利用海啸数值模拟结果进行海底地震有限断层模型验证

基于地震有限断层模型进行海啸的数值模拟通常被用来估计海啸的到时、 波高等, 另一方面, 海啸数值模拟的结果也可以作为限定条件用来考察同一地震的不同断层模型之间的相对合理性。 采用国际上各地震研究机构在震后各自得出的不同的有限断层模型作为海啸源, 使用基于二维浅水波方程的海啸传播模型对2011年日本东北地震海啸的传播过程进行模拟, 以海啸模拟所得到的沿岸浪高分布、 平均波高、 最大波高等与实际观测值相比较, 进而判断由各有限断层模型所计算得到的海啸中哪个结果与实际的海啸情况更为符合, 由此推断断层模型的相对合理性。     

南中国海区域海啸预警中心地震监测系统

简要介绍了南中国海区域海啸预警与减灾系统的建设和发展历程,同时重点阐述了地震监测系统构成及其基本功能。作为重要组成部分,地震监测系统通过地震数据的实时汇集、存储、自动处理和分析,并结合人机交互方式实现了地震定位、震源机制解和有限断层模型反演。实际应用表明,地震监测系统对全球6.0级以上地震定位时间不超过8 min,在震后10—15 min内完成W震相方法快速反演海底强震震源机制解,在震后短时间内完成有限断层模型反演,为海啸预警提供快速、准确、可靠的地震基本参数和震源特征参数。      

2014年3月10日加州西北岸M_w6.9级地震震源破裂过程

2014年3月10日13时18分(北京时间)美国加利福尼亚州西北岸发生Mw6.9级地震,震中位于戈尔达板块内部.本文利用国际地震学研究联合会(IRIS)地震数据中心提供的远场体波数据,通过波形反演的方法来研究此次地震的震源破裂过程,并分析未造成重大人员伤亡及诱发海啸的原因,为该地区地球动力学的研究提供依据.选取19个方位角覆盖均匀的远场P波垂向波形记录和13个近场P波初动符号进行约束,基于剪切位错点源模型确定此次地震的震源机制解.结合地质构造背景资料,确定断层破裂面的走向.在考虑海水层多次反射效应的影响下,采用18个远场P波垂向波形数据和21个远场SH波切向波形数据,利用有限断层模型,将断层面剖分为17×9块子断层单元来模拟破裂面上滑动的时空分布,通过波形反演的方法获得此次地震的震源破裂过程.利用海水层地壳模型,剪切位错点源模型的反演结果为:走向323°,倾角86.1°,滑动角-180°,震源深度为10.6km.有限断层模型的反演结果表明,此次地震的破裂过程相对简单,主要滑动量集中于震源上方35km×9km的区域内,破裂时间持续19s左右,平均破裂传播速度约为2.7km·s-1,较大滑动量均沿着走向分布,最大滑动量为249cm.此次地震为发生在戈尔达板块内部的一次Mw6.9级的陡倾角走滑型地震.此次地震为单纯的走滑型地震,断层面接近竖直方向,且发生在洋壳底部,因此破坏力不大,不会对沿岸城市造成重大损失.陡倾角断层在走滑错动的过程中不会使海底地形发生大幅度变化,不会引起大面积水体的突然升降,因此不会诱发大规模海啸.     

有限断层破裂时空过程反演结果误差的随机加权估计

针对非线性方法对有限断层破裂时空过程反演中存在的不唯一性问题,应用随机加权方法对反演结果进行误差估计．通过数值模型计算,定量揭示了滑动量、滑动角、破裂时间及上升时间在断层面上的分辨率值分布．应用随机加权方法对台湾海峡地震及缅中边境地震的误差估计结果表明,对应两次地震破裂中心位置上的参数分辨率值最高,结果最可靠,而在边缘子断层处滑动量与上升时间的分辨率值较低．      

