Project/Area Number |
03452209
|
Research Category |
Grant-in-Aid for General Scientific Research (B)
|
Allocation Type | Single-year Grants |
Research Field |
Hydraulic engineering
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Research Institution | Nagaoka University of Technology |
Principal Investigator |
KOIKE Tosio Nagaoka University of Technology, Depertment of Civil Engineering, Associate Professor, 工学部, 助教授 (30178173)
|
Co-Investigator(Kenkyū-buntansha) |
SEKI Hajime Nagaoka University of Technology, Depertment of Electrical Engineering, Associat, 工学部, 助教授 (00179326)
|
Project Period (FY) |
1991 – 1992
|
Project Status |
Completed (Fiscal Year 1992)
|
Budget Amount *help |
¥6,900,000 (Direct Cost: ¥6,900,000)
Fiscal Year 1992: ¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 1991: ¥5,200,000 (Direct Cost: ¥5,200,000)
|
Keywords | cryosphere / heat budget / microwave / remote sensing / snowmelt / 雪氷圏 / リモ-トセンシング |
Research Abstract |
This study investugates the discrepancies of heat budgets on snow surface between in the high alpine area and in the lower-lands through the field observations. The energy exchanges across the snow surface were measured at three observation sites ; two were located at the diffrent elevations, 2950m and 3400m, on the northern slope of Mt.Fuji and the other at 300m in Niigata prefecture. Snowmelt was calculated using snow density measured by snow sampler once a week and melting depth by camera in every six hours. The role of turbulent hear flux in high alpine area was more important than in the lower-land. The latent heat flux was usually negative and the large positive latent heat flux associated with the warm, humid and strong wind sometimes caused the very intense snowmelt in the high alpine area. Microwave remote sensing techniques offer important advatages for snow mapping : the all weather capability and the possibility to detect snow water equivalent directly. However there are many factors which influence on the microwave signature of snow such as grain size, liquid water content, density and stratification. The profile of dielectric constant represents the major snow properties. The dielectric constant model was established based on the field measurements of snow using the portable dielectric probe. Furtermore the temporal and spatial distributions of the profile of the dielectric constant in two regions were identified by applying the model to the exsiting snow pit observation data.
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