Che Lu, Guo Sidai, Li Yangli, Zhu Yihao
School of Environment and Resources, Southwest University of Science and Technology, Mianyang, 612000, China.
School of Economics and Management, Southwest University of Science and Technology, Mianyang, 612000, China.
Sci Rep. 2024 Jul 16;14(1):16341. doi: 10.1038/s41598-024-67204-5.
Analysis of the spatial-temporal pattern and trend of carbon emissions provides an important scientific basis for the development of a low-carbon economy. Based on the corrected NPP-VIIRS and DMSP/OLS nighttime light data, a carbon emission model for the Chengdu-Chongqing Economic Zone (CCEZ) in China is constructed. Furthermore, the article establishes an integrated qualitative and quantitative research system. The qualitative results show that at the city and county scales, the high carbon emission areas and counties are mainly distributed in Chengdu and Chongqing, while the low carbon emission areas are concentrated in the marginal cities of the CCEZ and the counties with low levels of industrialization around the Sichuan Basin. The high-carbon emission zone tended to expand to the north, and the low-carbon emission zone tended to expand to the south. At the grid scale, the carbon emissions of the CCEZ fluctuated and increased from 2000 to 2020, forming a trend connected with those of the central city, with high carbon emissions at the core and radiating outward expansion. Quantitative analysis revealed that carbon emissions at the county and grid scales exhibited a significant positive global spatial correlation, and the overall correlation degree exhibited an increasing trend.
碳排放时空格局与趋势分析为低碳经济发展提供了重要的科学依据。基于校正后的NPP-VIIRS和DMSP/OLS夜间灯光数据,构建了中国成渝经济区(CCEZ)的碳排放模型。此外,文章建立了定性与定量相结合的研究体系。定性结果表明,在市县级尺度上,高碳排放地区和县域主要分布在成都和重庆,而低碳排放地区集中在成渝经济区边缘城市以及四川盆地周边工业化水平较低的县域。高碳排放区有向北扩展的趋势,低碳排放区有向南扩展的趋势。在网格尺度上,成渝经济区2000—2020年碳排放呈波动上升趋势,形成与中心城市相连的态势,核心区碳排放高并向外辐射扩展。定量分析表明,县域和网格尺度的碳排放均呈现显著的正向全局空间相关性,且总体关联程度呈上升趋势。