港湾中海啸流的模拟及其时空演变特征对输入条件不确定性的响应分析

一直以来,海啸波特征作为表征海啸潜在破坏性的参数指标得到了广泛应用,特别是针对近场极端海啸事件造成的灾害来说,这种表征具有较好的适用性.然而总结分析历史海啸事件造成的损失发现：在远场近岸及港湾系统中,海啸诱导的强流却是造成损失的主要原因.陆架或港湾振荡导致海啸波幅快速升降诱发强流,可能促使港工设施受到威胁及损害,进而对海啸预警服务及海事应急管理提出了新的挑战.因此,全面理解与评估海啸在港湾中诱发的灾害特征,探索港湾中海啸流的数值模拟方法,发展针对港湾尺度的海啸预警服务指导产品尤为迫切.受限于海啸流验证数据的缺乏及准确模拟海啸流技术方法的诸多不确定性,大部分海啸数值模拟研究工作主要是针对水位特征的研究及验证,可能导致对港湾中海啸灾害危险性认识的曲解与低估.本研究基于非线性浅水方程,针对夏威夷群岛三个典型港湾建立了精细化海啸数值模型（空间分辨率达到10 m）,并联合有限断层破裂模型计算分析了日本东北地震海啸在三个港湾及其邻近区域的海啸特征,波、流计算结果与实测结果吻合较好,精细化的海啸港湾模型模拟结果可信.模拟发现港湾中较小的波幅,同样可以产生强流.综合分析日本东北地震海啸波、流特征对输入条件不确定性的响应结果发现：港湾中海啸波-流能量的空间分布特征差异较大,这与港湾系统中海啸波的驻波特性相关;相比海啸波幅空间特征,海啸流特征具有更强的空间敏感性;海啸流时空分布特征对输入条件的不确定性响应比海啸波幅对这些不确定性的响应更强,海啸流的模拟与预报更有挑战性;不确定性对海啸流计算精度的影响会进一步传导放大港湾海啸流危险性的评估及对港工设施产生的应力作用的误差,合理的输入条件对海啸流的精确模拟至关重要.最后,希望通过本文的研究可以从海啸波-流特征角度更加全面认识近岸海啸灾害特征,拓展海啸预警服务的广度与深度,从而为灾害应急管理部门提供更加科学合理的辅助决策产品.     

日本东北M_W9.0地震海啸在港池及邻近区域诱发的涡流危险性计算与评估分析

海啸造成的灾害与损失并非都与淹没有关,特别是港口中海啸诱导的强流会对船只及海事设施产生重要的影响及损害.由于海啸流观测数据稀缺及海啸诱导涡流机制的不确定性,过去60年海啸科学主要集中于对海啸波特征及淹没过程的研究与分析,海啸流模拟及验证工作开展较少,导致对海啸流基本特征及其造成灾害现象的曲解.开展海啸诱导的涡流研究及预警服务显得尤为重要及紧迫.考虑快速海啸预警需要,综合对比海啸诱导涡流的物理框架及模型方法,探索兼顾效率与计算精度的海啸流模拟方法是本文的核心工作及出发点.通过分析浅层湍流相干结构(TCS)产生的主要物理耗散机制,确定了考虑2D水平耗散机制的非线性浅水方程可用于海啸涡流的模拟分析.基于高精、高分辨率有限体积模型Geoclaw建立了三个精细化的港口海啸流模型,模型分辨率为5m.利用基于海啸浮标反演的海啸源模型作为初始条件,模拟分析了日本东北地震海啸在远场的海啸波流特征.海啸波流特征模拟结果与观测吻合较好,结果可信.对比发现:波驱动的自由表面流,小的位相或波幅误差就会导致大的流速误差,流的模拟和预报相对波幅来说更具挑战性.研究了海啸波流能量在港池中的分布特征,得到:港池入口及防波堤两端常被强流控制,具有极高的危险性;相对于波幅的空间变化,海啸流具有更强的空间敏感性;所建立的高分辨率海啸模型模拟再现了日本海啸在近场的涡旋结构,给出了与观测基本一致的涡流特征.最后,引入海啸流危险等级标准,分析了港口海啸流危险性等级分布、船只疏散的安全深度及回港的时间周期.针对港口、海湾同时考虑海啸波流特征的海啸预警与评估对于港口应急管理者科学决策具有重要意义.     

