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Optical flow gas velocity analysis in plumes using UV cameras – Implications for SO2-emission-rate retrievals investigated at Mt. Etna, Italy, and Guallatiri, Chile

机译:使用紫外热像仪对烟羽中的光流气体速度进行分析–对Mt研究的SO2排放速率取值的意义。意大利的埃特纳火山和智利的瓜拉提里

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摘要

Accurate gas velocity measurements in emission plumes are highly desirable for various atmospheric remote sensing applications. The imaging technique of UV SO cameras is commonly used for monitoring of SO emissions from volcanoes and anthropogenic sources (e.g. power plants, ships). The camera systems capture the emission plumes at high spatial and temporal resolution. This allows to retrieve the gas velocities in the plume directly from the images. The latter can be measured at a pixel level using optical flow (OF) algorithms. This is particularly advantageous under turbulent plume conditions. However, OF algorithms intrinsically rely on contrast in the images and often fail to detect motion in low-contrast image areas. We present a new method to identify ill-constraint OF motion-vectors and replace them using the local average velocity vector. The latter is derived based on histograms of the retrieved OF motion-fields. The new method is applied to two example datasets recorded at Mt. Etna (Italy) and Guallatiri (Chile). We show that in many cases, the uncorrected OF yields significantly underestimated SO-emission-rates. We further show, that our proposed correction can account for this and that it significantly improves the reliability of optical flow based gas velocity retrievals. In the case of Mt. Etna, the SO emissions of the north-east crater are investigated. The corrected SO-emission-rates range between 4.8–10.7 kg/s (average: 7.1 ± 1.3 kg/s) and are in good agreement with previously reported values. For the Guallatiri data, the emissions of the central crater and a fumarolic field are investigated. The retrieved SO-emission-rates are between 0.5–2.9 kg/s (average: 1.3–0.5 kg/s) and provide the first report of SO emissions from this remotely located and inaccessible volcano.
机译:对于各种大气遥感应用,非常需要在排放羽流中进行准确的气体速度测量。 UV SO摄像机的成像技术通常用于监视火山和人为源(例如发电厂,轮船)的SO排放。摄像机系统以高空间和时间分辨率捕获排放羽流。这允许直接从图像中检索羽流中的气体速度。后者可以使用光流(OF)算法在像素级别进行测量。这在湍流羽流条件下特别有利。然而,OF算法本质上依赖于图像中的对比度,并且常常无法检测到低对比度图像区域中的运动。我们提出了一种新的方法来识别运动矢量的不良约束,并使用局部平均速度矢量替换它们。后者是基于检索到的OF运动场的直方图得出的。将该新方法应用于在Mt记录的两个示例数据集。埃特纳(意大利)和瓜拉提里(智利)。我们表明,在许多情况下,未经校正的OF产量会大大低估SO排放率。我们进一步表明,我们提出的校正可以解决这个问题,并且可以显着提高基于光流的气体速度检索的可靠性。在山。东北火山口的SO排放量Etna进行了调查。校正后的SO排放速率介于4.8-10.7 kg / s(平均:7.1 pm; 1.3 kg / s)之间,与先前报告的值非常一致。对于Guallatiri数据,研究了中央火山口和富马场的排放。取回的SO排放速率介于0.5-2.9 kg / s(平均:1.3-0.5 kg / s)之间,并提供了该偏远且难以接近的火山的SO排放的第一份报告。

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