Project/Area Number |
11694193
|
Research Category |
Grant-in-Aid for Scientific Research (A)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Irrigation, drainage and rural engineering/Rural planning
|
Research Institution | THE UNIVERSITY OF TOKYO |
Principal Investigator |
SATO Yohei Graduate school of Agricultural & Life Sciences, THE UNIVERSITY OF TOKYO, Professor, 大学院・農学生命科学研究科, 教授 (20012023)
|
Co-Investigator(Kenkyū-buntansha) |
TORII Seiji Kyoto University, Graduate school of Agriculture, Associate Professor, 大学院・農学研究科, 助教授 (40026563)
KAGATSUME Yu Kyoto University, Graduate school of Agriculture, Professor, 大学院・農学研究科, 教授 (20101248)
SHIBASAKI Ryosuke Center for Spatial Information Sciences, THE UNIVERSITY OF TOKYO, Professor, 空間情報科学研究センター, 教授 (70206126)
JI Zengmin Sugiyama Women's Collage, Faculty of Cultural Information, Professor, 文化情報学部, 教授 (20278237)
|
Project Period (FY) |
1999 – 2001
|
Project Status |
Completed (Fiscal Year 2001)
|
Budget Amount *help |
¥15,080,000 (Direct Cost: ¥13,700,000、Indirect Cost: ¥1,380,000)
Fiscal Year 2001: ¥5,980,000 (Direct Cost: ¥4,600,000、Indirect Cost: ¥1,380,000)
Fiscal Year 2000: ¥4,500,000 (Direct Cost: ¥4,500,000)
Fiscal Year 1999: ¥4,600,000 (Direct Cost: ¥4,600,000)
|
Keywords | Lower Yangtze-River Basin / Land Use Change / Land Cover Change / Remote Sensing / GIS / Estimation Model / Urban Expansion / International Exchange of Researchers / リーモートセンシング |
Research Abstract |
The research aim in this year is to examine the urban expansion model that we built in previous year. We chose a city of Chengdu, which is located in southwest part of China for examining the model. After examining the model with applying to the city of Chengdu, it was found that the model was quite applicable to the situation of the city. The model has a component of use zoning, but such zoning systems differ from city to city. Therefore, we should develop a parameterization method of each category of land use in the use zoning. This is a weakness of the model at this moment. Growth rate of population, economic growth rate and accessibility to trunk roads are most influential factors to land use change and land cover change in any regions.
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