第II部門

流出・氾濫(1)

Thu. Sep 9, 2021 1:00 PM - 2:20 PM II-2 (Room8)

Chair: Masahide Ishizuka

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[II-54] Arrangement of deep learning exapmles applied to dam inflow prediction and others

〇Masazumi Amakata¹, Akira Ishii¹, Toshiyuki Miyazaki¹ (1.YACHIYO ENGINEERING)

[II-55] One factor of the decrease in prediction accuracy of the dam inflow prediction model

〇Akira Ishii Ishii¹, Masazumi Amakata¹, Takato Yasuno¹, Toshiyuki Miyazaki¹, Takashi Miyamoto² (1.Yachiyo Engineering Co., Ltd., 2.Yamanashi University)

[II-56] Examination of the effect of prior discharge from the Okochi dam during floods on the water level of the Tama River

〇Yumi Shimbo¹, Saki Nonaka¹, Kazuki Suzuki¹, Masahiro Tanaka¹, Yasuo Nihei² (1.KAJIMA CORPORATION, 2.TOKYO UNIVERSITY OF SCIENCE)

[II-57] Study on the Impact of Rainfall Patterns on Flooding Magnitude

〇Saki Nonaka¹, Kazuki Suzuki¹, Yumi Shimbo¹, Masahiro Tanaka¹, Yasuo Nihei² (1.Kajima Corporation, 2.Tokyo University of Science)

[II-58] Efforts for inundation measures based on basin and topographical characteristics

〇Kanematsu Yuji¹, Kawazoe Masaki¹, Endo Nobuyuki¹, Yamada Keiichiro¹ (1.Central Consultant)

[II-59] Use of deep learning for the advancement of water level prediction on small and medium-sized rivers

〇Daichi Fukumaru¹, Yoshihisa Akamatsu¹, Tetsuya Shintani², Haruka Hujii¹ (1.Graduate School of Science and Technology for Innovation, Yamaguchi University, 2.Tokyo Metropolitan University Civil and Environmental Engineering)

[II-60] Examination of Flood and Vehicle Drift Situation at the Occurrence of In-Vehicle Death Based on Two-Dimentional Flood Calculation

〇Nozomi yusa¹ (1.Tokyo Univercity of Science)

[II-61] Flood prediction of the melting snow period using AMeDAs observation by the machine learning

〇GO OHNO¹, Yuichi Nagano¹, Yuriko Takayama¹, Kazunori Ito¹ (1.TaiseiCorporation)

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