[碳排放的时空轨迹和驱动因素基于贝叶斯层次的时空模型]
Yu-Bo Ding1,2,3,4, Xiao-Jian Wei1,2,3,4, Jin Cai1,2,3,4
1Jiangxi Key Laboratory of Watershed Ecological Process and Information, East China University of Technology, Nanchang 330013, China.
Huan jing ke xue= Huanjing kexue
|February 9, 2026
概括
长江中部城市碳排放量从2006年到2021年增加,武汉城市聚集地是最大的排放者. 贝叶斯的层次空间-时间模型将城市化率确定为主要驱动因素,显示出排放的显著空间相关性.
科学领域:
- 环境科学 环境科学
- 城市研究 城市研究
- 空间分析 空间分析
背景情况:
- 调查城市碳排放对于全球气候目标和生态保护至关重要.
- 鉴定排放驱动因素的传统方法在处理复杂的关系和数据缺口方面存在局限性.
- 贝叶斯层次的时空模型为分析非线性和多边变量关系提供了更高的准确性.
研究的目的:
- 分析长江中游地区城市碳排放的时空轨迹.
- 确定和量化影响这些碳排放的驱动因素.
- 应用贝叶斯层次的时空模型,以提高排放分析的准确性.
主要方法:
- 碳计量系数方法用于测量城市聚合物的排放.
- 尾部指数,重心迁移模型和空间自相关性用于轨迹分析.
- 驱动因素分析的贝叶斯层次空间时间模型.
主要成果:
- 总碳排放量从2006年的784,596,800上升到2021年的1,233,505,600,增长速度放缓.
- 武汉城市聚集地是核心排放者 (47.48%);观察到显著的空间相关性 (高高/低低聚类),西部的排放量更高.
- 城市化速度是最有影响力的驱动因素,其次是工业结构和经济发展水平;城市化,经济发展,外国资本和能源效率对排放的影响正在增加.
结论:
- 研究区域的城市碳排放显示出明显的时空模式,并受到多种因素的重大影响,其中城市化占主导地位.
- 贝叶斯层次的时空模型为理解复杂的排放动态及其驱动因素提供了一个强大的框架.
- 调查结果为城市聚合区的有针对性的碳减排战略和政策制定提供了关键的见解.
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