芦山MS7.0级地震InSAR形变观测及震源参数反演

2013年4月20四川省芦山县发生M_S7.0级地震,目前的研究资料表明地震发生在龙门山断裂南段,但地表未发现明显破裂.本研究利用InSAR技术与Radarsat-2雷达数据,获取了芦山地震同震的部分形变场,结果表明,近场区域的LOS位移发生视线向隆升,量值在7 cm左右.随后利用弹性半空间的位错模型反演了断层面参数,综合反演结果及震源机制解最终确定了发震断层的初始模型,以形变场观测数据为约束,基于梯度下降法反演获得了断层面上的滑动分布,反演得到的矩震级为M_w6.45级,断层走向213°,倾角39°~43°,最大滑动位于地表以下约13 km深度位置,最大滑动量0.91 m,平均滑动角71°,整体上仍以逆冲滑动为主,兼具左旋走滑.推测在双石-大川断裂以东12 km处展布一条隐伏断裂,为本次的发震断裂.     

利用InSAR资料反演缅甸Mw6.8地震断层滑动分布

2011年3月24日缅甸东北部发生M_w6.8级地震.本文利用覆盖该地区的升降轨ALOS PALSAR数据,获取了该次地震的同震形变场,并采用灰度配准技术获取了其地表破裂位移.针对影像中因轨道不精确造成的非线性长波长误差,本文采用二次多项式曲面法予以去除,获取了更为精确的同震形变场.最后,基于弹性半空间形变模型反演了该地震的断层滑动分布.结果表明,该地震断层滑动以左旋走滑为主,兼具少许的倾滑运动分量,断层滑动主要集中分布在断层面0~10 km深度范围,最大滑动量达5 m,位于地表以下5 km深处.反演获得的地震标量矩为2.49×10¹⁹N·m,震级约为M_w6.8级.     

东海海域潜在地震海啸的数值模拟初步研究

针对东海冲绳海槽地区的地震地质背景,对东海海域潜在的地震海啸进行了预研究. 假设了冲绳海槽在发生8.5级大地震,断层错距高达15 m的极端地震情况引发的海啸对中国东部沿海地区的影响. 初步数值模拟结果表明,该地震引发的海啸的最大初始波高为4.3 m,4小时左右传至浙江沿岸,近岸各处波高为1——2 m,其中局部地区波高为2.4 m;约7——8小时靠近上海海岸线（若震源在中冲绳海槽地区,海啸传到上海最快大约7小时）,近岸波高约为1 m. 近岸区域地形变化复杂,海岛密布,局部地形条件可能会很大地影响实际各地点海啸波高,加上海啸在岸边爬高及港湾效应,估计波高还会升高. 给出了冲绳海槽南、中、北部发生潜在地震海啸的传播等时图. 笔者在东海设置了3个地震及海啸监测站,基于海啸模拟结果绘制了监测站处的海啸随时间演化曲线,分析了预研究成果对海啸预警可能发挥的作用.      

