| Project/Area Number |
14550866
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
海洋工学
|
|---|
| Research Institution | The University of Tokyo |
|---|
Principal Investigator |
KOMURA Takashi The University of Tokyo, School of Engineering, Research Associate, 大学院・工学系研究科, 助手 (10010894)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
MAEDA Masatsugu The University of Tokyo, School of Engineering, Research Associate, 大学院・工学系研究科, 助手 (60219277)
KAWAMURA Takafumi The University of Tokyo, School of Engineering, Lecturer, 大学院・工学系研究科, 講師 (80334324)
YAMAGUCHI Hajime The University of Tokyo, School of Engineering, Professor, 大学院・工学系研究科, 教授 (20166622)
|
|---|
| Project Period (FY) |
2002 – 2003
|
| Project Status |
Completed (Fiscal Year 2003)
|
| Budget Amount *help |
¥3,600,000 (Direct Cost: ¥3,600,000)
Fiscal Year 2003: ¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 2002: ¥1,900,000 (Direct Cost: ¥1,900,000)
|
|---|
| Keywords | Geographic information system / Remote sensing / Sea ice / Data management / Cold region seas / Numerical forecast / Environment impact assessment / Integrated system |
|---|
| Research Abstract |
1.A natural environmental database was produced by collecting meteorological objective analysis data from the Japan Meteorological Agency, the Arctic sea ice data from the Arctic and Antarctic Research Institute of Russia, the sea ice data obtained from satellite remote sensing, and other data on climate, ocean, sea ice, biology, etc.
2.The above-mentioned database was connected with GIS, Geographic Information System. We extended the functions of the GIS so that we *n operate the database directly form the GIS with user-friendly interface. The GIS data can be analyzed very efficiently by using this system.
3.We made interface software between the GIS and computer simulation codes for numerical forecast, completing an integrated system of database, GIS and numerical forecast.
4.Numerical sea ice forecast code was improved by comparing the computed results with the observation n the Sea of Okhotsk. As a result, the sea ice forecast code has attained the level of operational use. Higher resolution computations, however, is required for the ocean code.
5.Satellite sea ice remote sensing data were investigated. A sea ice distinction algorithm. NaSA team algorighm, was modified by using a implemented into the integrated GIS developed by this research.
6.We have got a copy of EIA (environmental impact assessment) report from the oil and gas development project in the northern Sakhalin, and investigated the process and necessary data category. Then, we examined the methodology to integrate the process into GIS, directing an GIS-based EIA system for the sustainable development in cold region seas.
|
