THEPORE: A software package for modeling THErmo-PORo-elastic displacements

IF 4.2 2区地球科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers & Geosciences Pub Date : 2024-09-05 DOI:10.1016/j.cageo.2024.105716

Gilda Currenti, Rosalba Napoli, Santina Chiara Stissi

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引用次数: 0

Abstract

THEPORE (THErmo-POro-Elastic solutions) is an open source software to perform forward and inverse modeling of ground displacements induced by thermo-poro-elastic sources. The software, implemented in MATLAB, offers a library of analytical and semi-analytical solutions to compute ground displacements induced by thermo-poro-elastic deformation sources of different geometries, embedded in an elastic, homogeneous and isotropic half-space. The solutions have been verified against finite-element simulations. THEPORE includes also an inversion procedure of the deformation data to constrain the source parameters that better fit the observed signals.

The software's functionality is showcased by inverting the GPS deformation data recorded on Vulcano Island at the onset of the 2021 unrest, in order to estimate the position and volume change of the source responsible for the observed deformations. The results encourage to consider THEPORE as a practical tool suitable for a fast preliminary estimation of the deformation source during a volcanic crisis.

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THEPORE：THErmo-PORo 弹性位移建模软件包

THEPORE （THErmo-POro-Elastic solutions）是一款开源软件，用于对热孔弹性源引起的地面位移进行正向和反向建模。该软件由 MATLAB 实现，提供了一个分析和半分析解决方案库，用于计算嵌入弹性、均质和各向同性半空间的不同几何形状的热孔弹性变形源引起的地面位移。这些解法已经过有限元模拟验证。THEPORE 还包括一个变形数据反演程序，用于约束更适合观测信号的源参数。该软件的功能通过反演 2021 年动乱开始时在火山岛上记录的 GPS 变形数据得以展示，目的是估计造成观测到的变形的源的位置和体积变化。研究结果鼓励将 THEPORE 视为一种实用工具，适合在火山危机期间快速初步估计变形源。

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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来源期刊

Computers & Geosciences 地学-地球科学综合

CiteScore

9.30

自引率

6.80%

发文量

164

审稿时长

3.4 months

期刊介绍： Computers & Geosciences publishes high impact, original research at the interface between Computer Sciences and Geosciences. Publications should apply modern computer science paradigms, whether computational or informatics-based, to address problems in the geosciences.