprehensive studies that address the synergistic reduction of both PM2.5 and CO2 especially in key regions in China. Specifically, detailed investigations into the major energy consumption sectors, predominant energy types, and driving factors influencing PM2.5 and CO2 in these regions remain scarce. This underscores the need for refined, integrated approaches to address these two interlinked environmental issues. In this work, we examined energy consumption data from 2000 to 2020 in three distinct regions in China: The Beijing-Tianjin-Hebei region, the Pearl River Delta region, and the Yangtze River Delta region. Our objective was to dissect the energy consumption sectors, energy types, and driving factors contributing to PM2.5 and CO2 emissions. We found that industrial emissions were the primary energy consuming sector among seven end-use energy consumption sectors in all three typical regions for both of PM2.5 and CO2. We then further analyzed the main energy type within this key sector. Our analysis shows that coal was the predominant energy source for PM2.5 emissions throughout 2000 to 2020. In contrast, for CO2 emissions, coal dominated from 2000 to 2010, but from 2010 to 2020, both coal and gas (with coal still being relatively dominant) were significant contributors. To further understand the factors driving carbon dioxide and fine particulate matter emissions per unit GDP, we employed a factor decomposition model. The decomposition model found that energy structure effect was the key driving factor for both of PM2.5 and CO2 from 2000 to 2010; while energy efficiency improvement and energy efficiency improvement were two driving factor for both of PM2.5 and CO2 from 2010 to 2020. Building on this analysis, we utilized an energy-environment accounting prediction model for scenario analysis. This approach allowed us to simulate PM2.5 and CO2 emission trends under different scenarios in the three regions, aiming to identify the most effective pathway for collaborative reduction. Our model results indicate that in the early stage, technological improvement is a critical driver for reducing emissions. However, as we look towards long-term strategies, energy efficiency improvement emerges as a pivotal factor for sustained collaborative emission reduction. In summary, the comprehensive results of this study provide robust quantitative evidence that future efforts should prioritize the key end-use energy consumption sector (industrial emissions), major energy types (coal and gas), and driving factors (energy efficiency improvement and technological improvement). And the prediction results show that the factor of technological improvement has the best emission reduction effect in the early stage; energy efficiency improvement factor will play a key role in the long-term reduction. By focusing on these areas, significant benefits can be achieved in synergistically reducing air pollution and CO2 emissions. This study offers valuable scientific insights for formulating effective strategies to reduce carbon dioxide and fine particulate matter, particularly in key areas of China.
英文关键词	carbon dioxide; fine particulate matter; LEAP model; scenario analysis; synergistic control; refinement
语种	英语
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:001207700400014
来源期刊	CHINESE SCIENCE BULLETIN-CHINESE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/299067
作者单位	Nankai University; Nankai University
推荐引用方式 GB/T 7714	Zhao, Huan,Xu, Bo,Xu, Han,et al. Refined pathway for collaborative reduction of carbon dioxide and fine particulate matter in China's key areas[J],2024,69(10).
APA	Zhao, Huan.,Xu, Bo.,Xu, Han.,Wang, Zhenyu.,Gao, Jie.,...&Shi, Guoliang.(2024).Refined pathway for collaborative reduction of carbon dioxide and fine particulate matter in China's key areas.CHINESE SCIENCE BULLETIN-CHINESE,69(10).
MLA	Zhao, Huan,et al."Refined pathway for collaborative reduction of carbon dioxide and fine particulate matter in China's key areas".CHINESE SCIENCE BULLETIN-CHINESE 69.10(2024).