Study on estimation method of the spatial distribution of each component of sediment by using particle-size distributions
| Project/Area Number |
20560483
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Hydraulic engineering
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| Research Institution | National Institute for Land and Infrastructure Management |
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Principal Investigator |
OKADA Tomonari National Institute for Land and Infrastructure Management, 沿岸海洋研究部・海洋環境研究室, 主任研究官 (80304749)
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| Co-Investigator(Renkei-kenkyūsha) |
ISHIKAWA Tadaharu 東京工業大学, 総合理工学研究科, 教授 (50159696)
FURUKAWA Keita 国土技術政策総合研究所, 沿岸海洋研究部, 室長 (00356031)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2009: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2008: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 底泥 / 底泥輸送 / 粒度分布 / 有機物 / 化学組成 / 東京湾 |
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| Research Abstract |
We present a method to estimate the spatial distribution of sediment by using particle-size distribution and chemical composition. For particle-size analysis, organic matter was removed from sediment using H_2O_2. The spatial distribution of chemical composition and sediment removed organic matter showed clearly the distribution of impacts of sediments from the Tama River and Tokyo bay in Keihin Unga, Tokyo Bay, Japan. The result demonstrates the feasibility of the method to reduce uncertainty in interpreting the spatial distribution of impacts of sediment from some sources.
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Report
(4 results)
Research Products
(17 results)
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[Journal Article] Suspended sediment transport in a river basin estimated by chemical composition analysis2010
Author(s)
Ishida, T., Nakayama, K., Okada, T., Maruya, Y., Onishi, K, Omori, M.
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Journal Title
Hydrological Research Letters
Volume: 4
Pages: 55-59
NAID
Related Report
Peer Reviewed
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