| 研究課題/領域番号 |
23KF0258
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| 研究機関 | 鳥取大学 |
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研究代表者 |
Haregeweyn N 鳥取大学, 国際乾燥地研究教育機構, 教授 (30754692)
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| 研究分担者 |
ALEMU DAGNENET 鳥取大学, 国際乾燥地研究教育機構, 外国人特別研究員
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| 研究期間 (年度) |
2023-11-15 – 2026-03-31
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| キーワード | Peak flow / Lag time / Time of concentration / Machine learning / Sediment concentration |
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| 研究実績の概要 |
Global Hydrological response time estimation methods were reviewed and archived from 80 published articles to survey and evaluate the accuracy of existing methods across different climatic region. Relationship between catchment size, slope, rainfall intensity, dominant soil texture and land use versus measured time of concentration were analyzed. Additionally, event-based rainfall-peak flow data maintained from our previous study under contrasting climates of Ethiopia were analyzed to determine lag time of peak flows and time of concentration. To support these activities satellite images and laptop computer were purchased.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
3: やや遅れている
理由
The necessary preparations to conduct the field work in Ethiopia in the coming summer are slightly delayed due to security travel restriction to the study sites. Efforts are being made to accelerate the preparation so that the necessary data could be collected as per the initial plan.
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| 今後の研究の推進方策 |
The future research plan comprises four key activities: 1) Conducting rainy season field surveys in Ethiopia to collect data on peak flow, soil moisture, and sediment concentration for hydrological model validation. 2) Compiling biophysical, hydrological, and meteorological data from various sources to enhance the watershed database. 3) Evaluating the accuracy of existing methods for estimating hydrological response times across different climates. 4) Developing machine learning models to predict flood and sediment response times in tropical regions, enhancing predictive accuracy and efficiency
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| 次年度使用額が生じた理由 |
Due to unexpected discount for the satellite image being for academic purpose.
We will use the remaining amount to cover travel expenses.
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