[使用校准夜间灯光在城市聚集地中估计碳排放量及其时空动态]
Shuan Peng1,2,3, Yue Tang2,3, Guo-Zhu Mao1
1School of Environmental Science & Engineering, Tianjin University, Tianjin 300354, China.
Huan jing ke xue= Huanjing kexue
|March 14, 2026
概括
中国城市对于减少碳排放至关重要. 夜间照明可以揭示城市聚合物的碳排放模式,显示趋势,空间动态,以及需要针对有效气候行动的减少战略的地区.
科学领域:
- 环境科学 环境科学
- 地理 地理 地理 地理.
- 遥感 遥感 遥感 遥感
背景情况:
- 城市占碳排放的85%,使得城市聚集地对中国的碳减排目标至关重要.
- 了解与能源相关的碳排放的时空动态对于有针对性的减缓战略至关重要.
研究的目的:
- 估计和分析2000-2022年中国主要城市聚集区 (北京-天津-河北,中原,成都-重庆) 的与能源相关的碳排放.
- 探索这些聚合区内碳排放的时空模式,影响因素和演变趋势.
主要方法:
- 使用交校准的夜间灯光数据来估计与能源相关的碳排放.
- 采用斜率指数,标准偏差圆和探索性时空数据分析来检查排放动态.
- 分析了城市聚集地和县级的碳排放模式.
主要成果:
- 研究的城市聚合区的碳排放呈现出快速增长的趋势,随后增长率下降,最终稳定.
- 在北京-天津-河北 (东北-西南) 和成都-重庆 (西北-东南) 观察到碳排放的明显空间方向,受到工业转移和核心城市的影响.
- 空间自相关性 (高高低集群) 在县级存在,与中央平原相比,北京-天津-河北和成都-重庆的自相关性更强.
结论:
- 这些发现强调了整合多来源数据的重要性,以准确估计碳排放.
- 碳排放局部空间结构稳定,在快速发展的地区和核心城市周围有显著的活力.
- 促进协同减少碳排放需要专注于效率和公平,考虑到各城市聚集区的发展和排放模式的不同.
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