根据太空观测,量化发电厂的瞬间氧化排放量
Tao Tang1, Tianhai Cheng2, Hao Zhu1
1State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; University of Chinese Academy of Sciences, Beijing 100049, China.
The Science of the total environment
|May 27, 2024
概括
这项研究使用卫星数据量化了发电厂的瞬间氧化 (NOx) 排放量,大大改善了年度排放估计. 新方法提供了更准确的了解发电厂污染.
科学领域:
- 大气科学 大气科学
- 环境监测 环境监测
- 遥感 遥感 遥感 遥感
背景情况:
- 热电厂是氧化 (NOx) 排放的主要来源,影响空气质量和健康.
- 卫星观测为排放量定量提供全球覆盖范围,但传统方法存在局限性.
- 之前的研究整合了长时间数据,导致单个发电厂的年度排放估计存在错误.
研究的目的:
- 引入一种新的方法,用单个卫星超车数据来量化发电厂的瞬间NOx排放量.
- 通过考虑排放和扩散条件的时间变化来减少年度排放估计错误.
- 为了比较指数式修改高斯模型 (EMG) 与高斯羽毛模型 (GPM) 的性能,用于即时排放估计.
主要方法:
- 利用 Sentinel-5 Precursor上的热带层监测仪器 (TROPOMI) 进行的单通道观测.
- 应用了指数式修改的高斯式 (EMG) 羽毛模型来定量即时的排放率.
- 美国6个发电厂的量化即时NOx排放率.
主要成果:
- 与GPM相比,EMG模型提供了更准确的即时排放估计.
- 这种新方法在单个发电厂层面的年度排放估计中显示出了63.7%的改善.
- 通过解决时间变化,可以准确量化瞬间排放率.
结论:
- 基于卫星的即时NOx排放量化是可行的,并且比传统方法显著提高了准确性.
- 该EMG模型提供了一个优越的方法来估计从卫星数据发电厂的排放.
- 这项研究为了解发电厂排放行为和改善空气质量管理提供了更细致的数据.
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