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3D multi-source model of elastic volcanic ground deformation

机译:弹性火山地面变形的3D多源模型

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摘要

Developments in Interferometric Synthetic Aperture Radar (InSAR) and GNSS (Global Navigation Satellite System) during the past decades have promoted significant advances in geosciences, providing high-resolution ground deformation data with dense spatio-temporal coverage. This large dataset can be exploited to produce accurate assessments of the primary processes occurring in geologically active areas. We present a new, original methodology to carry out a multi-source inversion of ground deformation data to better understand the subsurface causative processes. A nonlinear approach permits the determination of location, size and three-dimensional configuration, without any a priori assumption as to the number, nature or shape of the potential sources. The proposed method identifies a combination of pressure bodies and different types of dislocation sources (dip-slip, strike-slip and tensile) that represent magmatic sources and other processes such as earthquakes, landslides or groundwater-induced subsidence through the aggregation of elemental cells. This approach has the following features: (1) simultaneous inversion of the deformation components and/or line-of-sight (LOS) data; (2) simultaneous determination of diverse structures such as pressure bodies or dislocation sources, representing local and regional effects; (3) a fully 3D context; and (4) no initial hypothesis about the number, geometry or types of the causative sources is necessary. This methodology is applied to Mt. Etna (Southern Italy). We analyze the ground deformation field derived from a large InSAR dataset acquired during the January 2009 - June 2013 time period. The application of the inversion approach models several interesting buried structures as well as processes related to the volcano magmatic plumbing system, local subsidence within the Valle del Bove and seaward motion of eastern flank of the volcano. (C) 2020 Elsevier B.V. All rights reserved.
机译:在过去几十年中的合成孔径雷达干涉测量(InSAR)和GNSS(全球导航卫星系统)的发展已经在地球科学促进显著的进步,提供高分辨率的地面变形数据密集的时空覆盖。这个大的数据集可被利用,以产生在地质有源区发生的主要过程的准确评估。我们提出了一个新的,原来的方法来进行地面变形数据的多源反转,以便更好地了解地下的致病过程。非线性方法允许位置,尺寸和三维构型的确定,但这并不对的潜在源的数量,性质或形状的任何先验假设。通过元素细胞的聚集所提出的方法识别压力机构和不同类型的代表岩浆源和其它工艺如地震,滑坡或错位源(倾滑,走滑和拉伸的组合)地下水引起的下陷。这种方法具有以下特征:(1)变形的组件和/或线的视距(LOS)数据的同时倒置; (2)不同的结构,例如压力机构或错位源,代表本地和区域效果的同时测定; (3)完全3D上下文;和(4)大约的致病源的数量,几何形状或类型不最初的假设是必要的。这种方法适用于埃特纳火山(意大利南部)。我们分析了从2009年一月期间获得了大量的InSAR数据集得到的地面形变场 - 2013年6月的时间。反演方法模型的应用几个有趣的地下结构以及相关的火山岩浆管道系统进程,巴耶 - 德尔Bove内的局部沉降和火山东侧的向海运动。 (c)2020 Elsevier B.v.保留所有权利。

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