Liu Jinhua, Diao Kehao, Tian Minmin, Xu Peng
School of Management Engineering, Shandong Jianzhu University, Jinan, 250101, China.
Beijing Huakun Hetai Natural Resources Development and Management Co, Beijing, 100069, China.
Environ Sci Pollut Res Int. 2024 Jan;31(1):312-330. doi: 10.1007/s11356-023-30826-9. Epub 2023 Nov 28.
Increased CO emissions from urban energy consumption pose a significant challenge to regional carbon mitigation policies. In this paper, we integrated two nighttime light (NTL) data: the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar-orbiting Partnership (NPP) composite data to estimate the energy carbon emissions from 2000 to 2019. Then the spatiotemporal dynamics of carbon footprint and deficit in the Yellow River Basin were analyzed at the provincial, municipal, and county scales combined with NPP data. The study shows that (1) the total amount of energy consumption CO emissions in the Yellow River Basin had increased from 1332 Mt in 2000 to 6469 Mt in 2019, but the average annual growth rate slowed down after 2010 from 11.5 to 5.61%. (2) From 2000 to 2018, the provinces with the highest carbon footprint and carbon deficit were concentrated in Inner Mongolia and Shanxi. In 2018, Inner Mongolia's carbon footprint was 1366.91 × 10 km, accounting for 22.8% of the total. Cities with high carbon footprint were mainly economic centers and energy-intensive areas of various provinces. High-carbon deficit counties were mainly distributed in the western region. In 2018, 954 counties exhibited carbon deficits. (3) The carbon footprint in the Yellow River Basin at the municipal and county scales have a significant spatial correlation. The H-H clusters of the carbon footprint on the municipal scale were distributed in the middle reaches of the Yellow River Basin. At the county scale, the L-L clusters were mainly in Sichuan and eastern Henan regions. Through the analysis of the spatial and temporal evolution of carbon footprint and carbon deficit in the Yellow River Basin, it is significant to measure the degree of comprehensive coordination of carbon sources and sinks in the basin, to grasp the differences in the level of regional carbon emissions, and to promote synergistic regional governance, assist in the formulation of more precise carbon emission reduction policies, and to promote green and high-quality development.
城市能源消费产生的一氧化碳排放量增加,给区域碳减排政策带来了重大挑战。在本文中,我们整合了两种夜间灯光(NTL)数据:国防气象卫星计划(DMSP)的业务线扫描系统(OLS)和苏米国家极地轨道伙伴关系(NPP)上的可见红外成像辐射仪套件(VIIRS)的合成数据,以估算2000年至2019年的能源碳排放。然后,结合NPP数据,在省、市、县尺度上分析了黄河流域碳足迹和碳亏缺的时空动态。研究表明:(1)黄河流域能源消费碳排放总量从2000年的1332百万吨增加到2019年的6469百万吨,但2010年后年均增长率从11.5%放缓至5.61%。(2)2000年至2018年,碳足迹和碳亏缺最高的省份集中在内蒙古和山西。2018年,内蒙古的碳足迹为1366.91×10平方千米,占总量的22.8%。碳足迹高的城市主要是各省的经济中心和能源密集区。高碳亏缺县主要分布在西部地区。2018年,954个县出现碳亏缺。(3)黄河流域市、县尺度的碳足迹存在显著的空间相关性。市级尺度上碳足迹的高-高聚类分布在黄河流域中游。在县级尺度上,低-低聚类主要在四川和河南东部地区。通过对黄河流域碳足迹和碳亏缺的时空演变分析,对于衡量流域内碳源与碳汇的综合协调程度、把握区域碳排放水平差异、促进区域协同治理、协助制定更精准的碳排放减排政策以及推动绿色高质量发展具有重要意义。