Articles | Volume 23, issue 9
https://doi.org/10.5194/nhess-23-3031-2023
https://doi.org/10.5194/nhess-23-3031-2023
Research article
 | 
08 Sep 2023
Research article |  | 08 Sep 2023

Rapid estimation of seismic intensities by analyzing early aftershock sequences using the robust locally weighted regression program (LOWESS)

Huaiqun Zhao, Wenkai Chen, Can Zhang, and Dengjie Kang

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Cited articles

Atkinson, G. M. and Wald, D. J.: “Did You Feel It?” intensity data: A surprisingly good measure of earthquake ground motion, Seismol. Res. Lett., 78, 362–368, https://doi.org/10.1785/gssrl.78.3.362, 2007 
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Baranov, S., Narteau, C., and Shebalin, P.: Modeling and prediction of aftershock activity, Surv. Geophys., 43, 437–481, https://doi.org/10.1007/s10712-022-09698-0, 2022. 
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Bonilla, M. G., Mark, R. K., and Lienkaemper, J.: Statistical relations among earthquake magnitude, surface rupture length, and surface fault displacement, B. Seismol. Soc. Am., 74, 2379–2411, https://doi.org/10.1785/BSSA0740062379, 1984. 
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Short summary
Early emergency response requires improving the utilization value of the data available in the early post-earthquake period. We proposed a method for assessing seismic intensities by analyzing early aftershock sequences using the robust locally weighted regression program. The seismic intensity map evaluated by the method can reflect the range of the hardest-hit areas and the spatial distribution of the possible property damage and casualties caused by the earthquake.
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