11月中旬よりオクラホマ大学の仲田典弘先生が、防災研究所に滞在されます。
つきましては、以下の様なセミナー開催を予定しておりますので、興味のある方はお越し下さい。
日時：11月17日(金) 10:30am--12:00pm
場所：S-519D 防災研究所大会議室
講演者：仲田典弘先生（オクラホマ大学）
タイトル：Data-driven seismic characterization of structures
地震波データに基づいた構造特性の推定
Abstract： Earth's seismic structure is heterogeneous at all scales, and mapping that heterogeneity directly contributes to the accuracy of understanding subsurface geology and geodynamics, and simulating linear path effects for ground motion prediction. The recent increase of the number of seismic sensors and their deployment time interval provides us a unique opportunity to understand the seismic characterization of structures in 3D and 4D based on the observed data. Here, I demonstrate that very dense receiver networks can be used for subsurface velocity imaging with high spatial resolution and that continuous observation can be used for the estimation of time-lapse changes of seismic velocities related to strong motion and environmental parameters. In addition to the structural information, such datasets can be used for studying earthquake sources especially for small earthquakes, which are useful to understand the stress condition. I will
仲田先生は「構造の時間変化」を捉える研究において世界的に活躍されており、既に地震、火山、建築の分野で実績がありますが、土木、地すべり等の分野にも適用可能であり、応用範囲が広いため、多くの方にとって興味をお持ち頂ける研究です。
We will have a special seminar by Prof. Nakata from Univ. Oklahoma, who will have
a short-stay in DPRI from the middle of this month.
Date: November 17 (Fri)
Time: 10:30am–12:00pm
Place: S-519D DPRI Meeting room
Speaker: Assitant Professor Nori Nakata (Univ. Oklahoma)
Title: Data-driven seismic characterization of structures
Abstract：
Earth’s seismic structure is heterogeneous at all scales, and mapping that heterogeneity directly contributes to the accuracy of understanding subsurface geology and geodynamics, and simulating linear path effects for ground motion prediction. The recent increase of the number of seismic sensors and their deployment time interval provides us a unique opportunity to understand the seismic characterization of structures in 3D and 4D based on the observed data. Here, I demonstrate that very dense receiver networks can be used for subsurface velocity imaging with high spatial resolution and that continuous
observation can be used for the estimation of time-lapse changes of seismic velocities related to strong motion and environmental parameters. In addition to the structural information, such datasets can be used for studying earthquake sources especially for small earthquakes, which are useful to understand the stress condition. I will
Prof. Nakata is very active in a research filed of monitoring of structures,
or temporal changes of structures, and its method is applicable to
seismology, volcanology, civil engennering, landslide, and maybe more.
So many may be interested in his talk.
© Research Center for Earthquake Hazards.
© Research Center for Earthquake Hazards.
