Relationship Between Seismic Moment and Source Duration for Seismogenic Earthquakes in Taiwan: Implications for the Product of Static Stress Drop and the Cube of Rupture Velocity

Hwang, Robert R.; Ho, Cheng-Ying; Lin, Tzu-Wei; Chang, Wen‐Yen; Huang, Yu‐Te; Lin, Chiung-Yao

doi:10.1007/s00024-020-02429-9

Cited by 7 publications

(7 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…5b). Both subruptures also had the similar ∆𝜎 𝑠 𝑉 𝑟 3 to obey the source-scaling relationship proposed by Hwang et al (2020).…”

Section: Discussionmentioning

confidence: 68%

“…Ye et al (2016) noted that ∆𝜎 𝑠 𝑉 𝑟 3 remained approximately constant for a given earthquake in finite-fault inversions (Kanamori & Rivera, 2004). Hwang et al (2020) also proposed an inverse relationship between 𝑉 𝑟 and ∆𝜎 𝑠 and further derived the product ∆𝜎 𝑠 𝑉 𝑟 3 = 29.3 MPakm 3 s −3 from the observations of moderate-to-large earthquakes in Taiwan. Hence, we also investigated whether the 2019 Xiulin earthquake obeyed the conclusion of Hwang et al (2020).…”

Section: Introductionmentioning

confidence: 99%

“…Xiulin earthquake and compared them with those of the 2018 Hualien earthquake (Huang & Huang 2018;Hwang 2018;Lee et al 2019;Hwang et al 2019Hwang et al , 2020Hwang et al , 2022.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Rupture Directivity of the 2019 ML 6.3 Xiulin (Taiwan) Earthquake Estimated by Near-Field Seismograms: Implications for Source Scaling During Faulting

Hwang

Huang

Chang

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

This study deconvolved regional seismograms to derive the azimuth-dependent source time functions for the 2019 Xiulin earthquake in Hualien, Taiwan. Then, rupture directivity analysis was used to estimate the fault parameters, and the results revealed a rupture length of 11.5 km, a source duration of 7.37 s, and a rupture velocity (Vr) of 1.56 km/s, approximately 0.4 times the value of the crustal S-wave velocity. Furthermore, the multiple-event analysis indicated two subruptures during the earthquake. Notably, the average rupture and the subrupture shared the same product of ΔσsVr3 (Δσs: static stress drop) and thus obeyed a specific source-scaling relationship. In short, the 2019 Xiulin earthquake had a relatively low Vr and a relatively high Δσs. We noted similarities between the 2018 Hualien and 2019 Xiulin earthquakes when comparing the fault parameters; rupture directivity analysis revealed that the two events occurred on a west-dipping plane with a similar strike. Therefore, the 2019 Xiulin earthquake likely constituted the remaining energy release of the 2018 Hualien earthquake.

show abstract

“…5b). Both subruptures also had the similar ∆𝜎 𝑠 𝑉 𝑟 3 to obey the source-scaling relationship proposed by Hwang et al (2020).…”

Section: Discussionmentioning

confidence: 68%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Rupture Directivity of the 2019 ML 6.3 Xiulin (Taiwan) Earthquake Estimated by Near-Field Seismograms: Implications for Source Scaling During Faulting

Hwang

Huang

Chang

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Kanamori and Rivera (2004) proposed that the M 0 ∝ T 3 relation may not necessarily obey the source self-similarity. Another possibility for M 0 ∝ T 3 is under the condition that ΔσVr 3 = constant, where Vr is the rupture velocity (Kanamori and Rivera 2004;Hwang et al 2020). That is, both source self-similarity and ΔσVr 3 = constant can make M 0 ∝ T 3 hold.…”

Section: Versus M L and M W Versus M Lmentioning

confidence: 99%

Radiated seismic energy from the 2021 ML 5.8 and ML 6.2 Shoufeng (Hualien), Taiwan, earthquakes and their aftershocks

Hwang

Huang

Chang

et al. 2022

TAO

Self Cite

View full text Add to dashboard Cite

We calculated radiated seismic energy (ES), seismic moment (M0), and moment magnitude (MW) and then determined the ES–ML, ES–M0, M0–ML, and MW–ML relations for the 2021 Shoufeng earthquake sequence (2.5 < ML < 6.3), where ML is the local magnitude. Notably, a crossover magnitude was detected as ML = 4.0 for the earthquake sequence. For ML < 4.0, we obtained logM0 ∝ ML, MW ∝ 0.67ML, and a low ES/M0, indicating a low average stress drop; for ML > 4.0, logM0 ∝ 0.67ML, MW ∝ ML, and a high ES/M0 were present, and then there was a high average stress drop. These derived relations implied that source duration (T) is independent of M0 for ML < 4.0. Moreover, the M0 ∝ T3 relation seemed able to interpret those relations for ML > 4.0. Nevertheless, the ES–ML relation remains logES ∝ 2.0ML for 2.5 < ML < 6.3. From this study, the derived relations could not predict the source parameters for ML > 6.3 events. This might indicate that ML saturates beyond ML 6.3. Through such analyses, we not only established the relations among source parameters but also elucidated the basic physics of the earthquake sequence.

show abstract

“…Taiwan is located between the Eurasian and Philippine Sea plates and is one of the most seismically active regions in the world. Investigating the rupture behavior of earthquakes is important in the region of Taiwan, where many destructive earthquakes have occurred in the past few decades ( Hwang et al., 2020 ). In 2010, the JiaSian earthquake struck Southern Taiwan; this earthquake was the most powerful earthquake in the region since 1900.…”

Section: Introductionmentioning

confidence: 99%

A potential microbiological approach to the evaluation of earthquake-induced soil liquefaction

et al. 2021

View full text Add to dashboard Cite

Summary Earthquakes occur thousands of times every day around the world. They are naturally destructive seismic events and often result in soil liquefaction. Soil microbiota plays a vital role in soil environments and may serve as an effective indicator to assess soil liquefaction after earthquakes. This study aimed to detect the microbial community abundance and composition in soil samples of different depths. Soil samples were collected in Southern Taiwan immediately after the 2010 earthquake. Their physical characteristics were determined, and their microbial communities were analyzed through 16S amplicon sequencing. The results revealed that Nitrospirae phylum dominated in the liquefied layer. In particular, the genus HB118 , dominant in the liquefied layer, was not detected at other soil depths or in the expelled liquefied soil. This finding not only provides valuable insights into changes in microbial community composition at different soil depths after earthquakes but also suggests a useful indicator for monitoring liquefied soil.

show abstract

Relationship Between Seismic Moment and Source Duration for Seismogenic Earthquakes in Taiwan: Implications for the Product of Static Stress Drop and the Cube of Rupture Velocity

Cited by 7 publications

References 72 publications

Rupture Directivity of the 2019 ML 6.3 Xiulin (Taiwan) Earthquake Estimated by Near-Field Seismograms: Implications for Source Scaling During Faulting

Rupture Directivity of the 2019 ML 6.3 Xiulin (Taiwan) Earthquake Estimated by Near-Field Seismograms: Implications for Source Scaling During Faulting

Radiated seismic energy from the 2021 ML 5.8 and ML 6.2 Shoufeng (Hualien), Taiwan, earthquakes and their aftershocks

A potential microbiological approach to the evaluation of earthquake-induced soil liquefaction

Contact Info

Product

Resources

About