基于SDM的中国气体能源燃烧污染空间分布和驱动因素的分析
Wei Li1, Weihan Liu2, Can Lu1
1North China Electric Power University, Baoding, China.
Environmental geochemistry and health
|August 31, 2023
概括
中国的气体能源燃烧污染表现出显著的空间差异和集群,人口和能源消耗推动了这些模式. 政策建议旨在平衡区域污染和减少排放.
科学领域:
- 环境科学 环境科学
- 生态生态学 生态生态学
- 区域发展 区域发展
背景情况:
- 空气污染,特别是气态能源燃烧造成的空气污染,带来了重大的生态挑战.
- 了解空间分布和驱动因素对于中国的空气质量管理和绿色发展至关重要.
研究的目的:
- 分析气体能源燃烧污染在中国各省份的空间分布和驱动因素.
- 为了分解对污染影响因素的空间影响.
主要方法:
- 利用了来自中国30个省份 (2006-2019) 的面板数据.
- 采用空间德宾模型进行定量和定性分析.
- 集成的空间效应分解.
主要成果:
- 燃气能源燃烧污染显示出显著的空间差异和集群.
- 高高和低低的聚合区域主导着空间分布.
- 人口和能源消耗影响污染,带有空间溢出效应.
结论:
- 经验结果强调了气态能源燃烧污染的区域差异.
- 政策建议侧重于平衡污染水平和减少排放.
- 研究结果为区域发展和污染控制战略提供了宝贵的见解.
关键词:
气体污染 气体污染 气体污染区域聚合 区域聚合SDM SDM SDM SDM SDM SDM SDM SDM SDM SDM SDM SDM SDM SDM SDM SDM SDM空间分布空间分布.更多相关视频
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