14 May 2007 Analysis of SO2 point source emissions using NASA atmospheric infrared sounder data
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Abstract
Determining the extent to which large power plant emission sources interacting with atmospheric constituents affect the environment could play a significant role in future U.S. energy production policy. The effects on the environment caused by the interaction between power plant emissions and atmospheric constituents has not been investigated in depth due to the lack of calibrated spectral data on a suitable temporal and spatial scale. The availability of NASA's space-based Atmospheric Infrared Sounder (AIRS) data makes it possible to explore, and begin the first steps toward establishing, a correlation between known emission sources and environmental indicators. An exploratory study was conducted in which a time series of 26 cloud-free AIRS data containing two coal-fired power plants in northern New Mexico were selected, acquired, and analyzed for SO2 emissions. A generic forward modeling process was also developed to derive an estimate of the expected AIRS pixel radiance containing the SO2 emissions from the two power plants based on published combustion analysis data for coal and available power plant documentation. Analysis of the AIRS NE&Dgr;R calculated in this study and subsequent comparison with the radiance values for SO2 calculated from the forward model provided essential information regarding the suitability and risk in the use of a modified AIRS configuration for monitoring anthropogenic point source emissions. The results of this study along with its conclusions and recommendations in conjunction with additional research collaboration in several specific topics will provide guidance for the development of the next generation infrared spectrometer system that NASA is considering building for environmental monitoring.
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Sylvia S. Shen, Sylvia S. Shen, David P. Miller, David P. Miller, Paul E. Lewis, Paul E. Lewis, } "Analysis of SO2 point source emissions using NASA atmospheric infrared sounder data", Proc. SPIE 6565, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, 65651L (14 May 2007); doi: 10.1117/12.720837; https://doi.org/10.1117/12.720837
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