Extraction of tsunami source coefficients via inversion of DART$$^{circledR}$$ buoy data
Extraction of tsunami source coefficients via inversion of DART$$^{circledR}$$ buoy data
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通过 DART$$^{circledR}$$ 浮标数据反演提取海啸源系数
DOI：
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发表时间：
2011
期刊：
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通讯作者：
V. Titov
中科院分区：
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作者：
D. Percival;D. Denbo;M. Eblé;E. Gica;H. Mofjeld;M. Spillane;Liujuan Tang;V. Titov
要准确预测近场和远场地震产生的海啸对沿海社区造成的潜在危害，就需要了解所谓的震源系数，从震源系数可以推断出海啸的强度。地震资料本身可用来确定震源系数，但由此得出的数值反映了海床或海床以下的运动动态，因此可能无法准确描述这种运动在上覆水柱中的表现。我们在这里描述了一种方法，通过利用来自深海海啸评估和报告（DART$$^{circledR}$$）浮标（海啸计）的数据，根据地震信息来改进震源系数估计。该方法涉及使用这些数据通过反演算法调整预先计算的模型，以便调整后的模型和DART$$^{circledR}$$数据之间的残差在最小二乘意义上尽可能小。反演算法是基于统计的，因此具有评估估计源系数中的不确定性的能力。我们详细描述了这种反演算法，并将其应用于2006年11月千岛群岛事件作为案例研究。
The ability to accurately forecast potential hazards posed to coastal communities by tsunamis generated seismically in both the near and far field requires knowledge of so-called source coefficients, from which the strength of a tsunami can be deduced. Seismic information alone can be used to set the source coefficients, but the values so derived reflect the dynamics of movement at or below the seabed and hence might not accurately describe how this motion is manifested in the overlaying water column. We describe here a method for refining source coefficient estimates based on seismic information by making use of data from Deep-ocean Assessment and Reporting of Tsunamis (DART$$^{circledR}$$) buoys (tsunameters). The method involves using these data to adjust precomputed models via an inversion algorithm so that residuals between the adjusted models and the DART$$^{circledR}$$ data are as small as possible in a least squares sense. The inversion algorithm is statistically based and hence has the ability to assess uncertainty in the estimated source coefficients. We describe this inversion algorithm in detail and apply it to the November 2006 Kuril Islands event as a case study.