Fault slip distribution of the 2015 Mw7.8 Gorkha (Nepal) earthquake estimated from InSAR and GPS measurements

Duan, Hongbo; Wu, Shao-Yu; Kang, Ming-Zhe; Liu, Xie; Chen, Lingkang

doi:10.1016/j.jog.2020.101767

Cited by 8 publications

(5 citation statements)

References 28 publications

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“…14 , causing notable leaps and oscillations. The standard deviation of the model’s fitting residual was 0.0784 m. If the slip momentum smoothing condition is used, these leaps in the slip distribution results can be avoided 26 , which was verified in this study. The maximum slip area and the significant slip area in Fig.…”

Section: Discussionsupporting

confidence: 76%

Coseismic fault-slip distribution of the 2019 Ridgecrest Mw6.4 and Mw7.1 earthquakes

Gao

Duan

Zhang

et al. 2021

Sci Rep

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The 2019 Ridgecrest, California seismic sequence, including an Mw6.4 foreshock and Mw7.1 mainshock, represent the largest regional seismic events within the past 20 years. To obtain accurate coseismic fault-slip distribution, we used precise positioning data of small earthquakes from January 2019 to October 2020 to determine the dip parameters of the eight fault geometry, and used the Interferometric Synthetic Aperture Radar (InSAR) data processed by Xu et al. (Seismol Res Lett 91(4):1979–1985, 2020) at UCSD to constrain inversion of the fault-slip distribution of both earthquakes. The results showed that all faults were sinistral strike-slips with minor dip-slip components, exception for dextral strike-slip fault F2. Fault-slip mainly occurred at depths of 0–12 km, with a maximum slip of 3.0 m. The F1 fault contained two slip peaks located at 2 km of fault S4 and 6 km of fault S5 depth, the latter being located directly above the Mw7.1hypocenter. Two slip peaks with maximum slip of 1.5 m located 8 and 20 km from the SW endpoint of the F2 fault were also identified, and the latter corresponds to the Mw6.4 earthquake. We also analyzed the influence of different inversion parameters on the fault slip distribution, and found that the slip momentum smoothing condition was more suitable for the inversion of the earthquakes slip distribution than the stress-drop smoothing condition.

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Section: Discussionsupporting

confidence: 76%

Coseismic fault-slip distribution of the 2019 Ridgecrest Mw6.4 and Mw7.1 earthquakes

Gao

Duan

Zhang

et al. 2021

Sci Rep

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“…The aftershocks including two events of M w 6.6 and M w 6.7 took place in an area of 150 km long and 50 km wide, defining a shallow north-dipping plane on the MHT. The inversion of the coseismic slip distribution of the 2015 mainshock has modelled two peaks of slip of 5.9 m and 6.32 m, with a marked concentration of slip along the strike direction of the fault between the mainshock and the M w 7.3 aftershock locations (Duan et al, 2020).…”

Section: Gorkha (Nepal) Earthquakementioning

confidence: 99%

Lessons Learned from the Occurrences of Major Devastating Mw≥7.5 Earthquakes in the Asian Countries during the last 25 years

Mandal

2021

J Geol Soc India

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The loss of human lives, properties and damages due to the occurrences of moderate to large size earthquakes have been a major concern for the economic development of many countries in the world. Earthquakes would continue to occur in a region and would remain among the most devastating natural hazards. Seismically active countries viz., China, India, Japan, USA, Mexico and a few other countries are classified as high earthquake hazard regions while continents/countries with low rate of earthquake occurrence include Africa, Australia, Canada etc. On many occasions in the past, high earthquake hazard countries have experienced major economic setbacks due to the occurrences of major earthquakes. In the present paper, the causative mechanisms of major devastating earthquakes of M w ≥ ≥ ≥ ≥ ≥7.5 in the Asian countries (including high hazard countries like China, Japan, India, Taiwan and Nepal) during the past 25 years and major damages rendered by these earthquakes is discussed.

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“…In Table . 3, the first column is the parameter name, the second, third, and fourth columns are the best quality, average, and median values of the parameters, and the fifth and sixth columns are the 2.5% and 97.5% confidence intervals. with most results 3,7,36,37 . We use the parameters in Table .3 to simulate the surface horizontal displacement, as shown in Fig.…”

Section: Source Parameters Of the 2015 Mw78 Earthquake In Nepalmentioning

confidence: 94%

Influence of different factors on coseismic deformation of the 2015 Mw7.8 earthquake in Nepal

Wu,

Dong,

Xia

et al. 2023

Preprint

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In Geophysics, topographic factors are observations that can be directly measured, but they are often ignored to simplify the model. Studying the coseismic deformation caused by earthquakes is helps to accurately determining the parameterization of the epicenter and providing a reference for the reasonable layout of coseismic observation stations and GNSS observation stations. After the Mw7.8 earthquake in Nepal in 2015, GCMT, USGS, GFZ, CPPT, and other institutions released their epicenter parameter. However, according to their parameters, the coseismic displacements simulated by the spectral-element method are quite different from the GNSS observations. Firstly, this paper inverts the geometric parameters of the seismogenic fault with Nepal’s coseismic GNSS displacement. The spectral-element method determines the source's location and depth under the heterogeneous terrain and outputs the source parameters. Among the results of many studies, the surface source is more consistent with the generation mechanism of large earthquakes. Secondly, this paper calculates the fault slip distribution of this earthquake using SDM(Steepest Descent Method) based on GNSS and InSAR data, which is divided into 1500 subfaults and the moment tensor of each subfault is calculated. This paper studies the distribution characteristics of the coseismic deformation field of the Mw7.8 earthquake in Nepal in 2015 under homogeneous terrain, and heterogeneous terrain. The results show that the influence of only homogeneous terrain factors is ~ 20%. This paper believes that the influence of the undulating terrain on the calculation of coseismic deformation cannot be ignored.

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Fault slip distribution of the 2015 Mw7.8 Gorkha (Nepal) earthquake estimated from InSAR and GPS measurements

Cited by 8 publications

References 28 publications

Coseismic fault-slip distribution of the 2019 Ridgecrest Mw6.4 and Mw7.1 earthquakes

Coseismic fault-slip distribution of the 2019 Ridgecrest Mw6.4 and Mw7.1 earthquakes

Lessons Learned from the Occurrences of Major Devastating Mw≥7.5 Earthquakes in the Asian Countries during the last 25 years

Influence of different factors on coseismic deformation of the 2015 Mw7.8 earthquake in Nepal

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