The 19 September 2017 (Mw7.1) Intermediate‐Depth Mexican Earthquake: A Slow and Energetically Inefficient Deadly Shock

Mirwald, Aron; Cruz‐Atienza, V. M.; Díaz‐Mojica, John; Iglesias, A.; Singh, S. K.; Villafuerte, Carlos; Tago, Josué

doi:10.1029/2018gl080904

Cited by 22 publications

(6 citation statements)

References 57 publications

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“…PSO (Kennedy, 1995)is a bionic artificial intelligence non-linear inversion algorithm, and it has been effectively applied in geophysical inversion problems (Mirwald et al, 2019). In basic PSO method, the solution to the non-linear problem is regarded as the food in space.…”

Section: Psomentioning

confidence: 99%

“…This model establishes a non-linear relationship between fault parameters and surface deformation, and has been verified and applied in many previous studies (Dominguez et al, 2003;De Natale et al, 2011;Magen et al, 2020). Other usually used inversion methods include the linear methods such as least square method (Shaorong, 1991), and the non-linear methods such as simulated annealing (SA) Method (Jónsson et al, 2002;Pedersen et al, 2003), genetic algorithm (GA) (Nunnari et al, 2005;Caijun and Yangmao, 2008;Díaz-Mojica et al, 2014), artificial neural network algorithm (ANNA) (Zhang et al, 2002), particle swarm optimization (PSO) (Mirwald et al, 2019), and multipeaks particle swarm optimization (MPSO) (Wanpeng and Zhenhong, 2010).…”

Section: Introductionmentioning

confidence: 98%

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Accuracy evaluation on five non-linear methods for fault parameter inversion of different-type fault earthquakes

Jin

Zhao

2023

Front. Earth Sci.

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Accurate inversion of seismic fault parameters has been a challenge in the studies of geophysical non-linear inversion problems. Many non-linear methods such as Simulated Annealing (SA), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Multipeaks Particle Swarm Optimization (MPSO), have usually been applied to inverse the fault parameters from geodetic observation data. However, their accuracy and availability can vary from different-type fault earthquakes (pure strike-slip, pure dip-slip fault, oblique-slip fault earthquakes). In order to evaluate the accuracy and availability of these non-linear methods on inversion for fault parameters of different-type fault earthquakes, we applied the SA, GA, PSO, MPSO methods and a new non-linear method—Black Hole Particle Swarm Optimization (BHPSO), to inverse fault parameters of different-type earthquakes from synthetic and observed GPS and InSAR data. We found that the MPSO and BHPSO performed better than SA, GA, and PSO for inversion from both the synthetic and observed data. The synthetic data simulation results showed that the Root-Mean-Square Errors (RMSEs) of MPSO and BHPSO methods were 0.01–0.06 m, smaller than those of SA, GA and PSO. We then applied these five methods to inverse fault parameters of two real earthquakes—the 2020 Nevada Mw 6.4 earthquake and 2021 Maduo Mw 7.4 earthquake, from observed GPS and InSAR data. We found that the RMSEs of MPSO and BHPSO were 0.005–0.195 m, also smaller than those of SA, GA, and PSO, and the MPSO and BHPSO performed better than SA, GA, and PSO. The results in this study demonstrated that the MPSO and BHPSO, can hold high accuracy and availability for inversion of fault parameters of different-type fault earthquakes.

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Section: Psomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Accuracy evaluation on five non-linear methods for fault parameter inversion of different-type fault earthquakes

Jin

Zhao

2023

Front. Earth Sci.

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“…The last SSE of the region, which began in May 2017 and ended in June 2018, occurred during the period of intense seismic activity in the region. In September 2017, two large intraslab earthquakes take place, in Chiapas area (Mw 8.1, 07 September 2017) and in Puebla state (Mw 7.2, 19 September 2017) ( Figure 1a) (Melgar, Pérez-Campos, et al, 2018;Melgar, Ruiz-Angulo, et al, 2018;Mirwald et al, 2019;Segou & Parsons, 2018;Suárez et al, 2019). In February 2018, an interface thrust earthquake occurred in Oaxaca state (Pinotepa earthquake, Mw 7.1, 16 February 2018).…”

