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| Presentation | 2017-12-21 10:55 Proposal of High Risk Priority Method for Disaster Prevention-Oriented Rainfall Information Synthesis Hitomi Sano (Ochanomizu Univ.), Eiji Ikoma (Tokyo Univ.), Masaru Kitsuregawa (NII), Masato Oguchi (Ochanomizu Univ.)  MoNA2017-30 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, the phenomenon of localized bursts of rainfall has increased in Japan. For this reason, collecting and sharing rain information quickly is the most important issue in terms of disaster prevention measures related to water disasters. XRAIN, which is suitable for the observation of localized heavy rain, enables high resolution observations and drastic shortening of observation times. However, the observation area of XRAIN does not cover all of Japan. Conversely, C-band radar, which is suitable for wide-area observation, covers the entire country of Japan, but it has difficulty to observing localized heavy rain. Both radars have opposite characteristics. For this reason, we examined a method that complements observation information from XRAIN with that of C-band radar to determine the rain situation in all of Japan, including localized heavy rain. In this study, we also proposed a method that synthesizes observation data of XRAIN and C-band radar and uses our proposed disaster prevention-oriented method. As a result, our method made it possible to display observation information throughout Japan, including localized heavy rain, in real time. The proposed method and implementation results are described in this paper. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | XRAIN / X band MP radar / C-band radar / Big Data / rainfall / Localized heavy rain / Water diaster / Disaster prevention | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 371, MoNA2017-30, pp. 15-18, Dec. 2017. | |
| Paper # | MoNA2017-30 | |
| Date of Issue | 2017-12-14 (MoNA) | |
| ISSN | Print edition: ISSN 0913-5685 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 | MoNA2017-30 |
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| Conference Information | |
| Committee | MoNA |
| Conference Date | 2017-12-21 - 2017-12-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ochanomizu University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Cloud computing, Big data, Wireless network, etc. |
| Paper Information | |
| Registration To | MoNA |
| Conference Code | 2017-12-MoNA |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Proposal of High Risk Priority Method for Disaster Prevention-Oriented Rainfall Information Synthesis |
| Sub Title (in English) | |
| Keyword(1) | XRAIN |
| Keyword(2) | X band MP radar |
| Keyword(3) | C-band radar |
| Keyword(4) | Big Data |
| Keyword(5) | rainfall |
| Keyword(6) | Localized heavy rain |
| Keyword(7) | Water diaster |
| Keyword(8) | Disaster prevention |
| 1st Author's Name | Hitomi Sano |
| 1st Author's Affiliation | Ochanomizu University (Ochanomizu Univ.) |
| 2nd Author's Name | Eiji Ikoma |
| 2nd Author's Affiliation | The University of Tokyo (Tokyo Univ.) |
| 3rd Author's Name | Masaru Kitsuregawa |
| 3rd Author's Affiliation | National Institute of Informatics (NII) |
| 4th Author's Name | Masato Oguchi |
| 4th Author's Affiliation | Ochanomizu University (Ochanomizu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-12-21 10:55:00 |
| Presentation Time | 25 minutes |
| Registration for | MoNA |
| Paper # | MoNA2017-30 |
| Volume (vol) | vol.117 |
| Number (no) | no.371 |
| Page | pp.15-18 |
| #Pages | 4 |
| Date of Issue | 2017-12-14 (MoNA) |
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