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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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 |
work_keys_str_mv |
AT mnishio analysisofheavyrainfromtyphoonnumber32017usingxbandmultiparameterradardatakyushujapan AT mmori analysisofheavyrainfromtyphoonnumber32017usingxbandmultiparameterradardatakyushujapan |
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