Evaluation of SO2 emission from Mount Etna using diurnal and nocturnal multispectral IR and visible imaging spectrometer thermal IR remote sensing images and radiative transfer models
Evaluation of SO2 emission from Mount Etna using diurnal and nocturnal multispectral IR and visible imaging spectrometer thermal IR remote sensing images and radiative transfer models
复制标题
使用昼间和夜间多光谱红外和可见光成像光谱仪热红外遥感图像和辐射传输模型评估埃特纳火山的 SO2 排放
DOI：
10.1029/1999jb900099
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发表时间：
1999
影响因子：
--
通讯作者：
A. Sterni
中科院分区：
文献类型：
--
作者：
S. Teggi;M. Bogliolo;M. Buongiorno;S. Pugnaghi;A. Sterni
我们描述了一个利用机载多光谱红外和可见光成像光谱仪(MIVIS)在热红外光谱区获取的图像来评估火山SO2排放的模型。估算程序包括绘制SO2柱含量图和评估火山排放的SO2总通量。所有的大气辐射效应，包括SO2烟羽的发射/吸收，都是由MODTRAN 3.5辐射传输程序计算的。我们将该模型应用于1994年7月24日和25日“西西里-94”遥感活动期间在意大利西西里东海岸埃特纳火山上空拍摄的两幅Mivis图像。6月25日的图像是在夜间拍摄的；这是首次尝试使用夜间热红外图像来估计火山烟柱中的二氧化硫含量。总通量估计从20.9公斤S−1(1810t d−1)到82.2公斤S−1(7100t d−1)不等，具体取决于过程中使用的羽流几何形状。除1例(82.2 kg S−1)外，其余结果与同期收集的相关光谱仪的估计值一致。我们还评估了烟羽几何形状、表面发射率、水蒸气含量和风速等几个参数对结果的依赖性。
We describe a model to evaluate the volcanic SO2 emission using images acquired by the airborne multispectral infrared and visible imaging spectrometer (MIVIS) in the thermal infrared spectral region. The estimating procedure consists of mapping of the SO2 columnar content and evaluation of the total SO2 flux emitted by the volcano. All the atmospheric radiative effects, including the SO2 plume emission/absorption, are computed by the MODTRAN 3.5 radiative transfer code. We apply the model to two MIVIS images acquired over Mount Etna, located on the east coast of Sicily, Italy, during the “Sicilia-94” remote sensing campaign on July 24 and 25, 1994. The June 25 image was acquired during the night; this is the first attempt to estimate the SO2 content in volcanic plume using nocturnal thermal infrared images. The total flux estimates range from 20.9 kg s−1 (1810 t d−1) to 82.2 kg s−1 (7100 t d−1) depending on the plume geometry used in the procedure. These results, except one case (82.2 kg s−1), are in agreement with the estimates derived from correlation spectrometer (COSPEC) measurements collected during the same period. We also evaluate the dependencies of the results on several parameters such as plume geometry, surface emissivity, water vapor content, and wind speed.