Tsunami Simulation Method Assimilating Ocean Bottom Pressure Data Near a Tsunami Source Region

被引:25
|
作者
Tanioka, Yuichiro [1 ]
机构
[1] Hokkaido Univ, Inst Seismol & Volcanol, Sapporo, Hokkaido, Japan
关键词
Tsunami numerical simulation; dense pressure sensors network; tsunami forecast; 2011 TOHOKU EARTHQUAKE;
D O I
10.1007/s00024-017-1697-5
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
A new method was developed to reproduce the tsunami height distribution in and around the source area, at a certain time, from a large number of ocean bottom pressure sensors, without information on an earthquake source. A dense cabled observation network called S-NET, which consists of 150 ocean bottom pressure sensors, was installed recently along a wide portion of the seafloor off Kanto, Tohoku, and Hokkaido in Japan. However, in the source area, the ocean bottom pressure sensors cannot observe directly an initial ocean surface displacement. Therefore, we developed the new method. The method was tested and functioned well for a synthetic tsunami from a simple rectangular fault with an ocean bottom pressure sensor network using 10 arc-min, or 20 km, intervals. For a test case that is more realistic, ocean bottom pressure sensors with 15 arc-min intervals along the north-south direction and sensors with 30 arc-min intervals along the east-west direction were used. In the test case, the method also functioned well enough to reproduce the tsunami height field in general. These results indicated that the method could be used for tsunami early warning by estimating the tsunami height field just after a great earthquake without the need for earthquake source information.
引用
收藏
页码:721 / 729
页数:9
相关论文
共 50 条
  • [1] Tsunami Simulation Method Assimilating Ocean Bottom Pressure Data Near a Tsunami Source Region
    Yuichiro Tanioka
    [J]. Pure and Applied Geophysics, 2018, 175 : 721 - 729
  • [2] Near-field tsunami inundation forecast method assimilating ocean bottom pressure data: A synthetic test for the 2011 Tohoku-oki tsunami
    Tanioka, Yuichiro
    Gusman, Aditya Riadi
    [J]. PHYSICS OF THE EARTH AND PLANETARY INTERIORS, 2018, 283 : 82 - 91
  • [3] Near-field tsunami forecasting from cabled ocean bottom pressure data
    Tsushima, Hiroaki
    Hino, Ryota
    Fujimoto, Hiromi
    Tanioka, Yuichiro
    Imamura, Fumihiko
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2009, 114
  • [4] On the near-bottom pressure variations in the region of the 2003 Tokachi-Oki tsunami source
    M. A. Nosov
    S. V. Kolesov
    A. V. Denisova
    A. B. Alekseev
    B. V. Levin
    [J]. Oceanology, 2007, 47 : 26 - 32
  • [5] On the near-bottom pressure variations in the region of the 2003 Tokachi-Oki tsunami source
    Nosov, M. A.
    Kolesov, S. V.
    Denisova, A. V.
    Alekseev, A. B.
    Levin, B. V.
    [J]. OCEANOLOGY, 2007, 47 (01) : 26 - 32
  • [6] Tsunami Data Assimilation of Cabled Ocean Bottom Pressure Records for the 2015 Torishima Volcanic Tsunami Earthquake
    Wang, Y.
    Satak, K.
    Sandanbata, O.
    Maeda, T.
    Su, H.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2019, 124 (10) : 10413 - 10422
  • [7] Data acquisition and processing at ocean bottom for a Tsunami warning system
    Sreelal, S.
    Jose, Smitha
    Varghese, Bibin
    Suma, M. N.
    Sumathi, R.
    Lakshminarayana, M.
    Nayak, M. M.
    [J]. MEASUREMENT, 2014, 47 : 475 - 482
  • [8] Application of cabled offshore ocean bottom tsunami gauge data for real-time tsunami forecasting
    Tsushima, Hiroaki
    Hino, Ryota
    Fujimoto, Hiromi
    Tanioka, Yuichiro
    [J]. 2007 SYMPOSIUM ON UNDERWATER TECHNOLOGY AND WORKSHOP ON SCIENTIFIC USE OF SUBMARINE CABLES AND RELATED TECHNOLOGIES, VOLS 1 AND 2, 2007, : 612 - +
  • [9] TSUNAMI SOURCE REGION PARAMETER IDENTIFICATION AND TSUNAMI FORECASTING
    Liu, Philip L. -F.
    Wang, Xiaoming
    [J]. JOURNAL OF EARTHQUAKE AND TSUNAMI, 2008, 2 (02) : 87 - 106
  • [10] Tsunami magnitudes determined from ocean-bottom pressure gauge data around Japan
    Baba, T
    Hirata, K
    Kaneda, Y
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2004, 31 (08) : L083031 - 4