Cui Lanbo, Wang Fuqiang, Zhang Honglu, Zhao Heng, Shi Jiahao
North China Univ of Water Resources & Elect Power, Zhengzhou, 450046, Henan, P.R. China.
Henan Key Lab Water Resources Conservat & Intens U, Zhengzhou, 450046, Henan, P.R. China.
Carbon Balance Manag. 2024 Sep 28;19(1):33. doi: 10.1186/s13021-024-00280-2.
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.
(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/m) and drainage (1.45kg/m) system is higher, the carbon emission intensity of water supply (0.30kg/m) and water withdrawal (0.56kg/m) 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.
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.
水资源是保障社会可持续发展的关键因素，但随着水资源的利用与处理，会产生大量碳排放。社会水循环系统中的碳排放研究对于推动碳达峰和碳中和目标的实现具有重要意义。本研究计算了黄河沿线九省社会水循环系统产生的碳排放，运用Tapio脱钩模型分析水与碳排放之间的脱钩关系，并构建STIRPAT扩展模型分析碳排放的主要影响因素。
（1）九省的碳排放总量随时间呈上升趋势，增长率为25.13%。（2）用水（1.60kg/m）和排水（1.45kg/m）系统的碳排放强度较高，供水（0.30kg/m）和取水（0.56kg/m）系统的碳排放强度较低。（3）黄河沿线水资源利用与碳排放的关系总体处于负脱钩和耦合状态。（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，而供水量和用水系统是次要因素。
用水系统是社会水循环系统碳排放的主体，随着用水量的增加，碳排放将持续上升。为减少碳排放和缓解气候变化，应将碳排放因素纳入水资源管理。
