ANALYSIS OF HEAVY RAIN FROM TYPHOON NUMBER 3 (2017) USING X-BAND MULTIPARAMETER RADAR DATA, KYUSHU, JAPAN

The heavy rain on 5–6 July of 2017 was generated by the seasonal rain front that lingered from 30 June until 4 July, and by typhoon No.3 in the Kyushu northern part of Japan (Fukuoka and Oita Prefectures) which occurred at 09:00 on July 2. Such heavy rain caused serious disasters (landslid...

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Main Authors: M. Nishio, M. Mori
Format: Article
Language:English
Published: Copernicus Publications 2018-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4/459/2018/isprs-archives-XLII-4-459-2018.pdf
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spelling doaj-67cede21f3d947448b64a0b555a564c82020-11-25T01:07:39ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-09-01XLII-445946610.5194/isprs-archives-XLII-4-459-2018ANALYSIS OF HEAVY RAIN FROM TYPHOON NUMBER 3 (2017) USING X-BAND MULTIPARAMETER RADAR DATA, KYUSHU, JAPANM. Nishio0M. Mori1Information Processing Center, Kurume Institute of Technology, Fukuoka, JapanGraduate School of Humanity-Oriented Science and Engineering, Kinki University, Fukuoka, JapanThe heavy rain on 5–6 July of 2017 was generated by the seasonal rain front that lingered from 30 June until 4 July, and by typhoon No.3 in the Kyushu northern part of Japan (Fukuoka and Oita Prefectures) which occurred at 09:00 on July 2. Such heavy rain caused serious disasters (landslides and flooding). During the large-scale downpour, 2617 damaged dwellings and 39 deaths were recorded in Oita and Fukuoka Prefectures. A new radar system, the X-band MP radar system, provides more detailed rainfall observations than C-band radar, but its special data structure precludes an easy data processing by geographical information systems (GISs) and other software. To overcome this difficulty, we developed an original software that is compatible with GIS. The rainfall amount accumulated by a monitoring system is useful in disaster prevention, as dangerous levels of the accumulated rainfall provide a warning signal.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4/459/2018/isprs-archives-XLII-4-459-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author M. Nishio
M. Mori
spellingShingle M. Nishio
M. Mori
ANALYSIS OF HEAVY RAIN FROM TYPHOON NUMBER 3 (2017) USING X-BAND MULTIPARAMETER RADAR DATA, KYUSHU, JAPAN
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet M. Nishio
M. Mori
author_sort M. Nishio
title ANALYSIS OF HEAVY RAIN FROM TYPHOON NUMBER 3 (2017) USING X-BAND MULTIPARAMETER RADAR DATA, KYUSHU, JAPAN
title_short ANALYSIS OF HEAVY RAIN FROM TYPHOON NUMBER 3 (2017) USING X-BAND MULTIPARAMETER RADAR DATA, KYUSHU, JAPAN
title_full ANALYSIS OF HEAVY RAIN FROM TYPHOON NUMBER 3 (2017) USING X-BAND MULTIPARAMETER RADAR DATA, KYUSHU, JAPAN
title_fullStr ANALYSIS OF HEAVY RAIN FROM TYPHOON NUMBER 3 (2017) USING X-BAND MULTIPARAMETER RADAR DATA, KYUSHU, JAPAN
title_full_unstemmed ANALYSIS OF HEAVY RAIN FROM TYPHOON NUMBER 3 (2017) USING X-BAND MULTIPARAMETER RADAR DATA, KYUSHU, JAPAN
title_sort analysis of heavy rain from typhoon number 3 (2017) using x-band multiparameter radar data, kyushu, japan
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2018-09-01
description The heavy rain on 5–6 July of 2017 was generated by the seasonal rain front that lingered from 30 June until 4 July, and by typhoon No.3 in the Kyushu northern part of Japan (Fukuoka and Oita Prefectures) which occurred at 09:00 on July 2. Such heavy rain caused serious disasters (landslides and flooding). During the large-scale downpour, 2617 damaged dwellings and 39 deaths were recorded in Oita and Fukuoka Prefectures. A new radar system, the X-band MP radar system, provides more detailed rainfall observations than C-band radar, but its special data structure precludes an easy data processing by geographical information systems (GISs) and other software. To overcome this difficulty, we developed an original software that is compatible with GIS. The rainfall amount accumulated by a monitoring system is useful in disaster prevention, as dangerous levels of the accumulated rainfall provide a warning signal.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4/459/2018/isprs-archives-XLII-4-459-2018.pdf
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