- Department of Geosciences, National Taiwan University, Taipei, Taiwan
The Local Magnitude (ML), was the earliest proposed magnitude scale, allows for rapid determination based on observed amplitudes and a zero magnitude reference amplitudes (A0) derived from local events. However, the amplitudes are susceptible to external factors, the physically robust Moment Magnitude (Mw) was proposed. The previous studies showed a 1:1 relationship between ML and Mw for ML < 6.5 in Southern California; however, ML in Taiwan tend to overestimate when compare to Mw due to different regional attenuation characteristics. Although the previous study has recalibrated the logA0 attenuation model for shallow earthquakes in Taiwan, deep events exhibit an even more significant overestimation, averaging overestimate 0.528. Therefore, this study aims to discuss deep earthquakes in the Taiwan and establish a new logA0 attenuation model for deep events. Since models relying solely on hypocentral distance (R) result in depth-dependent residuals, a depth term (D) was incorporated to account for the physical characteristic of deep seismic waves often propagating through high-Q plates. The derived regression model is:
logA0 = 0.097 - 1.587logR - 0.0014R + 0.417logD ± 0.273
The results demonstrate that logA0 attenuation varies distinctly with distance at different depths, aligning with Richter mentioned that different depth events require distinct calibration. Furthermore, the logA0 value at a hypocentral distance 100 km differs from that of shallow event models, indicating the difference in attenuation properties. The recalibrated ML demonstrates no depth dependency and a consistent 1:1 relationship with Mw, with a standard deviation ±0.160. This study proposed model provides a rapid and precise ML calculation. This new model enhances the reliability of real-time hazard assessment and reduces magnitude conversion errors in catalog combination.
How to cite: Lin, X.-Y. and Wu, Y.-M.: Discussion of Local Magnitude (ML) Scale for Deep Earthquakes in Taiwan, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3299, https://doi.org/10.5194/egusphere-egu26-3299, 2026.