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Characterizing the porosity structure and gas hydrate distribution at the southern Hikurangi Margin, New Zealand from offshore electromagnetic data. 利用近海电磁数据确定新西兰南部 Hikurangi 边缘的孔隙结构和天然气水合物分布特征。
IF 2.8 3区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2023-06-19 eCollection Date: 2023-09-01 DOI: 10.1093/gji/ggad243
Christine Chesley, Samer Naif, Kerry Key

The dynamics of accretionary prisms and the processes that take place along subduction interfaces are controlled, in part, by the porosity and fluid overpressure of both the forearc wedge and the sediments transported to the system by the subducting plate. The Hikurangi Margin, located offshore the North Island of New Zealand, is a particularly relevant area to investigate the interplay between the consolidation state of incoming plate sediments, dewatering and fluid flow in the accretionary wedge and observed geodetic coupling and megathrust slip behaviour along the plate interface. In its short geographic extent, the margin hosts a diversity of properties that impact subduction processes and that transition from north to south. Its southernmost limit is characterized by frontal accretion, thick sediment subduction, the absence of seafloor roughness, strong interseismic coupling and deep slow slip events. Here we use seafloor magnetotelluric (MT) and controlled-source electromagnetic (CSEM) data collected along a profile through the southern Hikurangi Margin to image the electrical resistivity of the forearc and incoming plate. Resistive anomalies in the shallow forearc likely indicate the presence of gas hydrates, and we relate deeper forerarc resistors to thrust faulting imaged in colocated seismic reflection data. Because MT and CSEM data are highly sensitive to fluid phases in the pore spaces of seafloor sediments and oceanic crust, we convert resistivity to porosity to obtain a representation of fluid distribution along the profile. We show that porosity predicted by the resistivity data can be well fit by an exponential sediment compaction model. By removing this compaction trend from the porosity model, we are able to evaluate the second-order, lateral changes in porosity, an approach that can be applied to EM data sets from other sedimentary basins. Using this porosity anomaly model, we examine the consolidation state of the incoming plate and accretionary wedge sediments. A decrease in porosity observed in the sediments approaching the trench suggests that a protothrust zone is developing ∼25 km seaward of the frontal thrust. Our data also imply that sediments deeper in the accretionary wedge are slightly underconsolidated, which may indicate incomplete drainage and elevated fluid overpressures of the deep wedge.

增生棱柱的动力学和沿俯冲界面发生的过程部分受前弧楔和由俯冲板块输送到该系统的沉积物的孔隙度和流体超压的控制。位于新西兰北岛近海的 Hikurangi 边缘是研究进入的板块沉积物的固结状态、增生楔中的脱水和流体流动与沿板块界面观测到的大地耦合和大推移滑动行为之间相互作用的一个特别相关的区域。在其较短的地理范围内,边缘具有影响俯冲过程和南北过渡的多种特性。其最南端的特征是锋面增生、厚沉积物俯冲、无海底粗糙度、强地震间耦合和深层缓慢滑动事件。在此,我们利用沿 Hikurangi 边缘南部剖面采集的海底磁测(MT)和可控源电磁(CSEM)数据,对前弧和来弧板块的电阻率进行成像。浅前弧的电阻异常可能表明存在天然气水合物,我们将更深的前弧电阻与同位地震反射数据中的推力断层联系起来。由于 MT 和 CSEM 数据对海底沉积物和大洋地壳孔隙空间中的流体相非常敏感,我们将电阻率转换为孔隙度,以表示流体沿剖面的分布情况。我们的研究表明,由电阻率数据预测的孔隙率可以很好地与指数沉积压实模型拟合。通过从孔隙度模型中去除这种压实趋势,我们能够评估孔隙度的二阶横向变化,这种方法可应用于其他沉积盆地的电磁数据集。利用这种孔隙度异常模型,我们可以研究进入的板块和增生楔沉积物的固结状态。在接近海沟的沉积物中观察到的孔隙度下降表明,在锋面推力向海 25 公里处正在形成一个原推力区。我们的数据还表明,增生楔深部的沉积物固结程度略低,这可能表明深楔的排水不完全和流体超压升高。
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引用次数: 0
3-D shallow shear velocity structure of the Jakarta Basin from transdimensional ambient noise tomography. 雅加达盆地三维浅层剪切速度结构的三维环境噪声层析成像。
IF 2.8 3区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2023-05-03 eCollection Date: 2023-09-01 DOI: 10.1093/gji/ggad176
Rexha Verdhora Ry, Phil R Cummins, Babak Hejrani, Sri Widiyantoro

