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首页> 外文期刊>Journal of geophysical research. Solid earth: JGR >Novel inversion approach to constrain plume sedimentation from tephra deposit data: Application to the 17 June 1996 eruption of Ruapehu volcano, New Zealand
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Novel inversion approach to constrain plume sedimentation from tephra deposit data: Application to the 17 June 1996 eruption of Ruapehu volcano, New Zealand

机译:新的反演方法,以限制特非拉沉积物数据中的羽状沉积:应用于新西兰鲁阿佩胡火山1996年6月17日的喷发

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摘要

We introduce a new inversion approach to constrain eruption source parameters and the distribution of tephra sedimentation from a weak plume. Our model is parameterized as a set of point sources along the plume base, whose trajectory is constrained by satellite and photographic images. Each point source releases tephra that is dispersed according to an advection-diffusion equation. This dispersion process is expressed as a system of linear equations with nonlinear dependence on diffusivity and wind speed. We employ inversion techniques to estimate the tephra mass released by each point source as well as diffusivity, stabilizing the inversion by regularization. We apply our method to the Ruapehu eruption on 17 June, 1996 in New Zealand, which was characterized by a strongly wind-advected plume that can be studied via tephra isomass measurements and particle size distributions at 119 locations. We demonstrate that the approach is feasible by performing analyses with real and synthetic data at a single grain size, and gain insight into the effects of data gaps, presence of noise, and nonlinear parameters on the inversion results. The best fit value of diffusivity yields tephra fallout that decreases steadily with distance to vent, and the predicted deposit is a good fit to the field measurements. This study illustrates the potential of a direct inversion approach to constrain diffusivity, as well as to recover the tephra fallout, without assuming a physical model for mass transport inside the plume.
机译:我们引入了一种新的反演方法来约束喷发源参数和弱羽状流中特非拉沉积的分布。我们的模型被参数化为沿羽根的一组点源,其轨迹受到卫星和摄影图像的约束。每个点源都会释放根据对流扩散方程式分散的提夫拉。该分散过程表示为线性方程组,其线性依赖于扩散率和风速。我们采用反演技术来估计每个点源释放的提夫拉质量以及扩散率,通过正则化来稳定反演。我们将我们的方法应用于1996年6月17日在新西兰的Ruapehu火山喷发,该火山喷发的特征是强烈的风向羽流,可以通过119个地点的特菲拉等渗线测量和粒径分布进行研究。我们证明了该方法是可行的,方法是对单个晶粒上的真实和合成数据进行分析,并深入了解数据缺口,噪声的存在和非线性参数对反演结果的影响。扩散系数的最佳拟合值会产生特菲拉尘埃,其随出气口距离的增加而稳步下降,并且预测的沉积物非常适合现场测量。这项研究说明了直接反演方法潜在的限制扩散性以及恢复特菲拉沉降的潜力,而无需假设在烟羽内部进行质量传输的物理模型。

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