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Estimates of total ash content from 2006 and 2009 explosion events at Bezymianny volcano with use of a regional atmospheric modeling system

机译:使用区域大气模拟系统估算Bezymianny火山2006年和2009年爆炸事件的总灰分

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摘要

The December 24,2006, and December 16,2009, strong explosion events at Bezymianny Volcano (Kamchatka Peninsula) were accompanied by extensive ash-falls in proximal and medium-distal area (< 100 km) downwind following the direction of prevailing upper tropospheric winds. In the present study, we apply a limited area atmospheric modeling system RAMS6.0 and a lagrangian stochastic model HYPACT1.5 to predict local airflows in a mountain area around the volcano during these events and quantify effects of atmospheric dispersal, gravitational settling, and particle aggregation on the observed ash-fall deposit patterns. It was found that the orography-induced atmospheric disturbances provided first-order influence on ash dispersal regime in the events owing to enhanced turbulence rates in a free troposphere above mountains and low-level airflows generated by meso-scale pressure perturbations. A total mass of ash from these eruptions is inverted based on grain-size sample data and model-calculated Green's function for atmospheric transport with use of a multiple regression approach. We demonstrate that in the absence of precise data on individual and collective settling rates the proposed inversion technique, which explicitly constrains fall velocity spectrum within individual sieve classes and aggregated modes, provides more reliable estimate for total erupted mass compared to procedures employing constant shape factor or prescribed settling rates within the framework of a simple linear regression model.
机译:2006年12月24日和2009年12月16日,Bezymianny火山(堪察加半岛)发生强烈爆炸,并伴随着对流层上风向风的影响,顺风向近端和中偏远地区(<100 km)大量降灰。在本研究中,我们应用有限区域大气建模系统RAMS6.0和拉格朗日随机模型HYPACT1.5来预测这些事件期间火山周围山区的局部气流,并量化大气扩散,重力沉降和颗粒的影响聚集在观察到的落灰沉积模式上。研究发现,由于山上自由对流层的湍流速率增加以及中尺度压力扰动产生的低水平气流,地形学引起的大气扰动在事件中对灰分扩散状态产生了一级影响。这些喷发产生的总灰分基于粒度样本数据和模型计算的格林函数(使用多元回归方法进行大气迁移)进行求逆。我们证明,在缺乏有关单个和集体沉降速率的精确数据的情况下,与采用恒定形状因子或恒定形状因子的程序相比,拟议的反演技术可显着地限制单个筛子类别和聚集模式内的下降速度谱,从而提供了更可靠的总喷发质量估算值在简单线性回归模型的框架内规定的沉降率。

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