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| Paper Abstract and Keywords | ||
| Presentation | 2022-11-26 14:15 Proposal for Small and Medium River Flood Warning System Using Big Data Tsukasa Kudo, Ryunosuke Hosaka (SIST)  SWIM2022-21 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Recently, floods in small and medium-sized rivers have been increasing due to extreme weather conditions. It is important to predict the danger of such floods as soon as possible and to encourage residents to evacuate in good time. In this study, we propose a smaller river flood warning system that predicts floods based only on river water levels and rainfall, which are publicly available as big data and are easy for residents to understand. Furthermore, through the experiments targeting real rivers with level 3 flood warnings, we show that the system can predict whether or not to issue a flood warning in advance with high accuracy. in these experiments, based on the history of past flood warnings, water levels of targeting and upstream observation points, and rainfall, the threshold values for each river observation point are set. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Big data / Scraping / Smaller river flood forecasting / Water level / Rainfall / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 282, SWIM2022-21, pp. 2-9, Nov. 2022. | |
| Paper # | SWIM2022-21 | |
| Date of Issue | 2022-11-19 (SWIM) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | SWIM2022-21 |
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| Conference Information | |
| Committee | SWIM |
| Conference Date | 2022-11-26 - 2022-11-26 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Management and IT, etc (Workshop) |
| Paper Information | |
| Registration To | SWIM |
| Conference Code | 2022-11-SWIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Proposal for Small and Medium River Flood Warning System Using Big Data |
| Sub Title (in English) | |
| Keyword(1) | Big data |
| Keyword(2) | Scraping |
| Keyword(3) | Smaller river flood forecasting |
| Keyword(4) | Water level |
| Keyword(5) | Rainfall |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Tsukasa Kudo |
| 1st Author's Affiliation | Shizuoka Institute of Science and Technology (SIST) |
| 2nd Author's Name | Ryunosuke Hosaka |
| 2nd Author's Affiliation | Shizuoka Institute of Science and Technology (SIST) |
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| Speaker | Author-1 |
| Date Time | 2022-11-26 14:15:00 |
| Presentation Time | 25 minutes |
| Registration for | SWIM |
| Paper # | SWIM2022-21 |
| Volume (vol) | vol.122 |
| Number (no) | no.282 |
| Page | pp.2-9 |
| #Pages | 8 |
| Date of Issue | 2022-11-19 (SWIM) |
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