| Project/Area Number |
02805061
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
Hydraulic engineering
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| Research Institution | KYOTO UNIVERSITY |
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Principal Investigator |
NAKAKITA Eiichi Disaster Research Prevention Inst. Associate Professor, 防災研究所, 助教授 (70183506)
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| Co-Investigator(Kenkyū-buntansha) |
SIIBA Michiharu Dept. of Civil Engineering, Associate Professor, 工学部, 助教授 (90026352)
IKEBUCHI Shuichi Disaster Research Prevention Inst. Professor, 防災研究所, 教授 (20026181)
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| Project Period (FY) |
1990 – 1991
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| Project Status |
Completed (Fiscal Year 1991)
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| Budget Amount *help |
¥1,600,000 (Direct Cost: ¥1,600,000)
Fiscal Year 1991: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 1990: ¥1,100,000 (Direct Cost: ¥1,100,000)
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| Keywords | radar / remote sensing / rainfall distribution / stochastic model / design rainfall / geographically induced rainfall / rainfall prediction / レ-ダ- / リモ-トセンシング / 気象衛星 / 水収支 / 3次元レ-ダ- |
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| Research Abstract |
It was our intention that instability field model which we have been developing should be developed as a field which has homogeneous statistical structure. According to this intention the instability field model has been extended to be applied typhoon. Moreover, the model has extended to have a function that the water vapor can be transported from lower layer to upper layer of atmosphere.
On the other hand, in order to make it possible to identity the modeled instability field, a method of estimating three-dimensional wind velocity and conversion rate of water vapor by using the information on radar reflectivity has been proposed. By the investigation on the accuracy using wind field observed by a doppler radar and MV radar, the method showed good skill. This method, moreover, has been extended to be applied on the rainfall over the wide area.
On a basis of the methods and investigations above, some statistical analyses were done, through use of rainfall not effected by topography. These analyses showed an ample proof that those methods above has high possibility to become a physical based method of computing design rainfall.
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