Crustal velocity structure of central Gansu Province from regional seismic waveform inversion using firework algorithm

Chen, Yanyang; Wang, Yanbin; Zhang, Yuansheng

doi:10.1007/s11589-017-0184-5

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…Taking 70 km, 90 km and 77 km as the lengths, L, of each section, a width, W , of 20 km, and a shear modulus µ of 34 GPa based on local velocity profiles (Chen et al, 2017b), we calculate the total M o and obtain M W = 7.8 ± 0.1 (Table 2.1).…”

Section: Average Slip and M Wmentioning

confidence: 99%

Crustal strain and seismic hazard of the NE Tibetan Plateau

Ou¹,

Daout²,

Rollins

et al. 2021

Preprint

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<p>Seismic hazard assessment for the NE Tibetan Plateau is of paramount importance because of the growing population density and the accelerated communication and trade activities along the rejuvenated Ancient Silk Road, following the Belt and Road Initiative, and the opening of the high speed railways. Previous-generation seismic hazard assessments were largely based on earthquake catalogues which are shorter than typical earthquake cycles and are temporally and spatially incomplete. This is exacerbated by the fact that magnitudes of many historical Chinese earthquakes are overestimated. In this study, we present new earthquake rate estimates for the NE Tibetan Plateau derived from both an InSAR strain rate map and a re-estimated magnitude of the 1920 Haiyuan Earthquake. First, we obtain a ~100 m resolution strain rate map from five years of Sentinel-1 InSAR data covering an area of 439254 km2 which shows strain concentrated along the Haiyuan and East Kunlun Faults and distributed across the Qilian thrusts and the West Qingling Fault. Second, the magnitude of the Haiyuan Earthquake has been re-estimated to Mw 7.9 &#177; 0.2 using both historical seismograms and offset measurements. Taking the total moment release rate given by the strain rate map and the magnitude of the 1920 Haiyuan Earthquake as the largest magnitude in the Gutenberg-Richter relationship, we generate rate-balancing frequency-magnitude models with different b values and percentages of seismic moment release. Comparing our models against four earthquake catalogues covering different periods and magnitude ranges suggests the following: (1) With a b value of 1 and 75% seismic moment release, the calculated relationship fits well the International Seismological Centre - Global Earthquakes Catalogue (ISC-GEM, 97 years) catalogue in the range Mw>6.5, but overestimates all other catalogues not containing the Haiyuan Earthquake; (2) keeping a b value of 1 and in order to fit the Global Centroid Moment Tensor Catalogue (GCMT, 34 years), the China Earthquake Networks Center Catalogue (CENC, 12 years) and the China Historical Strong Earthquakes Catalogue (CHSEC, 411 years), a low seismic release rate of 30% would be required; the resultant relationship also fits the ISC-GEM catalogue excluding the Haiyuan Earthquake and its aftershocks; (3) to fit all of the catalogues, it is necessary to reduce the b value to 0.7, in which case only 25% aseismic moment release would be required, giving confidence that Mw 7.9 &#177; 0.2 is likely the largest magnitude required to balance the tectonic strain in the NE Tibetan Plateau. This study highlights the dominating strain release by, and the effect on the b value of, the largest earthquake and demonstrates the advantage of combining tectonic strain and earthquake catalogues for seismic hazard assessment.</p>

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Section: Average Slip and M Wmentioning

confidence: 99%

Crustal strain and seismic hazard of the NE Tibetan Plateau

Ou¹,

Daout²,

Rollins

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Taking 70, 90, and 77 km as the lengths, L , of each section, a width, W , of 20 km, and a shear modulus μ of 34 GPa based on local velocity profiles (Chen et al., 2017), we calculate the total M o and obtain M W =7.8 ± 0.1 (Table 1). Uncertainty of 2 GPa in μ , 20 km in L , or 1.5 km in W only increases the uncertainty of M W by 0.02.…”

Section: Geomorphological Approachmentioning

confidence: 99%

Magnitude of the 1920 Haiyuan Earthquake Reestimated Using Seismological and Geomorphological Methods

Kulikova

et al. 2020

JGR Solid Earth

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Reported magnitudes ranging between 7.8 and 8.7 highlight a confusion about the true size of the 1920 Haiyuan earthquake, the largest earthquake recorded in the northeast Tibetan Plateau. We compiled a global data set of previously unlooked‐at historical seismograms and performed modern computational analyses on the digitized seismic records. We found the epicenter to be near Haiyuan town and obtained a moment magnitude of MW=7.9±0.2. Following traditional approaches, we obtained mB=7.9±0.3 with data from 21 stations and MS(20)=8.1±0.2 with data from three stations. Geomorphologically, we mapped the surface rupture and horizontal offsets on high‐resolution Pleiades satellite and drone imagery that covered the entire western and middle sections of the 1920 Haiyuan earthquake rupture and compiled offsets reported on the eastern section from field measurements in the 1980s. Careful discrimination between single‐event and cumulative offsets suggests average horizontal slips of 3.0±1.0 m on the western section, 4.5±1.5 m on the middle section, and 3.5±0.5 m on the eastern section, indicating a total moment magnitude of MW=7.8±0.1. Thus, the seismological and geomorphological results agree within the uncertainties, a weighted average giving a moment magnitude of MW=7.9±0.2 for the 1920 Haiyuan earthquake. It is likely that earthquake magnitudes based on the historical M were systematically overestimated.

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A Comprehensive Review of the Fireworks Algorithm

Tan

2019

ACM Comput. Surv.

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The fireworks algorithm, which is inspired from the phenomenon of fireworks explosion, is a special kind of swarm intelligence algorithm proposed in 2010. Since then, it has been attracting more and more research interest and has been widely employed in many real-world problems due to its unique search manner and high efficiency. In this article, we present a comprehensive review of its advances and applications. We begin with an introduction to the original fireworks algorithm. Then we review its algorithmic research work for single objective and multi-objective optimization problems. After that, we present the theoretical analyses of the fireworks algorithm. Finally, we give a brief overview of its applications and implementations. Hopefully, this article could provide a useful road map for researchers and practitioners who are interested in this algorithm and inspire new ideas for its further development.

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Crustal velocity structure of central Gansu Province from regional seismic waveform inversion using firework algorithm

Cited by 4 publications

References 19 publications

Crustal strain and seismic hazard of the NE Tibetan Plateau

Crustal strain and seismic hazard of the NE Tibetan Plateau

Magnitude of the 1920 Haiyuan Earthquake Reestimated Using Seismological and Geomorphological Methods

A Comprehensive Review of the Fireworks Algorithm

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