断层滑动分布反演及实时校正场地放大系数研究

正十五期间,我国累计部署约2 000个强震动台站,台站分布密度增加,观测技术得到很大发展。我国即将实施"国家地震预警与烈度速报工程"建设,建成后台网台间距将达到20—40 km,资料能够快速获取。但强震动数据在滑动分布反演方面尚未应用于地震应急和灾害评估中。强震动数据大量应用于实时或者近实时地震动预测系统中,在实时场地放大系数研究方面,现有研究大多利用标量值来表征场地放大系数,缺少实时校正依赖于频率的场地放大系数的研究,期望通过研究改进实现在地震应急与地震动预测中发挥重要作用。本文围绕强震动数据深入应用于断层滑动分布反演和地震动预测方面,主要研究了快速基线校正获取可靠永久位移的方法、利用近场位移进行快速滑动分布反演、实时校正依赖于频率的场地放大系数3个方面的内容。论文主要取得了以下认识和成果:(1)分析了强震动记录基线漂移的原因,总结了国内外提出的基线校正方法,针对现有基线校正方法自动化程度低,难以快速获取近场位移的问题,改进和完善了自动基线校正方法,形成了针对国内外多种强震动仪器记录数据进行快速处理获取永久位移的能力,并利用改进的基线校正方法对不同强震动台网的强震动数据进行处理,并与附近GPS台站记录的位移对比,验证了计算结果的可靠性。研究显示改进的方法能够获得近场专业强震动仪记录到的强震动记录的永久位移,同时也检测到P-alert台网近场永久位移偏离严重,显示大地震发生时MEMS传感器记录强震动数据可能难以恢复可靠近场永久位移。(2)总结了均匀半空间和水平成层半空间的同震位错理论和反演理论及方法。利用台湾CWB和NCREE强震动台网记录到的近场永久位移数据、GPS数据、 Sentinel-1A和ALOS-2In SAR数据基于单断层模型和双断层模型分别反演与联合反演得到了美浓地震滑动分布结果,对比分析不同模型下反演结果,显示本次地震单一发震断层模型结果更加合理。研究显示地震以倾滑为主,主要滑动破裂集中在9—15 km之间,并没有延伸到地表,破裂主要发生在震中西北区域,近地表最大滑动量为0.95 m,最终矩震级为6.29,平均应力降为1.21 MPa,最大应力降为6.31 MPa。(3)利用日本F-net测震数据基于考虑震源时间函数效应的矩张量反演方法反演得到了熊本主震的震源机制解。利用日本K-net和Kik-net强震动台网记录的近场永久位移、ALOS-2In SAR数据、Geonet位移数据分别建立单一断层和分段式断层模型进行滑动分布单独反演与联合反演研究,显示分段式断层模型结果更加合理,滑动分布主要在震中东北方10—30 km间,同时震中附近具有较大的滑动量,破裂延伸到地表,分段1断层模型平均滑动量为2.19 m,最大滑动量6.00 m,平均应力降19.66 MPa,最大应力降90.75 MPa。分段2断层模型平均滑动量约1.48 m,最大滑动量为4.00 m,平均应力降为15.72 MPa,最大应力降为116.62 MPa,矩震级为7.04,破裂过程在阿苏火山西南段结束。基于K-net和Kik-net快速获取的永久位移反演滑动分布结果和基于Geonet GPS位移数据、Sentinel-1A In SAR形变数据反演得到滑动分布结果都比较一致而且可靠,研究显示大震后利用高密度强震动台网后快速获取滑动分布用于震后应急响应和灾害评估是切实可行的。(4)系统总结了国内外场地放大系数校正研究现状,显示利用标量数值来校正场地放大系数的方法不能产生依赖于频率的放大系数,因此,研究实时校正依赖于频率的场地放大系数,设计因果递归无限脉冲响应滤波器(IIR)来建模场地放大系数,完成了软件实现。收集了Kiknet IBRH10与IBRH19两个台站208次地震的强震动记录,利用谱比法得到了井下台站和地面台站之间的相对场地放大系数,设计IIR滤波器对井下观测数据滤波模拟得到了自由地表地震动。利用谱比法计算IBRH10和IBRH19两个台站间的相对谱比,设计因果递归滤波器实现场地放大系数,模拟得到了IBRH10台的加速度时程和傅里叶谱。统计分析所有观测数据和模拟数据的仪器地震烈度,发现预测准确程度有较大提高。本方法很好的改进了加速度时程和仪器地震烈度的预测。为场地放大系数的实时校正提供了一种比较准确的计算方法。(5)以熊本地震为例,基于联合反演滑动分布结果,利用随机有限断层方法模拟得到了熊本地震KMMH12台站与KMMH13台站的基岩加速度时程,提出将IIR方法引入到随机有限断层地震动模拟。通过熊本地震两个台站从井下到地表的模拟和自由地表台站之间的模拟,均取得了较好的模拟结果,验证了方法的有效性。将相关工作结合起来,对更加准确的预测地震动场有重要的支持作用。     

