| Project/Area Number |
07558059
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
Natural disaster science
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| Research Institution | NAGASAKI UNIVERSITY |
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Principal Investigator |
NOGUCHI Masato NAGASAKI UNIV., FAC.ENGINEERING,PROFESSOR, 工学部, 教授 (10026263)
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| Co-Investigator(Kenkyū-buntansha) |
NISHIDA Wataru NAGASAKI UNIV., FAC.ENGINEERING,RESEARCH ASSOCIATE, 工学部, 助手 (20253635)
NAKAMURA Takehiro NAGASAKI UNIV., FAC.ENVIR.SCI., ASSOCIATE PROFESSOR, 環境科学部, 助教授 (70039692)
INOUE Kazuya KYOTO UNIV., DISASTER PREVENTION RES.INST., PROFESSOR, 防災研究所, 教授 (50026126)
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| Project Period (FY) |
1995 – 1997
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| Project Status |
Completed (Fiscal Year 1997)
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| Budget Amount *help |
¥3,800,000 (Direct Cost: ¥3,800,000)
Fiscal Year 1997: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 1996: ¥1,600,000 (Direct Cost: ¥1,600,000)
Fiscal Year 1995: ¥1,600,000 (Direct Cost: ¥1,600,000)
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| Keywords | short-term prediction / RADAR data of rainfall / FRICS data / neural network / integrated management / flood analysis / urban storm drainage / warning sysytem / 被圧・不圧の下水道流解析 / GISデータ / 降雨-流出解析 / physically-based model |
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| Research Abstract |
Research has been carried out in order to complete the following matters : (1) construction of warning system by RADAR data. (2) precise estimation of runoff considering the urban facilities for storm drainage, and (3) development of refuge system based on integrated management of river and watershed. These kinds of matters surely support the sound and sustainable development of our life.
Attainning the above-mentioned purpose, short-term prediction of rainfall using the RADAR data distributed by the Foundationn of River & Basin Integrated Communications (FRICS) has been discussed, enthusiastically. Based on the results, it becomes clear that neural network scheme is available for precisely predicting the rainfall movement, even though identification of model parameter becomes necessary in order to instruct its system. Next, development of the physically based rainfall-runoff model has been aimed to perform the integrated management of water at urban area. Namely, importance of knowledge-based information system has been emphasized for an appropriate dissemination of disaster prevention and/or mitigation.
Finally, some efforts have been devoted to make available the above-mentioned matters. It was usual that several kinds of informations for disaster prevention and/or mitigation was stored by means of books and reports, but their effects on warning are not so effective due to the restriction of its currency. Then, how to establish the available warning system for disaster and also how to construct the database of information have been discussed. In addition, report of these studies has been published and delivered to the relevant organizations.
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