研究課題/領域番号 |
19J20293
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研究種目 |
特別研究員奨励費
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配分区分 | 補助金 |
応募区分 | 国内 |
審査区分 |
小区分17040:固体地球科学関連
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研究機関 | 東京大学 |
研究代表者 |
WANG YUCHEN 東京大学, 理学系研究科, 特別研究員(DC1) (80943290)
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研究期間 (年度) |
2019-04-25 – 2022-03-31
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研究課題ステータス |
完了 (2021年度)
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配分額 *注記 |
2,800千円 (直接経費: 2,800千円)
2021年度: 900千円 (直接経費: 900千円)
2020年度: 900千円 (直接経費: 900千円)
2019年度: 1,000千円 (直接経費: 1,000千円)
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キーワード | Tsunami / Tsunami Early Warning / Data Assimilation / Bottom Pressure Gauge / Real-Time Detection / Resonance Analysis / Tsunami Forecasting / Tsunami Resonance |
研究開始時の研究の概要 |
Data assimilation is a method to combine observation and numerical simulation, and widely used in weather forecast. The data assimilation methods have been recently applied for tsunami forecast in North America and Japan where dense observation networks exist. In my planned study, I proposed a data assimilation method by introducing virtual observation data from neighboring real observations. Based on this method, we will be able to forecast the tsunamis in the Bay of Bengal if an earthquake happens around Sumatra Island.
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研究実績の概要 |
In the past year, I have been working on tsunami data assimilation for early warning. I successfully conducted a retroactive study of the 2016 Fukushima earthquake. I used 28 S-net pressure gauge records for tsunami data assimilation and forecasted the tsunami waveforms at four tide gauges on the Sanriku coast. The forecast accuracy score is 74% for a time window of 35 min. In addition, I also worked on the optimal deployment of offshore bottom pressure gauges (OBPGs). I proposed an optimal deployment scheme of OBPGs in the South China Sea, aiming at early warning of potential tsunami hazards based on the data assimilation approach. The results indicated that at least three stations are required to cover the coast along southern China to forecast the tsunami in the South China Sea successfully. The next step is to apply tsunami data assimilation to the tsunami generated by the 2022 Tonga volcanic eruption. The S-net and DONET observation will be adopted.
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現在までの達成度 (段落) |
令和3年度が最終年度であるため、記入しない。
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今後の研究の推進方策 |
令和3年度が最終年度であるため、記入しない。
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