第66回水工学講演会
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Session Details

一般セッション(口頭講演)Oral_Session_2

[S08]Flood and Inundation Predictions

Wed. Dec 8, 2021 10:00 AM - 12:00 PM JST
Wed. Dec 8, 2021 1:00 AM - 3:00 AM UTC
Room2 Zoom_R2
Chair:TAKAHIRO SAYAMA Chair2:DAIKI KAKINUMA
10:00 AM - 10:15 AM JST(1:00 AM - 1:15 AM UTC)

[50]FLOOD RISK PROBABILITY PREDICTION USING A RAINFALL INDEX EQUIVALENT WARNING LEVEL 4 FOR EACH RIVER SYSTEM

*Takehiko Ito1, Koyo Ota1, Yasuo Nihei1 (1. Tokyo University of Science)
10:15 AM - 10:30 AM JST(1:15 AM - 1:30 AM UTC)

[51]STUDY ON THE APPLICABILITY OF FLOOD PREDICTING METHOD TO SUBSTANTIAL RIVERS ON SPRING SNOWMENT PERIOD USING METEOROLOGICAL DISTRIBUTION IMAGES

*Go Ohno1, Yuriko Takayama1, Kazunori Ito1 (1. TAISEI CORPORATION)
10:30 AM - 10:45 AM JST(1:30 AM - 1:45 AM UTC)

[52]SNOWMELT FLOOD FORECASTING IN THE YONESHIRO RIVER USING SNOWMELT MODEL AND PARTICLE FILTER

*Shoichi Kurosawa1, Kenichiro Fukushima1, Yuriko Umehara1, Takashi Yoshida1, So Kazama2 (1. Mitsui Consultants CO., LTD., 2. TOHOKU UNIVERSITY)
10:45 AM - 11:00 AM JST(1:45 AM - 2:00 AM UTC)

[53]REAL-TIME FLOOD FORECAST USING THE RRI MODEL AND A DEEP NEURAL NETWORK

*Yosuke Nakamura1, Taisei Sekimoto1, Shiori Abe1, Shojun Arai1 (1. Mitsui Consultants Co.,LTD.)
11:00 AM - 11:15 AM JST(2:00 AM - 2:15 AM UTC)

[54]WATER LEVEL PREDICTIONS IN A DRAINAGE PUMPING STATION USING A DEEP LEARNING MODEL, COUPLED WITH A PHYSICAL MODEL AND A TRANSFER LEARNING APPROACH

*Nobuaki Kimura1, Hiroki Minakawa1, Yudai Fukushige1, Masaomi Kimura2, Daichi Baba3 (1. National Agriculture & Food Research Organization (NARO), 2. KINDAI University, 3. ARK Information Systems, INC.)
11:15 AM - 11:30 AM JST(2:15 AM - 2:30 AM UTC)

[55]STUDY ON ENHANCEMENT OF OVERFLOW MONITORING
BY DEEP LEARING
−TOWARDS ENHANCEMENT OF MANEGEMENT IN HOJO-RIVER−

*Yuu Kawazoe1, Toshiki Matsui2, Masafumi Kawahara3, Yoshiyuki Yasumoto4, Kou Ueyama1, Masashi Yamawaki5, Kensuke Matsuda6, Fumihiro Hara7 (1. CTI Engineering Co., Ltd., 2. Tottori Prefectural Government, 3. Tottori Prefectural Government, 4. Tottori Prefectural Government, 5. CTI Engineering Co., Ltd., 6. CTI Engineering Co., Ltd., 7. CTI Engineering Co., Ltd.)
11:30 AM - 11:45 AM JST(2:30 AM - 2:45 AM UTC)

[56]STUDY ON ENHANCEMENT OF DIVERSION WEIR OPERATION BY DEEP LEARNING
- TOWARDS ENHANCEMENT OF MANEGEMENT IN HOJO-RIVER -

*Kensuke Matsuda1, Toshiki Matsui2, Masafumi Kawahara3, Yoshiyuki Yasumoto4, Kou Ueyama5, Yuu Kawazoe5, Masashi Yamawaki6, Fumihiro Hara7 (1. CTI Engineering Co., Ltd., 2. TottoriPrefecturalGovernment, 3. Tottori PrefecturalGovernment, 4. TottoriPrefectural Government, 5. CTIEngineeringCo.,Ltd., 6. CTI EngineeringCo.,Ltd., 7. CTI Engineering Co.,Ltd.)
11:45 AM - 12:00 PM JST(2:45 AM - 3:00 AM UTC)

[1R201-07-8add]General discussion

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