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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
Ryunosuke Hosaka, Tsukasa Kudo (SIST) SWIM2022-21
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
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

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  
1st Author's Name Ryunosuke Hosaka  
1st Author's Affiliation Shizuoka Institute of Science and Technology (SIST)
2nd Author's Name Tsukasa Kudo  
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 
Date of Issue 2022-11-19 (SWIM) 

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