Development of upconversion technique for subsurface structure modeling based on large amounts of data using multi-array microtremors

2023 Fiscal Year Final Research Report

• Project/Area Number: 21H01588
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Basic Section 25030:Disaster prevention engineering-related
• Research Institution: Kagawa University
• Principal Investigator: Chimoto Kosuke 香川大学, 創造工学部, 准教授 (40713409)
• Co-Investigator(Kenkyū-buntansha): 山中 浩明 東京工業大学, 環境・社会理工学院, 教授 (00212291)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: 地下構造モデル / マルチアレイ微動 / 地震波干渉法

Outline of Final Research Achievements

To improve subsurface structure models which are required for the earthquake ground motion prediction, we developed an model upconversion technique which estimates the subsurface structure velocity change from large amount of microtremor and seismic observation data. We demonstrated the feasibility of a novel technique to estimate subsurface velocity structure model that exploits the existing seismic records to estimate the seismic velocity structure with high density and accuracy, and those structures were interpolated by capturing the spatial elastic wave velocity change by measuring a large amount of data from multi-array microtremor observations.

Free Research Field

防災工学

Academic Significance and Societal Importance of the Research Achievements

地震動予測のため、適切な地下構造モデルを作成することは重要であるが、現在のモデルには改良の必要性があることがわかってきている。そこでこれまでとは異なり、地下構造に依存する関数の変化量を捉え、モデルの変化量を推定する新しいモデル化手法を開発した。安価ながらも反射法地震探査による反射断面と類似した地下構造モデルを推定することができたことは、この手法の適用可能性が高いことを示した。