基于多来源数据的微观水平城市碳排放空间分布的研究
Xiaojing Yao1, Wei Zheng1,2, Dacheng Wang3
1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
Environmental science and pollution research international
|September 4, 2023
概括
这项研究使用详细数据绘制城市碳排放的地图,揭示了人口分布作为一个关键因素. 调查结果指导了像中新加坡天津生态城市这样的地区的低碳规划.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 遥感 遥感 遥感 遥感
背景情况:
- 全球变暖是一个重大问题,人类活动推动了城市温室气体的强化.
- 了解微观碳排放分布对于有效的低碳发展战略至关重要.
研究的目的:
- 在详细控制规划地块层面分析和绘制碳排放的空间分布.
- 通过使用微量级数据,为城市内低碳发展规划提供科学指导.
主要方法:
- 在北京-天津-河北地区利用夜光图像和统计年鉴进行线性安装.
- 使用兴趣点,道路网络和移动信号数据构建的空间特征指标.
- 采用分析层次流程,为计算排放分布的指标分配权重.
主要成果:
- 人口分布被确定为影响碳排放的最重要指标,其权重为0.384.
- 对于详细的规划图片,计算出了碳排放的不同空间模式.
- 中国-新加坡合作区由于快速发展而出现初级碳排放,而其他地区的碳排放稀少.
结论:
- 对碳排放的精细空间分析是可行的,并且对城市规划有信息.
- 人口密度是确定局部碳排放的一个关键因素.
- 基于已识别的排放热点,可以制定有针对性的低碳战略.
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