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1000 Titel
  • Understanding flow characteristics from tsunami deposits at Odaka, Joban Coast, using a deep neural network (DNN) inverse model
1000 Autor/in
  1. Mitra, Rimali |
  2. Naruse, Hajime |
  3. Abe, Tomoya |
1000 Verlag
  • Copernicus Publications
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-02-08
1000 Erschienen in
1000 Quellenangabe
  • 24(2):429-444
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/nhess-24-429-2024 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:p>Abstract. The 2011 Tohoku-oki tsunami inundated the Joban coastal area in the Odaka region of the city of Minamisoma, up to 2818 m from the shoreline. In this study, the flow characteristics of the tsunami were reconstructed from deposits using the DNN (deep neural network) inverse model, suggesting that the tsunami inundation occurred in the Froude supercritical condition. The DNN inverse model effectively estimated the tsunami flow parameters in the Odaka region, including the maximum inundation distance, flow velocity, maximum flow depth, and sediment concentration. Despite having a few topographical anthropogenic undulations that caused the inundation height to fluctuate greatly, the reconstructed maximum flow depth and flow velocity were reasonable and close to the values reported in the field observations. The reconstructed data around the Odaka region were characterized by an extremely high velocity (12.1 m s−1). This study suggests that the large fluctuation in flow depths on the Joban Coast compared with the stable flow depths in the Sendai Plain can be explained by the inundation in the supercritical flow condition. </jats:p>
1000 Liste der Beteiligten
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1000 Förderer
  1. Japan Society for the Promotion of Science |
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1000 Dateien
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    1000 Förderer Japan Society for the Promotion of Science |
    1000 Förderprogramm -
    1000 Fördernummer -
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1000 Erstellt am 2024-05-23T16:37:45.076+0200
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1000 Zuletzt bearbeitet 2024-05-27T10:45:38.209+0200
1000 Objekt bearb. Mon May 27 10:45:38 CEST 2024
1000 Vgl. frl:6480755
1000 Oai Id
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