Numerical Simulation of the 2011 Tohoku Tsunami Based on a New Transient FEM Co-seismic Source: Comparison to Far- and Near-Field Observations

In this work, we simulate the 2011 M9 Tohoku-Oki tsunami using new coseismic tsunami sources based on inverting onshore and offshore geodetic data, using 3D Finite Element Models (FEM). Such FEMs simulate elastic dislocations along the plate boundary interface separating the stiff subducting Pacific Plate from the relatively weak forearc and volcanic arc of the overriding Eurasian plate. Due in part to the simulated weak forearc materials, such sources produce significant shallow slip (several tens of meters) along the updip portion of the rupture near the trench. To assess the accuracy of the new approach, we compare observations and numerical simulations of the tsunami's far- and near-field coastal impact for: (i) one of the standard seismic inversion sources (UCSB; Shao et al. 2011); and (ii) the new FEM sources. Specifically, results of numerical simulations for both sources, performed using the fully nonlinear and dispersive Boussinesq wave model FUNWAVE-TVD, are compared to DART buoy, GPS tide gauge, and inundation/runup measurements. We use a series of nested model grids with varying resolution (down to 250 m nearshore) and size, and assess effects on model results of the latter and of model physics (such as when including dispersion or not). We also assess the effects of triggering the tsunami sources in the propagation model: (i) either at once as a hot start, or with the spatiotemporal sequence derived from seismic inversion; and (ii) as a specified surface elevation or as a more realistic time and space-varying bottom boundary condition (in the latter case, we compute the initial tsunami generation up to 300 s using the non-hydrostatic model NHWAVE). Although additional refinements are expected in the near future, results based on the current FEM sources better explain long wave near-field observations at DART and GPS buoys near Japan, and measured tsunami inundation, while they simulate observations at distant DART buoys as well or better than the UCSB source. None of the sources, however, are able to explain the largest runup and inundation measured between 39.5° and 40.25°N, which could be due to insufficient model resolution in this region (Sanriku/Ria) of complex bathymetry/topography, and/or to additional tsunami generation mechanisms not represented in the coseismic sources (e.g., splay faults, submarine mass failure). This will be the object of future work.     

The 15 August 2007 Peru Earthquake and Tsunami: Influence of the Source Characteristics on the Tsunami Heights

The tsunami caused by the 2007 Peru earthquake (M_w 8.0) provoked less damage than by the seismic shaking itself (numerous casualties due to the earthquake in the vicinity of Pisco). However, it propagated across the Pacific Ocean and small waves were observed on one tide gauge in Taiohae Bay (Nuku Hiva, Marquesas, French Polynesia). We invert seismological data to recover the rupture pattern in two steps. The first step uses surface waves to find a solution for the moment tensor, and the second step uses body waves to compute the slip distribution in the source area. We find the slip distribution to consist of two main slip patches in the source area. The inversion of surface waves yields a scalar moment of 8.9 10²⁰ Nm, and body-wave inversion gives 1.4 10²¹ Nm. The inversion of tsunami data recorded on a single deep ocean sensor also can be used to compute a fault slip pattern (yielding a scalar moment of 1.1 10²¹ Nm). We then use these different sources to model the tsunami propagation across the Pacific Ocean, especially towards Nuku Hiva. While the source model taken from the body-wave inversion yields computed tsunami waves systematically too low with respect to observations (on the central Pacific Ocean DART buoy as on the Polynesian tide gauge), the source model established from the surface-wave inversion is more efficient to fit the observations, confirming that the tsunami is sensitive to the low frequency component of the source. Finally we also discuss the modeling of the late tsunami arrivals in Taiohae Bay using several friction coefficients for the sea bottom.     

