首页> 外文期刊>Earth and Planetary Science Letters: A Letter Journal Devoted to the Development in Time of the Earth and Planetary System >Ash-plume dynamics and eruption source parameters by infrasound and thermal imagery: The 2010 Eyjafjallaj?kull eruption
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Ash-plume dynamics and eruption source parameters by infrasound and thermal imagery: The 2010 Eyjafjallaj?kull eruption

机译:亚声和热成像显示的烟灰动力学和喷发源参数:2010年艾雅菲亚德拉火山喷发

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During operational ash-cloud forecasting, prediction of ash concentration and total erupted mass directly depends on the determination of mass eruption rate (MER), which is typically inferred from plume height. Uncertainties for plume heights are large, especially for bent-over plumes in which the ascent dynamics are strongly affected by the surrounding wind field. Here we show how uncertainties can be reduced if MER is derived directly from geophysical observations of source dynamics. The combination of infrasound measurements and thermal camera imagery allows for the infrasonic type of source to be constrained (a dipole in this case) and for the plume exit velocity to be calculated (54-142m/s) based on the acoustic signal recorded during the 2010 Eyjafjallaj?kull eruption from 4 to 21 May. Exit velocities are converted into MER using additional information on vent diameter (50±10m) and mixture density (5.4±1.1kg/m~3), resulting in an average ~9×10~5kg/s MER during the considered period of the eruption. We validate our acoustic-derived MER by using independent measurements of plume heights (Icelandic Meteorological Office radar observations). Acoustically derived MER are converted into plume heights using field-based relationships and a 1D radially averaged buoyant plume theory model using a reconstructed total grain size distribution. We conclude that the use of infrasonic monitoring may lead to important understanding of the plume dynamics and allows for real-time determination of eruption source parameters. This could improve substantially the forecasting of volcano-related hazards, with important implications for civil aviation safety.
机译:在进行灰云预报时,对灰分浓度和总喷发质量的预测直接取决于对质量萌发率(MER)的确定,通常从羽流高度推断得出。羽流高度的不确定性很大,尤其是对于弯曲的羽流,其上升动力会受到周围风场的强烈影响。在这里,我们展示了如果MER直接从源动力学的地球物理观测中得出,如何减少不确定性。次声测量和热像仪图像的结合可以限制次声类型的声源(在这种情况下为偶极子),并且可以基于在声场期间记录的声波信号来计算羽流出口速度(54-142m / s)。 2010年5月4日至21日,艾雅菲亚德拉火山爆发。使用有关排气口直径(50±10m)和混合物密度(5.4±1.1kg / m〜3)的附加信息,将出口速度转换为MER,在所考虑的排放期间,平均MER为约9×10〜5kg / s。喷发。我们通过使用独立的羽流高度测量(冰岛气象局雷达观测)来验证源自声的MER。使用基于场的关系和使用重构的总晶粒尺寸分布的一维径向平均浮力羽流理论模型,将声源MER转换为羽流高度。我们得出的结论是,次声监测的使用可能会导致对羽流动力学的重要了解,并允许实时确定喷发源参数。这可以大大改善与火山有关的危害的预测,对民航安全具有重要意义。

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