特集号「地球科学とデータ科学に基づく津波堆積物研究の進展と津波防災への貢献(Part II)─津波堆積物に対する新しい分析方法とデータプロセッシング─」巻頭言
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Published in | 地学雑誌 Vol. 132; no. 5; pp. 365 - 366 |
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Main Authors | , , |
Format | Journal Article |
Language | Japanese |
Published |
公益社団法人 東京地学協会
25.10.2023
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Online Access | Get full text |
ISSN | 0022-135X 1884-0884 |
DOI | 10.5026/jgeography.132.365 |
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Author | 土屋, 範芳 駒井, 武 中村, 謙吾 |
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References | Tsuchiya, N., Komai, T. and Nakamura, K. (2023): Preface of the special issue “Progress of Earth and data sciences research into tsunami deposits, and contribution to tsunami disaster prevention (part I): Paleoevironmental analysis and disaster prevention education using tsunami deposits”. Journal of Geography (Chigaku Zasshi), 132, 269-273. Watanabe, T., Yamamoto, Y. and Kitamura, A. (2023): Simple and rapid method for geochemically discriminating of Paleotsunami deposits using a portable X-ray fluorescence spectrometry system: Application to boring cores from the Shizuoka plain on the Pacific coast of central Japan. Journal of Geography (Chigaku Zasshi), 132, 417-437. Sato, S., Komai, T., Nakamura, K. and Watanabe, N. (2023): Machine learning-based geochemical discrimination method for tsunami deposits and a simple determination system. Journal of Geography (Chigaku Zasshi), 132, 385-402. Kuwatani, T., Sakai, T., Nakamura, K. and Komai, T. (2023): Statistical correlation for geological layers using XRF core scan data: Proof of concept in application to tsunami deposits. Journal of Geography (Chigaku Zasshi), 132, 367-384. Nakamura, K., Kuwatani, T. and Komai, T. (2023): Estimating layer boundaries of mixed-layer tsunami deposits with a XRF core scanner. Journal of Geography (Chigaku Zasshi), 132, 403-415. |
References_xml | – reference: Sato, S., Komai, T., Nakamura, K. and Watanabe, N. (2023): Machine learning-based geochemical discrimination method for tsunami deposits and a simple determination system. Journal of Geography (Chigaku Zasshi), 132, 385-402. – reference: Nakamura, K., Kuwatani, T. and Komai, T. (2023): Estimating layer boundaries of mixed-layer tsunami deposits with a XRF core scanner. Journal of Geography (Chigaku Zasshi), 132, 403-415. – reference: Watanabe, T., Yamamoto, Y. and Kitamura, A. (2023): Simple and rapid method for geochemically discriminating of Paleotsunami deposits using a portable X-ray fluorescence spectrometry system: Application to boring cores from the Shizuoka plain on the Pacific coast of central Japan. Journal of Geography (Chigaku Zasshi), 132, 417-437. – reference: Kuwatani, T., Sakai, T., Nakamura, K. and Komai, T. (2023): Statistical correlation for geological layers using XRF core scan data: Proof of concept in application to tsunami deposits. Journal of Geography (Chigaku Zasshi), 132, 367-384. – reference: Tsuchiya, N., Komai, T. and Nakamura, K. (2023): Preface of the special issue “Progress of Earth and data sciences research into tsunami deposits, and contribution to tsunami disaster prevention (part I): Paleoevironmental analysis and disaster prevention education using tsunami deposits”. Journal of Geography (Chigaku Zasshi), 132, 269-273. |
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Title | 特集号「地球科学とデータ科学に基づく津波堆積物研究の進展と津波防災への貢献(Part II)─津波堆積物に対する新しい分析方法とデータプロセッシング─」巻頭言 |
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