Tsunami Source of the 2010 Mentawai, Indonesia Earthquake Inferred from Tsunami Field Survey and Waveform Modeling

The 2010 Mentawai earthquake (magnitude 7.7) generated a destructive tsunami that caused more than 500 casualties in the Mentawai Islands, west of Sumatra, Indonesia. Seismological analyses indicate that this earthquake was an unusual “tsunami earthquake,” which produces much larger tsunamis than expected from the seismic magnitude. We carried out a field survey to measure tsunami heights and inundation distances, an inversion of tsunami waveforms to estimate the slip distribution on the fault, and inundation modeling to compare the measured and simulated tsunami heights. The measured tsunami heights at eight locations on the west coasts of North and South Pagai Island ranged from 2.5 to 9.3 m, but were mostly in the 4–7 m range. At three villages, the tsunami inundation extended more than 300 m. Interviews of local residents indicated that the earthquake ground shaking was less intense than during previous large earthquakes and did not cause any damage. Inversion of tsunami waveforms recorded at nine coastal tide gauges, a nearby GPS buoy, and a DART station indicated a large slip (maximum 6.1 m) on a shallower part of the fault near the trench axis, a distribution similar to other tsunami earthquakes. The total seismic moment estimated from tsunami waveform inversion was 1.0 × 10²¹ Nm, which corresponded to M_w 7.9. Computed coastal tsunami heights from this tsunami source model using linear equations are similar to the measured tsunami heights. The inundation heights computed by using detailed bathymetry and topography data and nonlinear equations including inundation were smaller than the measured ones. This may have been partly due to the limited resolution and accuracy of publically available bathymetry and topography data. One-dimensional run-up computations using our surveyed topography profiles showed that the computed heights were roughly similar to the measured ones.     

The 29 September 2009 Samoa Islands Tsunami: Simulations Based on the First Focal Mechanism Solutions and Implications on Tsunami Early Warning Strategies

The tsunamigenic earthquake (Mw?=?8.1) that occurred on 29 September 2009 at 17:48 UTC offshore of the Samoa archipelago east of the Tonga trench represents an example of the so-called ??outer-rise?? earthquakes. The areas most affected were the south coasts of Western and American Samoa, where almost 200 people were killed and run-up heights were measured in excess of 5?m at several locations along the coast. Moreover, tide gauge records showed a maximum peak-to-peak height of about 3.5?m near Pago Pago (American Samoa) and of 1.5?m offshore of Apia (Western Samoa). In this work, different fault models based on the focal mechanism solutions proposed by Global CMT and by USGS immediately after the 2009 Samoan earthquake are tested by comparing the near-field recorded signals (three offshore DART buoys and two coastal tide gauges) and the synthetic signals provided by the numerical simulations. The analysis points out that there are lights and shadows, in the sense that none of the computed tsunamis agrees satisfactorily with all the considered signals, although some of them reproduce some of the records quite well. This ??partial agreement?? and ??partial disagreement?? are analysed in the perspective of tsunami forecast and of Tsunami Early Warning System strategy.     

Tsunami Modeling to Validate Slip Models of the 2007 M w 8.0 Pisco Earthquake, Central Peru

Following the 2007, August 15th, M _w 8.0, Pisco earthquake in central Peru, Sladen et al. (J Geophys Res 115: B02405, 2010) have derived several slip models of this event. They inverted teleseismic data together with geodetic (InSAR) measurements to look for the co-seismic slip distribution on the fault plane, considering those data sets separately or jointly. But how close to the real slip distribution are those inverted slip models? To answer this crucial question, the authors generated some tsunami records based on their slip models and compared them to DART buoys, tsunami records, and available runup data. Such an approach requires a robust and accurate tsunami model (non-linear, dispersive, accurate bathymetry and topography, etc.) otherwise the differences between the data and the model may be attributed to the slip models themselves, though they arise from an incomplete tsunami simulation. The accuracy of a numerical tsunami simulation strongly depends, among others, on two important constraints: (i) A fine computational grid (and thus the bathymetry and topography data sets used) which is not always available, unfortunately, and (ii) a realistic tsunami propagation model including dispersion. Here, we extend Sladen’s work using newly available data, namely a tide gauge record at Callao (Lima harbor) and the Chilean DART buoy record, while considering a complete set of runup data along with a more realistic tsunami numerical that accounts for dispersion, and also considering a fine-resolution computational grid, which is essential. Through these accurate numerical simulations we infer that the InSAR-based model is in better agreement with the tsunami data, studying the case of the Pisco earthquake indicating that geodetic data seems essential to recover the final co-seismic slip distribution on the rupture plane. Slip models based on teleseismic data are unable to describe the observed tsunami, suggesting that a significant amount of co-seismic slip may have been aseismic. Finally, we compute the runup distribution along the central part of the Peruvian coast to better understand the wave amplification/attenuation processes of the tsunami generated by the Pisco earthquake.     

