Finite Element Models of Elastic Volcano Deformation

T. Masterlark, S. Tung
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引用次数: 4

Abstract

The migration of magma within a volcano produces a deformation signature at the Earth’s surface. Inverse models of geodetic data estimate parameters that characterize the magma migration. These characterizations are tied to the specific model that relates migration to the observed deformation. A model is a simplified representation of a natural system. A modeler is tasked with the challenge of designing a model that represents the system, in the context of the available data and purpose of the model. This chapter presents a systematic approach to quantitatively simulate geodetic data with finite element models (FEMs) in the framework of a deformation modeling protocol. This chapter will (1) address the design and execution of FEMs that can account for the geophysical complexity of a volcano deformational system and (2) define techniques for including FEMs in both linear and nonlinear inverse methods to characterize a magmatic system based on observed geodetic data. With these techniques, researchers can estimate magmatic migration within active volcanoes and understand how uncertainties in the data propagate into predictions. These estimates comprise some measure of central tendency, a sense of uncertainty, and a quantification of biases.
弹性火山变形的有限元模型
火山内岩浆的迁移会在地球表面产生变形信号。大地测量数据反演模型估计表征岩浆迁移的参数。这些特征与将迁移与观测到的变形联系起来的特定模型有关。模型是自然系统的简化表示。建模人员的任务是在可用数据和模型目的的上下文中设计一个代表系统的模型。本章提出了一种在变形建模协议框架下用有限元模型(fem)定量模拟大地测量数据的系统方法。本章将(1)讨论可以解释火山变形系统的地球物理复杂性的fem的设计和执行,(2)定义在线性和非线性逆方法中包括fem的技术,以基于观测到的大地测量数据来表征岩浆系统。利用这些技术,研究人员可以估计活火山内部的岩浆迁移,并了解数据中的不确定性如何传播到预测中。这些估计包括对集中趋势、不确定感和对偏差的量化的一些衡量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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