Japan Geoscience Union Meeting 2025

Presentation information

[J] Poster

S (Solid Earth Sciences ) » S-TT Technology & Techniques

[S-TT39] Airborne surveys and monitoring of the Earth

Mon. May 26, 2025 5:15 PM - 7:15 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

convener:Takao Koyama(Earthquake Research Institute, The University of Tokyo), Shigekazu Kusumoto(Institute for Geothermal Sciences, Graduate School of Science, Kyoto University), Yuji Mitsuhata(AdvancedIndustrial Science and Technology), Takumi Ueda(Waseda University)

5:15 PM - 7:15 PM

[STT39-P04] New Time-Lapse Inversion Method Using Structural Coupling

*Ryosuke Ito1, Mitsuru Utsugi1 (1.Kyoto University)

Keywords:Time-lapse Inversion, Structural Coupling

In recent years, advancements in observation technologies, including UAV-based surveys, have facilitated repeated observations of electromagnetic data for structural monitoring of volcanoes and geothermal areas. These repeated observations have been utilized for time-lapse inversion of magnetization and resistivity structures (e.g., Minami et al., 2018; Bretaudeau et al., 2021). Traditional studies have mainly employed time-lapse inversion approaches such as parallel inversion, where model estimation is performed separately for each observation time. However, these approaches have been pointed out to have issues, including the susceptibility to apparent temporal changes and the unrobustness of differences in observation layouts (e.g., Kim et al., 2009; Calouris et al., 2011).

To address these issues, we propose a time-lapse inversion method that imposes structural coupling constraints in the time domain. Model calculations demonstrate that the proposed method is robust against changes in observation layout and effectively suppresses the detection of apparent temporal changes. Furthermore, we explore the feasibility of structural monitoring by integrating continuous observation data with repeated observation data. In this presentation, we will introduce these results and discuss the applicability of our approach to real-field observations.