2004年苏门答腊地震的几个断层滑动模型的全球同震位移对比

2004年苏门答腊大地震后,不同作者根据地震波和/或GPS观测,提出了不同的断层错动模型.在利用同震位移观测资料反演断层滑动模型时,由于使用半无限空间均匀介质模型或半无限空间分层介质模型,一般只能利用近场位移GPS观测约束,无法利用远场资料,这些模型有时差别颇大,如何区别这些模型的优劣是一个仍尚未解决的问题.本文采用等效体力有限元方法,在考虑地球球形和分层的条件下,对四个不同作者提供的2004年苏门答腊地震的断层滑动模型计算全球同震位移.由于采用了球形模型,所以不仅可以把四个模型的近场位移计算结果与GPS数据进行对比,而且可以把远场位移计算结果与GPS数据进行对比.我们发现,垂直位移对断层滑动模型的依赖性小于水平位移.四个模型计算的近场位移与GPS位移符合程度均较好,但是四个模型计算的远场位移与GPS位移符合情况有很大不同,其中Chlieh等（2007）模型在近场与远场符合程度均很好,是四个模型中最好的.另外还探讨了断层反演数据资料、断层几何模型以及地球模型对计算结果的影响.对于特大地震,全球同震位移观测与计算值吻合程度的好坏是衡量断层滑动模型的合理性的一个重要依据.     

Source characterisation by mixing long-running tsunami wave numerical simulations and historical observations within a metamodel-aided ABC setting

Uncertainty related to the source parameters of earthquake can largely impact the tsunami-induced wave characteristics, especially in the case of near-field tsunami source. The combination of numerical simulations and historical eyewitness accounts can be used to better constrain those uncertainties. In the present study, we propose a Bayesian procedure to infer (i.e. learn) the probability distribution of the source parameters of the earthquake. The strategy is based on the combination of: (1) kriging-based metamodelling techniques to overcome the high computation time cost of the numerical simulator; and (2) Approximate Bayesian Computation (ABC) procedure to perform the Bayesian inference. The procedure is applied to the Ligurian (North West of Italy) 1887 tsunami case, for which tsunami-induced sea surface elevations at the coast have been reported at four locations, namely Marseille, Imperia, Diano-Marina and Genoa. The kriging metamodels are trained using only 300 long-running numerical simulations that were performed using the FUNWAVE-TVD code. Contrary to recent inversion exercises that can benefit from current modern observation networks (like tide gauges, sea bottom pressure gauges, GPS-mounted buoys), the case of historical tsunami like Liguria is complicated by the imprecision and scarcity of the observations: this is accounted for by conducting the combined ABC-kriging procedure a large number of times (i.e. 1000); each time a new set of observations being randomly generated to account for this observational error. The combined analysis of the inference results and of the observation uncertainty reveals that: (1) the coseismic slip is the most important source parameter with a very peaky density distribution around low values ranging from 0.3 to 0.6 m; (2) The fault width has a peaky density distribution around low values ranging from 10 to 12 km; (3) The rake and azimuth distribution only slightly deviate from the uniform prior, hence indicating a low influence of those parameters; (4) The bi-modal distribution of the dip is also evidenced.     

