利用辐射传输模拟和AVIRIS-NG数据监测点源二氧化碳排放

Hasmukh K. Varchand, M. Pandya, Jalpesh A. Dave, Parthkumar Parmar, H. Trivedi
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引用次数: 0

摘要

大量的二氧化碳(CO2)排放导致大气中的辐射强迫,从而增加了地球的温度。为了减少人类活动造成的二氧化碳排放,对燃煤火力发电厂等主要大气CO2源和汇进行监测是十分重要的。具有连续光谱带的机载高光谱传感器具有测量点源CO2排放的能力。在本研究中,我们使用辐射传输(RT)模拟和机载可见/红外成像光谱仪-下一代(AVIRIS-NG)数据估计了二氧化碳浓度,这些数据是在印度贾坎德邦的mathon TPP上获得的。短波红外(SWIR)区域由于对边界层大气具有较高的灵敏度,最适合用于探测CO2排放源。我们使用$2.0 \mu \mathrm{m}$吸收波段进行CO2李子检测。本文介绍了连续统插值带比(CIBR)法测量TPP排放的大气CO2浓度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Point Source Carbon Dioxide Emission Monitoring Using Radiative Transfer Simulations and AVIRIS-NG Data
The significant amount of Carbon Dioxide (CO2) emission causes radiative forcing in the atmosphere that increases the earth's temperature. To reduce the emission from anthropogenic activity, it is important to monitor the major sources and sinks of atmospheric CO2 such as coal-fired Thermal Power Plant (TPP). Airborne hyperspectral sensors with contiguous spectral bands have capabilities to measure point source CO2 emission. In this study, we have estimated CO2 concentration using Radiative Transfer (RT) simulations and Airborne Visible/InfraRed Imaging Spectrometer - Next Generation (AVIRIS-NG) data acquired on Maithon TPP at Jharkhand in India. Due to its higher sensitivity to the boundary layer atmosphere, the Short-Wave InfraRed (SWIR) region is most suitable for the detection of CO2 emission sources. we used a $2.0 \mu \mathrm{m}$ absorption band for CO2 plum detection. This paper describes the Continuum Interpolated Band Ratio (CIBR) method for measurement of CO2 concentration in the atmosphere which is emitted by TPP.
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