Section: Journal Of Geophysical Research: Solid Earthmentioning

confidence: 99%

Independent Component Analysis and Parametric Approach for Source Separation in InSAR Time Series at Regional Scale: Application to the 2017–2018 Slow Slip Event in Guerrero (Mexico)

et al. 2020

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Separating different sources of signal in Interferometric Synthetic Aperture Radar (InSAR) studies over large areas is challenging, especially between the long‐wavelength changes of atmospheric conditions and tectonic deformations, both correlated to elevation. In this study, we focus on the 2017–2018 slow slip event (SSE) in the Guerrero state (Mexico) where (1) the permanent GPS network has a low spatial density (less than 30 stations in an area of 300 × 300 km) with uneven distribution; (2) the tropospheric phase delays can be as high as 20 cm of apparent ground displacements, with a complex temporal evolution; (3) the tested global weather models fail to correct interferograms with enough accuracy (with residual tropospheric signal higher than the tectonic signal); and (4) the surface displacement caused by the seismic cycle shows complex interactions between seismic sequences and aseismic events. To extract the SSE signal from Sentinel‐1 InSAR time series, we test two different approaches. The first (parametric method) consists of a least squares linear inversion, imposing a functional form for each deformation or atmospheric component. The second uses independent component analysis of the InSAR time series. We obtain time series maps of surface displacements along the radar line of sight associated with the SSE and validate these results with a comparison to GPS. Combining those two approaches, we propose a method to separate atmospheric delays and tectonic deformation on time series data not corrected from atmospheric delays. From the extracted ground deformation maps, we propose a first‐order slip inversion model at the subduction interface during this SSE.

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“…Black lines indicate the distribution of seafloor fabric. Purple, yellow, and blue shaded areas show zones of ID earthquakes, thrust earthquakes, and recent slow slip events (SSE), respectively (modified after Mirwald et al., 2019; Cruz‐Atienza et al., 2021). (b) Thermal model (Manea & Manea, 2011) and seismic features (SSN, 2020) in western and central Mexico.…”

Section: Introductionmentioning

confidence: 99%

Fluid‐Induced Fault Reactivation Due To Brucite + Antigorite Dehydration Triggered the Mw7.1 September 19th Puebla‐Morelos (Mexico) Intermediate‐Depth Earthquake

Gutiérrez-Aguilar

Hernández‐Uribe

Holder

et al. 2022

Geophysical Research Letters

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The young oceanic Cocos plate (<20 Myr; Müller et al., 2008), in western Mexico, subducts underneath North America's continental lithosphere at an angle of ∼15° at the Guerrero trench (Pérez-Campos et al., 2008). Inland ∼125 km, subduction becomes near-horizontal for 150 km, before steepening to ∼75° and extending to ∼550 km depth (Pérez-Campos et al., 2008). Historically, earthquakes in Mexico occur along the Pacific coast megathrust (Figure 1), including the devastating 19 September 1985 Mw8.5 Michoacán earthquake. The 19 September 2017 Mw7.1 Puebla-Morelos earthquake is considered atypical due to its location as it nucleated inland (∼250 km from the trench; Figure 1) near the end of the Cocos flat slab segment where the subduction dip angle steepens, with a hypocenter located at ∼57 km depth, within the Cocos lithospheric mantle (Servicio Sismológico Nacional-SSN, 2020). This earthquake caused an unprecedented tragedy in the modern history of Mexico, causing 246 deaths and the collapse of 44 buildings (Mayoral et al., 2017).Seismicity can occur within the slab and at greater depths, ∼50-300 km (i.e., intermediate-depth (ID) seismicity; Green & Houston, 1995;Yamasaki & Seno, 2003). The origin of ID earthquakes has been hypothesized to be related to the metamorphic dehydration of the subducting oceanic lithosphere as the location of these earthquakes correlates with the depth where dehydration reactions occur within the slab (

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The 19 September 2017 (M_w7.1) Intermediate‐Depth Mexican Earthquake: A Slow and Energetically Inefficient Deadly Shock

Cited by 22 publications

References 57 publications

Accuracy evaluation on five non-linear methods for fault parameter inversion of different-type fault earthquakes

Accuracy evaluation on five non-linear methods for fault parameter inversion of different-type fault earthquakes

Independent Component Analysis and Parametric Approach for Source Separation in InSAR Time Series at Regional Scale: Application to the 2017–2018 Slow Slip Event in Guerrero (Mexico)

Fluid‐Induced Fault Reactivation Due To Brucite + Antigorite Dehydration Triggered the Mw7.1 September 19th Puebla‐Morelos (Mexico) Intermediate‐Depth Earthquake

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