Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 23, issue 9
Articles | Volume 23, issue 9
https://doi.org/10.5194/nhess-23-3031-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-3031-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 9
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

Viewed

Total article views: 1,845 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,329 439 77 1,845 69 60
  • HTML: 1,329
  • PDF: 439
  • XML: 77
  • Total: 1,845
  • BibTeX: 69
  • EndNote: 60
Views and downloads (calculated since 12 Oct 2022)
Cumulative views and downloads (calculated since 12 Oct 2022)

Viewed (geographical distribution)

Total article views: 1,845 (including HTML, PDF, and XML) Thereof 1,753 with geography defined and 92 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Apr 2025
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint