Project/Area Number |
16K01336
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Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Natural disaster / Disaster prevention science
|
Research Institution | Kindai University |
Principal Investigator |
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Research Collaborator |
NISHIO masahiro
|
Project Period (FY) |
2016-04-01 – 2019-03-31
|
Project Status |
Completed (Fiscal Year 2018)
|
Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
Keywords | XバンドMPレーダ / GIS / 降雨量画像 / グーグルアース / XバンドMPデータ / XバンドMPレーダ / 降雨量解析 |
Outline of Final Research Achievements |
Local heavy rain caused a serious debris flow disaster with 75 victims, and destroyed many buildings on Hiroshima City on August, 20, 2014. The accumulated rainfall amount from 1:30 am to 4:30 am was recorded at over 200 millimeters. Usually, local heavy rain is observed by AMeDAS, and by C-band radar operated by MLIT of Japan for disaster prevention in Japan, which have spatial resolutions of 2.5 km and 1 km, respectively. The X-band MP radar system is the new radar system, and rainfall observations by the X-band MP radar system are more detailed than by the C-band radar. X-band MP radar can observe local rainfall almost in real time throughout the entire territory of Japan, to support appropriate disaster prevention activity, and the minimum observation area is in a 250 meter mesh. The accumulated rainfall monitoring system is crucial for disaster prevention. Those hazard levels of the accumulated rainfall amount are quite important to estimate occurrences of disasters.
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Academic Significance and Societal Importance of the Research Achievements |
今回のXバンドMPレーダの利用については、国土交通省のWEBサイトXRAINの例のように即時性(1分間降雨量データ)を目的とする場合は良いが、これでは蓄積雨量情報が分からず、気象庁が設定している、1時間蓄積雨量警報レベルが全く利用できない状況となっている。自治体の防災担当者は、1分間降雨量データのみならず、蓄積雨量情報も住民の避難警報・警告の重要な根拠としているため、本研究はきわめて重要な情報を提供できるものと考えられる。
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