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地殻活動予測シミレーションと地殻変動データ同化
https://doi.org/10.15083/0000032645
https://doi.org/10.15083/0000032645967f7414-fc64-48c2-8af5-e5460d502879
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
ji0752003.pdf (1.5 MB)
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|
| Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2008-05-30 | |||||
| タイトル | ||||||
| タイトル | 地殻活動予測シミレーションと地殻変動データ同化 | |||||
| 言語 | ja | |||||
| 言語 | ||||||
| 言語 | jpn | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | crustal activity | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | simulation | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | data assimilation | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | GPS | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | crustal deformation | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | inversion | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | departmental bulletin paper | |||||
| ID登録 | ||||||
| ID登録 | 10.15083/0000032645 | |||||
| ID登録タイプ | JaLC | |||||
| その他のタイトル | ||||||
| その他のタイトル | Simulation for Crustal Activity Forecast and Assimilation of Crustal Movement Data | |||||
| 著者 |
鷺谷, 威
× 鷺谷, 威 |
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| 著者別名 | ||||||
| 識別子Scheme | WEKO | |||||
| 識別子 | 126523 | |||||
| 姓名 | Sagiya, Takeshi | |||||
| 著者所属 | ||||||
| 値 | 国土地理院地理地殻活動研究センター | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Data assimilation is indispensable to numerical simulations of crustal activities if one intends to make a forecast or a prediction. However, compared to meteorological data, an assimilation of crustal activity data is difficult because of the limited availability of observation data and the lack of theoretical models connecting observation data and model parameters. In addition, various phenomena, from long-term tectonic loading process to very short acceleration process toward a final fault rupture, need to be simulated in a crustal activity forecast, which makes simulation as well as data assimilation very difficult. Among the various observation data, only crustal deformation data can now be assimilated into crustal activity simulations. The recent development of a continuous GPS network in Japan provides us with a good opportunity to start crustal activity simulations with data assimilation. For that purpose, two methods of assimilating crustal deformation data are presented and discussed. One estimates displacement data at any point and at any time based on a limited amount of geodetic data, which will be useful for simulations using the finite element method. The other assimilation method estimates spatio-temporal distribution of fault slips from geodetic data. Incorporation of viscoelasitc responses of the Earth is necessary for the practical application of this method. By applying these methods with some modification, we can supply initial and boundary conditions to numerical simulations. Consecutive assimilation of crustal deformation data is essential for such simulations so that the calculation always mimics the real crustal activity and the model forecast is meaningful. | |||||
| 書誌情報 |
東京大學地震研究所彙報 = Bulletin of the Earthquake Research Institute, University of Tokyo 巻 75, 号 2, p. 145-158, 発行日 2000-12-22 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 00408972 | |||||
| 書誌レコードID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AN00162258 | |||||
| フォーマット | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | application/pdf | |||||
| 日本十進分類法 | ||||||
| 主題Scheme | NDC | |||||
| 主題 | 453 | |||||
| 出版者 | ||||||
| 出版者 | 東京大学地震研究所 | |||||
| 出版者別名 | ||||||
| 値 | Earthquake Research Institute, University of Tokyo | |||||
