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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/103239


    題名: Efficient inversions for earthquake slip distributions in 3D structures
    作者: 謝銘哲;Hsieh, Ming-Che;Zhao, Li;Ji, Chen;Ma, Kuo-Fong
    貢獻者: 地震災害鏈風險評估及管理研究中心
    關鍵詞: algorithms;Asia;earthquakes;Environmental geology;Far East;focal mechanism;geologic hazards;Geophysics;magnitude;natural hazards;propagation;risk assessment;rupture;seismic risk;Seismology;Taiwan;technology;three-dimensional models
    日期: 2016-11-01
    上傳時間: 2026-04-23 11:26:21 (UTC+8)
    出版者: Seismological Society of America
    摘要: 摘要: Advances in observational and computational seismology in the past two decades have made it possible for fully automatic and real-time determinations of the focal mechanisms of point earthquake sources. However, sources of all large and small earthquakes are intrinsically finite and heterogeneous, both temporally as well as spatially. Therefore, a full picture of the source slip distribution is essential not only for a better understanding of earthquake physics but also for accurate account of the source directivity effect for reliable and realistic predictions of earthquake-induced strong ground motions. We develop a source inversion technique that combines a well-established slip-distribution inversion method and an efficient algorithm for computing accurate synthetics in 3D structures based on a pre-established strain Green tensor database. This new technique makes it practical for slip-distribution inversion in 3D structures, which not only enhances the capability of resolving source slip distributions of moderate earthquakes through better accounting of the effects of lateral structural heterogeneities but also provides an effective tool for the development of automatic systems for near-real-time inversions of earthquake source slip distributions for seismic-hazard mitigation purposes.
    出版者: Seismological Society of America
    出版日期: 2016-11-01
    出處: Seismological Research Letters, 2016-11, Vol.87 (6), p.1342-1354
    版權: GeoRef, Copyright 2020, American Geosciences Institute. Reference includes data from GeoScienceWorld Alexandria, VA USA United States. Abstract, Copyright, Seismological Society of America
    識別號: ISSN: 0895-0695
    識別號: EISSN: 1938-2057
    識別號: DOI: 10.1785/0220160050
    顯示於類別:[地震災害鏈風險評估及管理研究中心] 期刊論文

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