| Project/Area Number |
25660191
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Rural environmental engineering/Planning
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| Research Institution | Kyushu University |
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Principal Investigator |
HIRAMATSU Kazuaki 九州大学, (連合)農学研究科(研究院), 教授 (10199094)
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| Co-Investigator(Renkei-kenkyūsha) |
HARADA Masayoshi 九州大学, 大学院農学研究院, 准教授 (80325000)
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| Research Collaborator |
FUKUDA Shinji 東京農工大学, 大学院農学研究院, 助教 (70437771)
TABATA Toshinori 九州大学, 大学院生物資源環境科学府
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| Project Period (FY) |
2013-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 閉鎖性水域 / 沿岸浅海域 / 流域圏 / 窒素・リン / 富栄養・貧栄養 / 機械学習技術 / 広域的最適化 |
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| Outline of Final Research Achievements |
The organic pollution due to runoff of nitrogen and phosphorous has been widely spreading in urbanizing agricultural watersheds in Southeast Asian developing countries, and the development of integrated watershed management tools becomes to be an urgent issue. However, it is often difficult to obtain the numerical information of watersheds and hydrological and meteorological data that would be absolutely necessary in developing the integrated watershed management tools. In this research, the integrated watershed management tools have been developed and applied to urbanizing agricultural watersheds in developing countries in Southeast Asia only with scarce numerical information of watersheds and observed data. In conducting the research, satellite image remote sensing as well as machine learning techniques such as pattern recognition, support vector machine, global optimization techniques and so on, have been positively utilized in order to supplement the scarce data.
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