Slip Distribution and Seismic Moment of the 2010 and 1960 Chilean Earthquakes Inferred from Tsunami Waveforms and Coastal Geodetic Data

The slip distribution and seismic moment of the 2010 and 1960 Chilean earthquakes were estimated from tsunami and coastal geodetic data. These two earthquakes generated transoceanic tsunamis, and the waveforms were recorded around the Pacific Ocean. In addition, coseismic coastal uplift and subsidence were measured around the source areas. For the 27 February 2010 Maule earthquake, inversion of the tsunami waveforms recorded at nearby coastal tide gauge and Deep Ocean Assessment and Reporting of Tsunamis (DART) stations combined with coastal geodetic data suggest two asperities: a northern one beneath the coast of Constitucion and a southern one around the Arauco Peninsula. The total fault length is approximately 400 km with seismic moment of 1.7 × 10²² Nm (Mw 8.8). The offshore DART tsunami waveforms require fault slips beneath the coasts, but the exact locations are better estimated by coastal geodetic data. The 22 May 1960 earthquake produced very large, ~30 m, slip off Valdivia. Joint inversion of tsunami waveforms, at tide gauge stations in South America, with coastal geodetic and leveling data shows total fault length of ~800 km and seismic moment of 7.2 × 10²² Nm (Mw 9.2). The seismic moment estimated from tsunami or joint inversion is similar to previous estimates from geodetic data, but much smaller than the results from seismic data analysis.     

The July 1998 Papua New Guinea Earthquake: Mechanism and Quantification of Unusual Tsunami Generation

— The unusual tsunami generated by the July 17, 1998 Papua New Guinea earthquake was investigated on the basis of various geophysical observations, including seismological data, tsunami waveform records, and on-land and submarine surveys. The tsunami source models were constructed for seismological high-angle and low-angle faults, splay fault, and submarine slumps. Far-field and near-field tsunamis computed from these models were compared with the recorded waveforms in and around Japan and the measured heights along the coast around Sissano Lagoon, respectively. In order to reproduce the far-field tsunami waveforms, small sources such as splay fault or submarine slump alone were not enough, and a seismological fault model was required. Relocated aftershock distribution and observed coastal subsidence were preferable for the low-angle fault, but the low-angle fault alone could not reproduce the large near-field tsunamis. The low-angle fault with additional source, possibly a submarine slump, is the most likely source of the 1998 tsunami, although other possibilities cannot be excluded. Computations from different source models showed that the far-field tsunami amplitudes are proportional to the displaced water volume at the source, and the comparison with the observed tsunami amplitudes indicated that the displaced water volume at the 1998 tsunami source was ～0.6 km³. The near-filed tsunami heights, on the other hand, are determined by the potential energy of displaced water, and the comparison with the observed heights showed that the potential energy was ～2 × 10¹² J.     

Near-Field Tsunami Edge Waves and Complex Earthquake Rupture

The effect of distributed coseismic slip on progressive, near-field edge waves is examined for continental shelf tsunamis. Detailed observations of edge waves are difficult to separate from the other tsunami phases that are observed on tide gauge records. In this study, analytic methods are used to compute tsunami edge waves distributed over a finite number of modes and for uniformly sloping bathymetry. Coseismic displacements from static elastic theory are introduced as initial conditions in calculating the evolution of progressive edge-waves. Both simple crack representations (constant stress drop) and stochastic slip models (heterogeneous stress drop) are tested on a fault with geometry similar to that of the M _w = 8.8 2010 Chile earthquake. Crack-like ruptures that are beneath or that span the shoreline result in similar longshore patterns of maximum edge-wave amplitude. Ruptures located farther offshore result in reduced edge-wave excitation, consistent with previous studies. Introduction of stress-drop heterogeneity by way of stochastic slip models results in significantly more variability in longshore edge-wave patterns compared to crack-like ruptures for the same offshore source position. In some cases, regions of high slip that are spatially distinct will yield sub-events, in terms of tsunami generation. Constructive interference of both non-trapped and trapped waves can yield significantly larger tsunamis than those that produced by simple earthquake characterizations.