Abstract

SummaryWe test an innovative inversion scheme using Green's functions from an array of pressure sources embedded in finite-element method (FEM) models to image, without assuming an a-priori geometry, the composite and complex shape of a volcano deformation source. We invert interferometric synthetic aperture radar (InSAR) data to estimate the pressurization and shape of the magma reservoir of Rabaul caldera, Papua New Guinea. The results image the extended shallow magmatic system responsible for a broad and long-term subsidence of the caldera between 2007 February and 2010 December. Elastic FEM solutions are integrated into the regularized linear inversion of InSAR data of volcano surface displacements in order to obtain a 3-D image of the source of deformation. The Green's function matrix is constructed from a library of forward line-of-sight displacement solutions for a grid of cubic elementary deformation sources. Each source is sequentially generated by removing the corresponding cubic elements from a common meshed domain and simulating the injection of a fluid mass flux into the cavity, which results in a pressurization and volumetric change of the fluid-filled cavity. The use of a single mesh for the generation of all FEM models avoids the computationally expensive process of non-linear inversion and remeshing a variable geometry domain. Without assuming an a-priori source geometry other than the configuration of the 3-D grid that generates the library of Green's functions, the geodetic data dictate the geometry of the magma reservoir as a 3-D distribution of pressure (or flux of magma) within the source array. The inversion of InSAR data of Rabaul caldera shows a distribution of interconnected sources forming an amorphous, shallow magmatic system elongated under two opposite sides of the caldera. The marginal areas at the sides of the imaged magmatic system are the possible feeding reservoirs of the ongoing Tavurvur volcano eruption of andesitic products on the east side and of the past Vulcan volcano eruptions of more evolved materials on the west side. The interconnection and spatial distributions of sources correspond to the petrography of the volcanic products described in the literature and to the dynamics of the single and twin eruptions that characterize the caldera. The ability to image the complex geometry of deformation sources in both space and time can improve our ability to monitor active volcanoes, widen our understanding of the dynamics of active volcanic systems and improve the predictions of eruptions.

Highlights

  • A significant challenge in assessments of volcano hazards is the accurate imaging of deformation sources, which represent magma migration and storage in both space and time

  • Because one goal of this study is the understanding of the extended shallow magmatic system responsible for the broad and long-term subsidence, we investigate the Line of sight (LOS) mean velocities over the entire time period of SAR acquisition (Fig. 1a), assuming that this period is long enough to record the response of the entire magma reservoir to a long, almost continuous magma withdrawal due to the Tavurvur eruptions

  • By performing the inversion using the value of β at the knee of the curve (Fig. 4a), we identify a weighted least-squares damped (WLSD) inversion for solutions that is a good compromise between fitting the data versus minimizing the solution roughness and satisfying the boundary conditions

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Summary

Introduction

A significant challenge in assessments of volcano hazards is the accurate imaging of deformation sources, which represent magma migration and storage in both space and time. Parameters that describe the source (e.g. strength and geometric parameters) can be estimated, through inverse modeling, by comparing the observed natural system response (e.g. surface displacement) to the one predicted by a mathematical forward model of the source. The reliability of these models is customarily based on the goodness of predictions for a given set of available information, such as an interferometric synthetic aperture radar (InSAR) image

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