• DOI:10.1785/0120100045
• Corpus ID: 129445695

Magnitude Scaling of Early-Warning Parameters for the Mw 7.8 Tocopilla, Chile, Earthquake and Its Aftershocks

@article{Lancieri2011MagnitudeSO,
  title={Magnitude Scaling of Early-Warning Parameters for the Mw 7.8 Tocopilla, Chile, Earthquake and Its Aftershocks},
  author={Maria Lancieri and Andres Fuenzalida and Sergio Ruiz and Ra{\'u}l Madariaga},
  journal={Bulletin of the Seismological Society of America},
  year={2011},
  volume={101},
  pages={447-463}
}

• M. Lancieri, A. Fuenzalida, +1 author R. Madariaga
• Published 1 April 2011
• Physics
• Bulletin of the Seismological Society of America

We studied the correlation between the final event magnitude and four parameters obtained from the early portion of P and S phases for a set of high quality subduction events. These relationships are used in the framework of earthquake early- warning systems for real-time magnitude estimation. The investigated parameters are thelow-pass-filteredpeakdisplacement(PD),theintegralofthevelocitysquared (IV2), and the predominant and characteristic periods (τp and τc). We created a dataset from the continuous records of the first twoweeks following the 14 November 2007 Mw 7.8 Tocopilla (Chile) earthquake. The dataset includes 69 events with magnitudes greater than 4, among them the main event (Mw 7.8), the main aftershocks of Mw 6.7 occurred on November 15, and 4 events with magnitudegreater than 6.The low-pass-filtered PD readonshortP-phaseandS-phasewindowsiswellcorrelated withthefinalmagnitude, confirming previous results. Indeed when examining 2-s timewindows of Pwaves, we didnotobserveanysaturationeffectformagnitudesgreaterthan6.5;however,thereisa slope change in the regression curve. A similar result is obtained from the integral of squared velocity computed over short windows around P and S waves. The character- istic and predominant periods are correlated with magnitudes up to Mw 6; but they clearly do not scale with the magnitude for the stronger events. Our observations offer insight into the feasibility of an early-warning system in Chile.