Accounting for carbon emissions in social water cycle system in nine provinces along the yellow river and analysis of influencing factors

IF 3.9 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Carbon Balance and Management Pub Date : 2024-09-28 DOI:10.1186/s13021-024-00280-2
Lanbo Cui, Fuqiang Wang, Honglu Zhang, Heng Zhao, Jiahao Shi
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Abstract

Background

Water resources is an essential factor to ensure the sustainable development of the society, but along with the utilization and treatment of water resources, a large amount of carbon emissions will be generated. The study of carbon emissions in social water cycle system is of great significance in promoting the achievement of carbon peaking and carbon neutrality. This study calculated the carbon emissions generated in social water cycle system in nine provinces along the Yellow River, used the Tapio decoupling model to analyze the decoupling relationship between water and carbon emissions, and constructed the STIRPAT expanded model to analyze the main influencing factors of carbon emissions.

Results

(1) The total carbon emissions of the nine provinces showed an increasing trend over time, with a growth rate of 25.13%. (2) The carbon emission intensity of water use (1.60kg/m3) and drainage (1.45kg/m3) system is higher, the carbon emission intensity of water supply (0.30kg/m3) and water withdrawal (0.56kg/m3) system is lower. (3) The relationship between water resources utilization and carbon emissions along the Yellow River is generally in a state of negative decoupling and coupling. (4) Energy structure and population growth are the main factors affecting carbon emissions in social water cycle system, while water supply quantity and water use system are secondary factors.

Conclusions

Water use system is the main body of carbon emissions in social water cycle system, and as the water consumption increases, the carbon emissions will continue to increase. In order to reduce carbon emissions and mitigate climate change, carbon emission factors should be incorporated into water resources management.

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沿黄九省社会水循环系统碳排放核算及影响因素分析
背景水资源是保障社会可持续发展的重要因素,但在水资源利用和处理的同时,也会产生大量的碳排放。研究社会水循环系统中的碳排放对促进实现碳峰值和碳中和具有重要意义。本研究计算了沿黄九省社会水循环系统产生的碳排放量,利用 Tapio 解耦模型分析了水与碳排放的解耦关系,并构建了 STIRPAT 扩展模型分析了碳排放的主要影响因素。结果(1)九省碳排放总量呈逐年上升趋势,增长率为 25.13%。(2)用水(1.60kg/m3)和排水(1.45kg/m3)系统的碳排放强度较高,供水(0.30kg/m3)和取水(0.56kg/m3)系统的碳排放强度较低。(3)沿黄水资源利用与碳排放的关系总体上处于负解耦状态。(4)能源结构和人口增长是影响社会水循环系统碳排放的主要因素,供水量和用水系统是次要因素。为了减少碳排放,减缓气候变化,应将碳排放因素纳入水资源管理。
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来源期刊
Carbon Balance and Management
Carbon Balance and Management Environmental Science-Management, Monitoring, Policy and Law
CiteScore
7.60
自引率
0.00%
发文量
17
审稿时长
14 weeks
期刊介绍: Carbon Balance and Management is an open access, peer-reviewed online journal that encompasses all aspects of research aimed at developing a comprehensive policy relevant to the understanding of the global carbon cycle. The global carbon cycle involves important couplings between climate, atmospheric CO2 and the terrestrial and oceanic biospheres. The current transformation of the carbon cycle due to changes in climate and atmospheric composition is widely recognized as potentially dangerous for the biosphere and for the well-being of humankind, and therefore monitoring, understanding and predicting the evolution of the carbon cycle in the context of the whole biosphere (both terrestrial and marine) is a challenge to the scientific community. This demands interdisciplinary research and new approaches for studying geographical and temporal distributions of carbon pools and fluxes, control and feedback mechanisms of the carbon-climate system, points of intervention and windows of opportunity for managing the carbon-climate-human system. Carbon Balance and Management is a medium for researchers in the field to convey the results of their research across disciplinary boundaries. Through this dissemination of research, the journal aims to support the work of the Intergovernmental Panel for Climate Change (IPCC) and to provide governmental and non-governmental organizations with instantaneous access to continually emerging knowledge, including paradigm shifts and consensual views.
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