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Postseismic Deformation of the M_s 8.1 Nepal Earthquake in 2015 from GPS Observations

机译:从GPS观测资料看2015年M_s 8.1尼泊尔地震的地震后形变

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On April 25, 2015, the Nepal M_s 8.1 earthquake took place in the Himalayan seismic belt on the southern margin of Tibetan Plateau. After the earthquake, the China Earthquake Administration established Immediately 13 postseismic GPS continuous stations in the southern Tibetan region. In this study, such data, the data of China's crustal movement observation network in the southern Tibet region and the data of GPS continuous stations in Nepal are used to estimate the postseismic deformation of the GPS station. Three postseismic deformation models, i.e., a logarithmic model, an exponential model and an integrated combination, are used for fitting GPS postseismic deformation. The Markov Chain Monte Carlo algorithm, based on a Bayesian framework, is applied to invert model parameters. The results show that the integrated model for the logarithmic model and exponential model can accurately fit the postseismic deformation observed by GPS, indicating that the postseismic deformation observed by GPS may involve two different deformation mechanisms with multi-scale characteristics. Based on the analysis of the spatial-temporal distribution of the postseismic deformation field and its comparison with the coseismic deformation field, it is considered that the afterslip mainly occurs in the deep area where the coseismic rupture extends northward, while the seismic risk in the shallow area where the coseismic rupture is not broken still deserves further attention.
机译:2015年4月25日,尼泊尔M_s 8.1地震在青藏高原南缘的喜马拉雅地震带发生。地震发生后,中国地震局在西藏南部立即建立了13个地震后GPS连续站。在这项研究中,这些数据,中国在西藏南部地区的地壳运动观测网络的数据和尼泊尔的GPS连续站的数据被用于估算GPS站的地震后变形。三种后震变形模型,即对数模型,指数模型和集成组合,用于拟合GPS后震变形。基于贝叶斯框架的马尔可夫链蒙特卡罗算法用于模型参数的反演。结果表明,对数模型和指数模型的集成模型可以准确拟合GPS观测到的地震后形变,表明GPS观测到的地震后形变可能涉及两种具有多尺度特征的变形机制。通过对震后形变场的时空分布分析及与同震形变场的比较,认为后滑主要发生在同震破裂向北延伸的深部地区,而浅部地震的危险性较大。同震破裂未破裂的区域仍然值得进一步关注。

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