使用多卫星观测来限制氨排放,并释放它们在开放水域上的潜力
Mahmoudreza Momeni1, Arash Kashfi Yeganeh1, Hadi Zanganeh Kia1
1Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, USA.
Scientific reports
|July 23, 2025
概括
卫星数据提炼了陆地和海洋的氨排放. 新的评估显示,排放量和度更高,改善了空气质量预测和全球估计.
科学领域:
- 大气化学 大气化学
- 遥感 遥感 遥感 遥感
- 环境科学 环境科学
背景情况:
- 氨 (NH3) 排放,特别是开放水域的排放,人们对其了解甚少,这阻碍了准确的空气质量建模.
- 在NH3排放的不确定性影响无机气溶的形成和整体空气质量评估.
- 卫星数据为改善NH3排放库存提供了一个有希望的途径.
研究的目的:
- 通过反向建模和交叉轨道红外探测器 (CrIS) 数据,对美国中南部 (SCUS) 的2019年氨排放量进行细化.
- 评估精炼NH3排放对无机气溶度的影响.
- 通过使用红外大气声波干扰仪 (IASI) 和Cris数据,单独和组合来评估开放水面上的氨排放.
主要方法:
- 使用Cris卫星数据的反向建模技术来估计NH3排放.
- 采用IASI和Cris数据集来限制NH3排放,包括对开放水域的新评估.
- 将卫星衍生的排放估计与地表测量进行比较,并评估多卫星数据集的性能.
主要成果:
- 在SCUS上每年的后期NH3排放量比之前的估计高2.5倍,平均度增加了3.4倍.
- 在排放精炼后,颗粒氨,硫酸盐和酸盐的含量显著增加.
- 结合IASI/CrIS数据集显示,与表面测量相比,单个数据集的一致性更好.
- 墨西哥湾西北部 (NWGOM) 上的NH3度增加了1.4ppb,这是由于生物固化的原因.
结论:
- 卫星数据,特别是IASI/CrIS组合数据,可以显著改进陆地和开放水域的NH3排放.
- 使用多卫星数据集的高分辨率区域逆向建模对于改善空气质量预测至关重要.
- 这项研究表明,增强全球排放库存和更好地了解大气过程的潜力.
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