Xue Huazhu, Ma Qianqian, Ge Xiaosan
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454003, China.
Sci Rep. 2025 Jan 27;15(1):3384. doi: 10.1038/s41598-025-87899-4.
Owing to China's massive area and vastly differing regional variations in the types and efficiency of energy, the spatiotemporal distributions of regional carbon emissions (CE) vary widely. Regional CE study is becoming more crucial for determining the future course of sustainable development worldwide. In this work, two types of nighttime light data were integrated to expand the study's temporal coverage. On this basis, the distribution of energy-related CE in the Yangtze River Delta (YRD) region of China was estimated at a multispatial scale. Then the spatiotemporal dynamics of CE were explored based on the estimated results. The findings showed that the growth rate of CE in the YRD displayed three stages, and the total CE fluctuated upward. The spatial pattern of CE demonstrated a step-like decline from east to west. However, the Gini coefficient indicated that the differences in CE between cities gradually decreased since the CE had a strong spatial positive correlation in the YRD. Multiple factors affected the spatial variation of CE in the YRD, with economic level and population as the "critical" influencing elements, which determined the absolute amount of CE. This study provides a long-term analysis of CE dynamics while enhancing explanatory accuracy. The methods offer novel perspectives and tools for regional CE research. The results reveal spatial heterogeneity and clustering patterns of CE within regions, contributing valuable scientific evidence for monitoring regional CE and formulating emission reduction policies.
由于中国地域辽阔，能源类型和效率的区域差异巨大，区域碳排放（CE）的时空分布差异很大。区域CE研究对于确定全球可持续发展的未来走向变得越来越重要。在这项工作中，整合了两种类型的夜间灯光数据以扩大研究的时间覆盖范围。在此基础上，在多空间尺度上估算了中国长江三角洲（YRD）地区与能源相关的CE分布。然后根据估算结果探讨了CE的时空动态。研究结果表明，长三角地区CE的增长率呈现三个阶段，CE总量呈波动上升趋势。CE的空间格局呈现出从东向西的阶梯状下降。然而，基尼系数表明，由于长三角地区CE存在很强的空间正相关性，城市间CE的差异逐渐减小。多种因素影响了长三角地区CE的空间变化，经济水平和人口是“关键”影响因素，决定了CE的绝对量。本研究在提高解释准确性的同时，对CE动态进行了长期分析。这些方法为区域CE研究提供了新的视角和工具。研究结果揭示了区域内CE的空间异质性和聚类模式，为监测区域CE和制定减排政策提供了有价值的科学依据。
