青藏高原中强地震InSAR震源参数反演及其与地震目录的比较

Source Parameter Inversion of Moderate to Strong Earthquakes and Its Comparison with Earthquake Catalogs in Tibetan Plateau Based on InSAR Observations

  • 摘要: 合成孔径雷达干涉测量(interferometric synthetic aperture radar,InSAR)技术具有高空间分辨率和高形变监测精度的特点,为研究浅源中强震级地震的震源机制提供了有力约束。采用InSAR相位堆叠和贝叶斯反演方法,构建了2014年10月至2022年10月发生在青藏高原的42次中强震级(Mw 4.8~6.6)地震的震源参数目录,探讨其与地震目录的差异。结果显示,与通用地震目录确定的地震质心深度相比,InSAR深度定位结果更浅;全球质心矩张量目录的震中位置存在系统性偏差;InSAR反演结果能够更精细地表达断层的几何形态。研究结果可更新和完善青藏高原的地震目录,为改进区域经验标度关系提供了重要依据,可服务于区域地震危险性评估。

     

    Abstract:
    Objectives Source parameters in earthquake catalogs are commonly derived from inversions of seismic-wave observations, but their reliability is often limited by the number and spatial distribution of local seismic stations and uncertainties in crustal velocity models.Interferometry synthetic aperture radar (InSAR) provides high-spatial-resolution, centimeter-level coseismic deformation measurements, offering an effective way to better constrain the source parameters of shallow earthquakes. However, the most existing InSAR-based studies have focused on larger events (Mw>6.0), whereas moderate earthquakes, which occur more frequently, remain comparatively underexplored, and a comprehensive, systematic InSAR earthquake catalog has not yet been established. The Tibetan Plateau is an ideal region for developing an InSAR earthquake catalog, given its limited seismic-station density, commonly low seismic signal-to-noise ratios, and generally good InSAR coherence for coseismic deformation monitoring. Here, we develop and analyze an InSAR-based catalog of moderate earthquakes across the Tibetan Plateau and evaluate its differences from conventional earthquake catalogs.
    Methods We constructed a catalog of source parameters for 42 moderate-to-strong shallow earthquakes (Mw 4.8-6.6) on the Tibetan Plateau from October 2014 to October 2022. We first assessed the quality of coseismic Sentinel-1 interferograms available from the Alaska Satellite Facility (ASF) platform. Depending on interferogram quality, we applied two processing strategies.For high-quality events, we utilize generic atmospheric correction online service for InSAR (GACOS) assisted differential InSAR (D-InSAR) approach. For low-quality events, we adopted a phase-stacking strategy. These procedures yielded coseismic deformation fields for all 42 earthquakes, which were then used to invert earthquake source parameters within a Bayesian framework.
    Results The inverted events comprise 13 thrust, 10 normal, and 19 strike earthquakes. Overall, the model fits are good, with root mean square (RMS) misfits below 2 cm for the majority of events. Parameter reliability and uncertainty were further evaluated through comparisons with published studies and by examining the posterior credible intervals from the Bayesian inversions. Compare to conventional earthquake catalogs, the InSAR-derived catalog provides more accurate centroid depths and horizontal locations. Depth discrepancies reported in conventional catalogs can reach 4-11 km. Among the existing catalogs, the China Earthquake Networks Center (CENC) solutions show higher horizontal location accuracy than United States Geological Survey (USGS) and Global Centroid Moment Tensor (GCMT), with a mean offset of 7.4 km, whereas the GCMT locations exhibit a 11.9 km systematic bias and a distinct spatial pattern that correlates with topography, trending from high-elevation regions toward lower elevations. In contrast, fault-geometry parameters reported by conventional catalogs are broadly consistent with the InSAR solutions. The absolute differences are 10°-11° in dip and 9°-10° in strike. This study further integrates the InSAR-based catalog with previously published source datasets to derive empirical scale relationships for earthquakes over a broader magnitude range (Mw 4.8-8.03) on the Tibetan Plateau.
    Conclusions The study shows that the InSAR-derived catalog significantly supplements the existing global catalog and can improve empirical scale relationships, facilitating scientific reference for regional seismic risk assessment.

     

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