Situated on the northern coast of the Indonesian island of Java, Jakarta and its metropolitan area (Greater Jakarta) are subject to significant earthquake hazards from a subduction zone south of Java and nearby active crustal faults. The seismic risk may be even higher because Greater Jakarta resides on a sedimentary basin filled with thick Pliocene-Pleistocene sediments. A comprehensive study of Jakarta Basin's properties and geometry is important for creating robust seismic hazard and risk assessments. The main objective of this study is to develop a 3-D model of Jakarta Basin's shallow shear-wave velocity (VS ) structure and improve on previous models that did not cover the basin edge due to the extent of data coverage. Between April and October 2018, we deployed a new temporary seismic network to extend the spatial coverage beyond that of a previous deployment in 2013, and sampled 143 locations through sequential deployments of 30 broad-band sensors covering Jakarta and its adjacent areas. We conducted a 2-stage transdimensional Bayesian inversion of Rayleigh wave phase velocity dispersion curves derived from seismic noise. To begin, we applied tomography and constructed 2-D phase velocity maps for periods 1-5 s. Then, at each point in a regular grid defined on these maps, we invert each dispersion curve into 1-D depth profiles of VS . Finally, these profiles at gridpoints with ∼2 km spacing are interpolated to form a pseudo-3-D VS model. Our results reveal the edge of the Pliocene-Pleistocene sediments along the south. Also, we resolve a basement offset across south Jakarta that we suggest may be related to the western extension of the Baribis Fault (alternatively, the West Java Backarc Thrust). We recommend using this 3-D model of the Jakarta Basin for scenario earthquake ground motion simulations. Such simulations would help establish how important it might be to re-assess seismic hazard and risk in Greater Jakarta so that basin resonance and amplification are considered.

雅加达及其大都市地区(大雅加达)位于印度尼西亚爪哇岛北部海岸,受到爪哇以南俯冲带和附近活动地壳断层的严重地震危害。地震风险可能更高,因为大雅加达位于一个充满厚上新世-更新世沉积物的沉积盆地上。对雅加达盆地的性质和几何形状进行全面研究对于建立稳健的地震灾害和风险评估非常重要。本研究的主要目的是开发雅加达盆地浅层剪切波速(VS)结构的三维模型,并对之前由于数据覆盖范围而没有覆盖盆地边缘的模型进行改进。2018年4月至10月,我们部署了一个新的临时地震网络,以将空间覆盖范围扩大到2013年之前的部署之外,并通过连续部署覆盖雅加达及其邻近地区的30个宽带传感器,对143个地点进行了采样。我们对由地震噪声导出的瑞利波相速度色散曲线进行了两阶段的跨维贝叶斯反演。首先,我们应用了断层扫描并构建了1-5秒的二维相速度图。然后,在这些地图上定义的规则网格中的每个点,我们将每个色散曲线反转为VS的一维深度剖面。最后,对间距为~2km的网格点的这些剖面进行插值,形成伪三维VS模型。我们的研究结果揭示了南部上新世-更新世沉积物的边缘。此外,我们还解决了雅加达南部的基底偏移,我们认为该偏移可能与Baribis断层的西部延伸有关(或者,西爪哇弧后冲断层)。我们建议使用这种雅加达盆地的三维模型来模拟地震地面运动。这样的模拟将有助于确定重新评估大雅加达的地震危害和风险有多重要,以便考虑盆地共振和放大。
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引用次数: 0
Extraction of GRACE/GRACE-FO observed mass change patterns across Antarctica via independent component analysis (ICA). 通过独立分量分析(ICA)提取GRACE/GRACE- fo观测到的南极洲质量变化模式。
IF 2.8 3区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2022-06-01 DOI: 10.1093/gji/ggac033
Tianyan Shi, Yoichi Fukuda, Koichiro Doi, Jun'ichi Okuno

