Development of the simple load estimation formula based on catchment-scale water qualty models
| Project/Area Number |
23580333
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Irrigation, drainage and rural engineering/Rural planning
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| Research Institution | Kobe University |
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Principal Investigator |
TADA Akio 神戸大学, (連合)農学研究科(研究院), 准教授 (00263400)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2013: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2012: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2011: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 流出負荷量 / 区間推定 / モデル / 重点的サンプリング / モニタリング / 面源 / 原単位 / 総流出負荷量 / ＴＯＰＭＯＤＥＬ / 高頻度モニタリング / 水質モニタリング / 濁度 / 負荷量 |
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| Research Abstract |
This research aimed at the establishment of the interval estimation method for mass load from a catchment ecosystem through the improvement of the performance of the water quality numerical/statistical model. As a result, it became apparent that the main hurdle to the proper interval estimation lies not in the improved performance of the water quality models but in the fundamental idea to calculate the mass load itself. An application of the importance sampling method, which is the one of the representative efficient Monte Carlo numerical integration methods, was an the right answer for this purpose. The importance sampling method gives the appropriate interval estimation methods of the mass load, not only as the new water quality monitoring method but also for the accumulated water quality data by the different sampling methods so far.
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Report
(4 results)
Research Products
(23 results)
