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J-GLOBAL ID：202101011809303298 Update date: Feb. 06, 2025

Ooi Masahiro

オオイマサヒロ | Ooi Masahiro

Affiliation and department：
Research theme for competitive and other funds (2)：

2016 - 2017 General study on the 2016 Kumamoto earthquake and related activities
2015 - 2017 Development of a disaster risk index for contributing to restructuring national land use.

Papers (14)：

吉岡薫, 五十嵐光嗣, 潮崎翔一, 竹内織洋, 高橋成実, 大井昌弘, 浅尾一已. システムを活用した千葉県の地震・津波防災対策. 日本地震工学会会誌. 2024. 51. 10-13
UCHIDA Jun, OI Masahiro, OUCHI Yoshiya, MOTOHASHI Keizo. Development of Seismic Intensity Meters Equipped with MEMS Acceleration Sensors. 2023. 23. 2. 58-70
Applicability of 3D grid modelling for urban subsurface grounds. Journal of JGS. 2022. 70. 5. 14-18
KUBO Tomohiro, SUZUKI Wataru, OOI Masahiro, TAKAHASHI Narumi, ASAO Kazumi, YOSHIOKA Kaoru. Study on Conducting Tabletop Exercise to Respond a Major Tsunami Disaster for Local Governments. Journal of Japan Association for Earthquake Engineering. 2020. 20. 7. 7_158-7_176
Tomohiro Kubo, Wataru Suzuki, Masahiro Ooi, Narumi Takahashi, Kazumi Asao, Kaoru Yoshioka. Application of a Real-Time Tsunami Forecast System to the Disaster Response of Local Governments during a Major Tsunami Disaster. Geosciences. 2019. 9. 2. 102-102

MISC (11)：

大井昌弘. 3Dモデルを活用し、災害に強いまちづくりへ. SOCIAL INNOVATION NEWS. 2020. 7. 12-15
久保智弘, 鈴木亘, 大井昌弘, 高橋成実. 7408 津波予測情報を活用した津波災害対応の確立. 都市計画. 2018. 2018. 881-882
先名重樹, 森川信之, 河合伸一, 大井昌弘, 藤原広行. 千葉県における常時微動観測によるS波速度構造モデルの推定. 日本地震学会秋季大会講演予稿集. 2010. 2010
先名重樹, 神薫, 宮本賢治, 佐藤仙一, 須崎敦史, 森川信之, 河合伸一, 大井昌弘, 藤原広行. 千葉県における常時微動観測による地震動のスペクトル増幅率の推定. 物理探査学会学術講演会講演論文集. 2009. 121st
藤原広行, 河合伸一, 青井真, 森川信之, 先名重樹, 大井昌弘, 早川譲, 遠山信彦, 松山尚典, 岩本鋼司, et al. 内陸地震の強震動評価のための全国深部地盤速度構造モデル. 日本地震学会秋季大会講演予稿集. 2008. 2008

Lectures and oral presentations (7)：

Development of Tsunami Evacuation Training System
(2023)
【関東大震災から100年】特別講座~地震について考える~
(千葉県防災研修センターの防災研修 2023)
Tsunami evacuation drill using Tsunami Inundation Prediction system and VR
(Japan Geoscience Union Meeting 2023 2023)
Reatime Tsunami Inundation Prediction System using S-net data for Chiba Prefecture
(2022)
Realtime Earthquake Damage Prediction System for Chiba Prefecture
(2022)

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