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arXiv 2602.12488physics.ao-ph
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利用短波红外成像光谱法映射氨排放云团

Mapping ammonia emission plumes using shortwave infrared imaging spectroscopy

Carbon Mapper(碳映射器);Massachusetts Institute of Technology(麻省理工学院);Jet Propulsion Laboratory, California Institute of Technology(加州理工学院喷气推进实验室)

Nicholas Balasus, Daniel H. Cusworth, Jinsol Kim, Daniel J. Varon, Charles E. Miller, Riley M. Duren

AI总结:

本研究利用短波红外成像光谱法,通过反射阳光信号,实现了对工业氨排放源的高效监测与量化。

摘要:

大气中的氨排放对生态系统和人类健康有害。这些排放传统上使用热红外光谱仪进行监测,但这种技术受热对比度要求、现有卫星传感器空间分辨率较低以及高分辨率航空调查测量频率低的限制。在这里,我们展示了使用短波红外成像光谱法可以量化氨排放,通过利用反射阳光而不是热辐射来获取信号,并使大量现有和未来成像光谱仪能够进入氨观测系统。作为对这一新发现能力的证明概念,我们使用Tanager-1卫星数据来量化来自巴基斯坦和乌兹别克斯坦工业点源的氨排放。

英文摘要:

Atmospheric ammonia emissions are harmful to ecosystems and human health. These emissions have traditionally been monitored using thermal infrared spectrometers, though such techniques are limited by thermal contrast requirements, the coarse spatial resolution of existing satellite sensors, and low measurement frequency of higher-resolution aerial surveys. Here, we show that ammonia emissions can be quantified using shortwave infrared imaging spectroscopy, circumventing these challenges by using reflected sunlight instead of thermal emission for signal and by enabling a large class of existing and future imaging spectrometers to enter the ammonia observing system. As a proof of concept for this newly discovered capability, we use Tanager-1 satellite data to quantify emissions from industrial point sources of ammonia in Pakistan and Uzbekistan.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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