2001 Fiscal Year Final Research Report Summary
Estimation of Local Strong Wind Based on Regression Analysis of Local Terrain Factors
Project/Area Number |
12650478
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
構造工学・地震工学
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Research Institution | The University of Tokushima |
Principal Investigator |
NAGAO Fumiaki Faculty of Engineering, The University of Tokushima, Associate Professor, 工学部, 助教授 (40172506)
|
Co-Investigator(Kenkyū-buntansha) |
NODA Minoru Faculty of Engineering, The University of Tokushima, Research Associate, 工学部, 助手 (30283972)
UTSUNOMIYA Hidehiko Faculty of Engineering, The University of Tokushima, Professor, 工学部, 教授 (90035626)
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Project Period (FY) |
2000 – 2001
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Keywords | Local Strong Wind / Regression Analysis of Local Terrain / Terrain Roughness / Wind Properties over Hill / Wind Properties along Valley / Correlation of Gradient Wind and Surface Wind |
Research Abstract |
To improve the accuracy of estimation of local strong wind, new local terrain parameters were introduced in the multiple regression analysis. All the data used in this analysis were obtained at the AMeDAS observatories in Shikoku. It was well known that the wind velocity at AMeDAS observatories was heavily influenced by the surrounding local terrain. New local terrain factors were introduced from scenery pictures of 16-azimuths around site. It was shown that the new terrain factors defined here played important roll in regression analysis. The speed-up phenomenon over two-dimensional hills was experimentally investigated by using simplified terrain models in several kinds of approaching flows. As the results, approaching flow properties, shape factors and surface roughness of hill had strong effects on the speed-up phenomenon over steep slope hill. Moreover, the speed-up ratio over two-dimensional hill was formulated by approaching flow properties, shape factors and surface roughness of hill. The mechanism of speed-up phenomena was also studied by the measurements of surface pressure. From the investigation of correlation between gradient wind and surface wind, large scale topographic factors were also important for the estimation of local wind properties.
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Research Products
(6 results)