Here we qualitatively analyse the mass change patterns across Antarctica via independent component analysis (ICA), a statistics-based blind source separation method to extract signals from complex data sets, in an attempt to reduce uncertainties in the glacial isostatic adjustment (GIA) effects and improve understanding of Antarctic Ice Sheet (AIS) mass-balance. We extract the six leading independent components from gravimetric data acquired during the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) missions. The results reveal that the observed continental-scale mass changes can be effectively separated into several spatial patterns that may be dominated by different physical processes. Although the hidden independent physical processes cannot be completely isolated, some significant signals, such as glacier melt, snow accumulation, periodic climatic signals, and GIA effects, can be determined without introducing any external information. We also observe that the time period of the analysed data set has a direct impact on the ICA results, as the impacts of extreme events, such as the anomalously large snowfall events in the late 2000s, may cause dramatic spatial and temporal changes in the ICA results. ICA provides a unique and informative approach to obtain a better understanding of both AIS-scale mass changes and specific regional-scale spatiotemporal signal variations.

为了减少冰川均衡调整(GIA)效应的不确定性,提高对南极冰盖(AIS)质量平衡的认识,本研究采用独立分量分析(ICA)方法对南极地区的质量变化模式进行了定性分析。ICA是一种基于统计的盲源分离方法,从复杂的数据集中提取信号。我们从重力恢复与气候实验(GRACE)和GRACE后续(GRACE- fo)任务中获得的重力数据中提取了6个主要的独立分量。结果表明,观测到的大陆尺度质量变化可以有效地划分为几个空间模式,这些空间模式可能由不同的物理过程主导。虽然隐藏的独立物理过程不能被完全隔离,但一些重要的信号,如冰川融化、积雪积累、周期性气候信号和GIA效应,可以在不引入任何外部信息的情况下确定。研究还发现,时间对ICA结果有直接影响,极端事件(如2000年代后期的异常大降雪事件)的影响可能导致ICA结果的显著时空变化。ICA为更好地理解ais尺度的质量变化和特定区域尺度的时空信号变化提供了一种独特的信息方法。
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引用次数: 1
Separation of geophysical signals in the LAGEOS geocentre motion based on singular spectrum analysis 基于奇异谱分析的LAGEOS地心运动地球物理信号分离
IF 2.8 3区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Pub Date : 2021-01-01 DOI: 10.1093/gji/ggab063
Hongjuan Yu;Krzysztof Sośnica;Yunzhong Shen
We recompute the 26-yr weekly Geocentre Motion (GCM) time-series from 1994 to 2020 through the network shift approach using Satellite Laser Ranging (SLR) observations to LAGEOS1/2. Then the Singular Spectrum Analysis (SSA) is applied for the first time to separate and investigate the geophysical signals from the GCM time-series. The Principal Components (PCs) of the embedded covariance matrix of SSA from the GCM time-series are determined based on the w-correlation criterion and two PCs with large w-correlation are regarded as one periodic signal pair. The results indicate that the annual signal in all three coordinate components and semi-annual signal in both X and Z components are detected. The annual signal from this study agrees well in both amplitude and phase with those derived by the Astronomical Institute of the University of Bern and the Center for Space Research, especially for the Y and Z components. Besides, the other periodic signals with the periods of (1043.6, 85, 28), (570, 280, 222.7) and (14.1, 15.3) days are also quantitatively explored for the first time from the GCM time-series by using SSA, interpreting the corresponding geophysical and astrodynamic sources of aliasing effects of K1/O1, T2 and Mm tides, draconitic effects, and overlapping effects of the ground-track repeatability of LAGEOS1/2.
我们通过使用卫星激光测距(SLR)观测到LAGEOS1/2的网络偏移方法,重新计算了1994年至2020年的26年每周地球中心运动(GCM)时间序列。然后首次应用奇异谱分析(SSA)从GCM时间序列中分离和研究地球物理信号。基于w相关准则确定了GCM时间序列SSA嵌入协方差矩阵的主分量,并将两个具有大w相关的主分量视为一个周期信号对。结果表明,在所有三个坐标分量中都检测到了年信号,在X和Z分量中都探测到了半年信号。这项研究的年度信号在振幅和相位上与伯尔尼大学天文研究所和空间研究中心得出的信号非常一致,尤其是Y和Z分量。此外,还首次利用SSA从GCM时间序列中定量探测了周期为(1043.6,85,28),(570280222.7)和(14.115.3)天的其他周期信号,解释了K1/O1,T2和Mm潮汐混叠效应的相应地球物理和天体动力学来源,以及LAGEOS1/2的地面轨迹重复性的重叠效应。
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引用次数: 2
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Geophysical Journal International
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