The January 11, 2018, M<sub>w</sub> 6.0 Bago‐Yoma, Myanmar Earthquake: A Shallow Thrust Event Within the Deforming Bago‐Yoma Range

Fadil, Wardah; Lindsey, E. O.; Wang, Yu; Maung, Phyo Maung; Luo, Heng; Swe, Tint Lwin; Tun, Pa Pa; Wei, Shengji

doi:10.1029/2020jb021313

Cited by 5 publications

(6 citation statements)

References 55 publications

(117 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Monywa volcano has the most recent eruption records in the Holocene, which formed a series of maars (Belousov et al, 2018;Maury et al, 2004). Several large earthquakes struck the CML, suggesting the presence of active blind faults below it (Figure 1) (Fadil et al, 2021(Fadil et al, , 2023.…”

Section: Tectonic Backgroundmentioning

confidence: 99%

See 1 more Smart Citation

New Insights Into Active Faults Revealed by a Deep‐Learning‐Based Earthquake Catalog in Central Myanmar

Yang,

Xiao,

Wei

et al. 2024

Geophysical Research Letters

Self Cite

View full text Add to dashboard Cite

Myanmar bears a high risk of destructive earthquakes, yet detailed seismicity catalogs are rare. We designed a deep‐learning‐based data processing pipeline and applied it to the data recorded by a large‐aperture (∼400 km) seismic array in central Myanmar to produce a high‐resolution earthquake catalog. We precisely located 1891 earthquakes at shallow (<50 km) depth, a 2‐fold increase compared to the traditional procedures. The new catalog reveals the Kabaw Fault seismicity disappears south of ∼22.8°N, where the deeper (20–40 km) seismicity appears west of the southern Kabaw Fault. Such seismicity contrast along the strike of the Kabaw Fault possibly implies an along‐strike change of deformation responses to the shortening process by the India plate oblique subduction. The middle segment of the Sagaing Fault is likely locked and prone to hosting large earthquakes according to the derived low b‐value.

show abstract

Section: Tectonic Backgroundmentioning

confidence: 99%

“…(EOS-Myanmar) seismic network (Fadil et al, 2021(Fadil et al, , 2023X. Wang et al, 2019), TREMBLE seismic network (X. , and the Myanmar National seismic network (MM; Thiam et al, 2017).…”

mentioning

confidence: 99%

New Insights Into Active Faults Revealed by a Deep‐Learning‐Based Earthquake Catalog in Central Myanmar

Yang,

Xiao,

Wei

et al. 2024

Geophysical Research Letters

Self Cite

View full text Add to dashboard Cite

show abstract

“…In this case, the parameters deriving the minimum RMSm are treated as the optimum model (best fit model to the data). RMSm distributions have also been used to judge the instability of optimum model parameters such as trade-offs among parameters (Fadil et al, 2021). However, RMSm is not a direct criterion to evaluate model parameters.…”

Section: Introductionmentioning

confidence: 99%

Probability distributions of model parameters obtained by grid search – application to the geomagnetic anomaly source estimation problem

Ichihara

Kuwatani

Tada

et al. 2023

Preprint

View full text Add to dashboard Cite

Grid search is widely used in geophysical studies to determine model parameters that explain observed data. The residual between observed data and the model-predicted response, such as root mean square misfit, is usually used as a criterion to select the optimal model parameters. However, root mean square misfit is not a direct criterion for evaluating the reliability of a solution. In this study, we present a method to convert distributions of root mean square misfits obtained from a grid search into probability distributions to evaluate the results statistically based on a Bayesian framework. We applied the proposed method to synthetic geomagnetic anomaly datasets to evaluate the source position and magnitude of magnetic moments. The results are effectively visualized using marginal probability distributions for both well- and ill-posed problems, which are difficult for only root mean square misfits to evaluate. Then we applied the method to real geomagnetic anomaly data reflecting temporal magnetic variations due to volcanic activity in the Nishinoshima volcano. The resultant probability distributions indicate that the source must be in a narrow area northwest of the summit of the volcano with a large magnitude of demagnetization. The method is convenient and thus can be widely applied to multiple geophysical problems, including searches for the source locations of earthquakes, surface geodetic deformation, and magnetic change, and to their joint analyses. In addition, the method easily utilizes previous grid search results to evaluate the probability of model parameters.

show abstract

“…2.1a). These faults also have the potential to rupture as moderate to large events as indicated by the occurrence of a few M ³6 events in recent years (e.g., Fadil et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…, ~15 km along the North Anatolian Fault(Yolsal-Cevikbilen et.al, 2012)) Fadil et al, (2021). also showed that the 2018 Mw 6.0 Bago-Yoma earthquake ruptured a thrust fault between 3-8 km beneath the CMB, contrary to the >10 km depth reported by the global catalogs.…”

mentioning

confidence: 96%

Insights into the tectonics in Myanmar from new high-resolution and integrated focal mechanism catalogs

Wardah¹

View full text Add to dashboard Cite

The contribution of the co-authors are as follows:• I processed the seismic data, conducted the earthquake relocations, focal mechanism waveform inversion and prepared the manuscript draft.• Asst. Prof. Shengji Wei guided the project direction, reviewed the results and edited the manuscript draft.• Dr. Kyle Bradley assisted with the figure design, tectonic interpretations and reviewed the manuscript draft.• Dr. Wang Yu assisted in the geologic interpretations and reviewed the manuscript draft.

show abstract

The January 11, 2018, M_w 6.0 Bago‐Yoma, Myanmar Earthquake: A Shallow Thrust Event Within the Deforming Bago‐Yoma Range

Cited by 5 publications

References 55 publications

New Insights Into Active Faults Revealed by a Deep‐Learning‐Based Earthquake Catalog in Central Myanmar

New Insights Into Active Faults Revealed by a Deep‐Learning‐Based Earthquake Catalog in Central Myanmar

Probability distributions of model parameters obtained by grid search – application to the geomagnetic anomaly source estimation problem

Insights into the tectonics in Myanmar from new high-resolution and integrated focal mechanism catalogs

Contact Info

Product

Resources

About

The January 11, 2018, Mw 6.0 Bago‐Yoma, Myanmar Earthquake: A Shallow Thrust Event Within the Deforming Bago‐Yoma Range

Cited by 5 publications

References 55 publications

New Insights Into Active Faults Revealed by a Deep‐Learning‐Based Earthquake Catalog in Central Myanmar

New Insights Into Active Faults Revealed by a Deep‐Learning‐Based Earthquake Catalog in Central Myanmar

Probability distributions of model parameters obtained by grid search – application to the geomagnetic anomaly source estimation problem

Insights into the tectonics in Myanmar from new high-resolution and integrated focal mechanism catalogs

Contact Info

Product

Resources

About

The January 11, 2018, M_w 6.0 Bago‐Yoma, Myanmar Earthquake: A Shallow Thrust Event Within the Deforming Bago‐Yoma Range