Integrating macroseismic intensity distributions with  a probabilistic approach: an application in Italy

Antonucci, Andrea; Rovida, Andrea; D'Amico, Vera; Albarello, Dario

doi:https://doi.org/10.5194/nhess-21-2299-2021

Articles | Volume 21, issue 8

https://doi.org/10.5194/nhess-21-2299-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-21-2299-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 8

Research article

|

03 Aug 2021

Research article |

| 03 Aug 2021

Integrating macroseismic intensity distributions with a probabilistic approach: an application in Italy

Andrea Antonucci, Andrea Rovida, Vera D'Amico, and Dario Albarello

Download

Final revised paper (published on 03 Aug 2021)
Preprint (discussion started on 22 Apr 2021)

Interactive discussion

Status: closed

RC1:
'Comment on nhess-2021-113', Paolo Gasperini, 07 May 2021

See attached pdf

Citation: https://doi.org/10.5194/nhess-2021-113-RC1
- AC1: 'Reply on RC1', Andrea Antonucci, 11 Jun 2021
  
  Goodmorning,
  
  we would like to thank the referee for the positive comments and suggestions.
  
  In the attachment you will find a pdf file with our replies to the point raised in your review in red color.
  Thank you and best regards
  Andrea Antonucci and co-authors
  
  Citation: https://doi.org/10.5194/nhess-2021-113-AC1
RC2:
'Comment on nhess-2021-113', Vasiliki Kouskouna, 28 May 2021

See attached file

Citation: https://doi.org/10.5194/nhess-2021-113-RC2
- AC2: 'Reply on RC2', Andrea Antonucci, 11 Jun 2021
  
  Goodmorning,
  
  we would like to thank the referee for the positive comments and suggestions.
  
  In the attachment you will find a pdf file with our replies to the point raised in your review in red color.
  Thank you and best regards
  Andrea Antonucci and co-authors
  
  Citation: https://doi.org/10.5194/nhess-2021-113-AC2

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload

ED: Publish as is (20 Jun 2021) by Filippos Vallianatos

AR by Andrea Antonucci on behalf of the Authors (24 Jun 2021) Author's response Manuscript

Short summary

We present a probabilistic approach for integrating incomplete intensity distributions by means of the Bayesian combination of estimates provided by intensity prediction equations (IPEs) and data documented at nearby localities, accounting for the relevant uncertainties. The performance of the proposed methodology is tested at 28 Italian localities with long and rich seismic histories and for the strong 1980 and 2009 earthquakes in Italy. An application of this approach is also illustrated.