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首页> 外文期刊>Journal of Volcanology and Geothermal Research2012V243-244NOCT,15 >Magmatic inflation in 2008-2010 at Mt. Fuji, Japan, inferred from sparsity-promoting L1 inversion of GNSS data
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Magmatic inflation in 2008-2010 at Mt. Fuji, Japan, inferred from sparsity-promoting L1 inversion of GNSS data

机译:2008年至2010年的山岩性通货膨胀。日本富士,从稀疏性增强GNSS数据的L1反演中推断

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摘要

Mt. Fuji, the tallest volcano in Japan, has not erupted since the Plinian eruption in 1707, but its volcanic activity has not finished. Here, using GNSS (Global Navigation Satellite System) time-series data, we investigate an inflation event of Mt. Fuji in 2008-2010. Referring to recent studies of igneous processes, we focus on "vertically-extensive" magma systems and estimate depth distribution of geodetic inflation. sources. A sparsity-promoting L1 regularization algorithm for inversion analysis allows us to improve performance of data fitting. Our result shows that the inflation sources were mainly distributed in a depth range from 20 km to 15 km, and the total volume change was on the order of 0.01 cubic kilometers (approximately a sphere of radius 100 m). The 15 km depth may correspond to the upper boundary of partial melt of basaltic magma. Our sparsity-promoting method is useful to constrain magma movement from limited observation data. (C) 2019 Elsevier B.V. All rights reserved.
机译:公吨。自1707年普林尼埃火山喷发以来,日本最高的火山富士一直未爆发,但其火山活动尚未结束。在这里,我们使用GNSS(全球导航卫星系统)时间序列数据,调查了Mt的膨胀事件。富士在2008-2010年。参照对火成过程的最新研究,我们将重点放在“垂直扩展”的岩浆系统上,并估计大地膨胀的深度分布。资料来源。用于反演分析的稀疏度提升L1正则化算法使我们能够提高数据拟合的性能。我们的结果表明,膨胀源主要分布在20 km至15 km的深度范围内,总体积变化约为0.01立方公里(大约半径为100 m的球体)。 15 km的深度可能对应于玄武岩浆的部分融化的上限。我们的稀疏度增强方法可用于从有限的观测数据中限制岩浆运动。 (C)2019 Elsevier B.V.保留所有权利。

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