Task B - Probabilistic analysis of macroseismic data to forecast damage scenarios

DESCRIPTION OF TASK B The Task B “Probabilistic analysis of macroseismic data to forecast damage scenarios” includes the following seven Actions: Action B.1 Setting-up of aWorking Group on the macroseismic database (INGV); Action B.2 Exploratory analysis of macroseismic fields for their clustering i...

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Main Authors: Rotondi, Renata, Brambilla, Carla, Varini, Elisa, Zonno, Gaetano
Other Authors: Rotondi, Renata; Consiglio Nazionale delle Ricerche - Istituto di Matematica Applicata e Tecnologie Informatiche, Brambilla, Carla; Consiglio Nazionale delle Ricerche - Istituto di Matematica Applicata e Tecnologie Informatiche, Varini, Elisa; Consiglio Nazionale delle Ricerche - Istituto di Matematica Applicata e Tecnologie Informatiche, Zonno, Gaetano; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Milano-Pavia, Milano, Italia, Consiglio Nazionale delle Ricerche - Istituto di Matematica Applicata e Tecnologie Informatiche, Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Milano, Milano, Italia
Format: Report
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/2122/9143
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spelling ftingv:oai:www.earth-prints.org:2122/9143 2023-05-15T16:48:29+02:00 Task B - Probabilistic analysis of macroseismic data to forecast damage scenarios Deliverable Report of Task B of the European project UPStrat-MAFA - Deliverable/Task Leader: CNR-IMATI Rotondi, Renata Brambilla, Carla Varini, Elisa Zonno, Gaetano Rotondi, Renata; Consiglio Nazionale delle Ricerche - Istituto di Matematica Applicata e Tecnologie Informatiche Brambilla, Carla; Consiglio Nazionale delle Ricerche - Istituto di Matematica Applicata e Tecnologie Informatiche Varini, Elisa; Consiglio Nazionale delle Ricerche - Istituto di Matematica Applicata e Tecnologie Informatiche Zonno, Gaetano; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Milano-Pavia, Milano, Italia Consiglio Nazionale delle Ricerche - Istituto di Matematica Applicata e Tecnologie Informatiche Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Milano, Milano, Italia 2014-03-31 http://hdl.handle.net/2122/9143 en eng http://hdl.handle.net/2122/9143 Other information in the web site http://upstrat-mafa.ov.ingv.it/UPStrat/ open Probabilistic processing of macroseismic fields macroseismic intensity and characteristics of fault sources probability of the intensity at a site seismic hazard assessment European test cases: Mt Etna (Italy) Azores Islands mainland and offshore Portugal Alicante-Murcia (SE Spain) Iceland seismic Zone isotropic (anisotropic) intensity decay beta-binomial model UPStrat-MAFA European project 04. Solid Earth::04.06. Seismology::04.06.05. Historical seismology 04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk report 2014 ftingv 2022-07-29T06:06:38Z DESCRIPTION OF TASK B The Task B “Probabilistic analysis of macroseismic data to forecast damage scenarios” includes the following seven Actions: Action B.1 Setting-up of aWorking Group on the macroseismic database (INGV); Action B.2 Exploratory analysis of macroseismic fields for their clustering in classes of attenuation decay (CNR-IMATI); Action B.3 Estimation of the probability distribution of the site-intensity Is , given epicentral intensity and distance from epicentre (isotropic case) (CNR-IMATI); Action B.4 Exploratory analysis of observed and synthetic macroseismic fields for their clustering in classes of anisotropic attenuation decay (CNR-IMATI); Action B.5 Estimation of the probability distribution of the site-intensity Is , given epicentral intensity and distance from epicentre (anisotropic case) (CNR-IMATI); Action B.6 Application of scoring rules (CNR-IMATI); Action B.7 Probabilistic analysis of macroseismic data using the logistic model (INGV) This report is basically divided into two parts. The former (Chapter I) deals with the methodological aspects of the Actions B2 - B6; it describes a clustering procedure to select classes of macroseismic fields with similar attenuation trend within a database, it proposes a probability model and an estimation method to evaluate the distribution of the intensity at site in both isotropic and anisotropic cases, and finally it presents three validation criteria by which to compare observed and estimated intensity at sites. The latter part of the report (Chapters II - V) focuses on the results obtained and provides solutions to specific issues arosen in applying the above-mentioned methods to the test areas considered in the project (Mt. Etna (Italy), Portugal and Azores Islands, Alicante-Murcia (Spain), Iceland). In addition to the collection of the data related to the test areas, Action B1 has also dealt with the digitalization in a GIS of isoseismal images drawn from the literature, and related to two historical earthquakes occurred in North Iceland (Chapter ... Report Iceland Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia) Etna ENVELOPE(-19.191,-19.191,63.706,63.706)
institution Open Polar
collection Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia)
op_collection_id ftingv
language English
topic Probabilistic processing of macroseismic fields
macroseismic intensity and characteristics of fault sources
probability of the intensity at a site
seismic hazard assessment
European test cases: Mt Etna (Italy)
Azores Islands
mainland and offshore Portugal
Alicante-Murcia (SE Spain)
Iceland seismic Zone
isotropic (anisotropic) intensity decay
beta-binomial model
UPStrat-MAFA European project
04. Solid Earth::04.06. Seismology::04.06.05. Historical seismology
04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk
spellingShingle Probabilistic processing of macroseismic fields
macroseismic intensity and characteristics of fault sources
probability of the intensity at a site
seismic hazard assessment
European test cases: Mt Etna (Italy)
Azores Islands
mainland and offshore Portugal
Alicante-Murcia (SE Spain)
Iceland seismic Zone
isotropic (anisotropic) intensity decay
beta-binomial model
UPStrat-MAFA European project
04. Solid Earth::04.06. Seismology::04.06.05. Historical seismology
04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk
Rotondi, Renata
Brambilla, Carla
Varini, Elisa
Zonno, Gaetano
Task B - Probabilistic analysis of macroseismic data to forecast damage scenarios
topic_facet Probabilistic processing of macroseismic fields
macroseismic intensity and characteristics of fault sources
probability of the intensity at a site
seismic hazard assessment
European test cases: Mt Etna (Italy)
Azores Islands
mainland and offshore Portugal
Alicante-Murcia (SE Spain)
Iceland seismic Zone
isotropic (anisotropic) intensity decay
beta-binomial model
UPStrat-MAFA European project
04. Solid Earth::04.06. Seismology::04.06.05. Historical seismology
04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk
description DESCRIPTION OF TASK B The Task B “Probabilistic analysis of macroseismic data to forecast damage scenarios” includes the following seven Actions: Action B.1 Setting-up of aWorking Group on the macroseismic database (INGV); Action B.2 Exploratory analysis of macroseismic fields for their clustering in classes of attenuation decay (CNR-IMATI); Action B.3 Estimation of the probability distribution of the site-intensity Is , given epicentral intensity and distance from epicentre (isotropic case) (CNR-IMATI); Action B.4 Exploratory analysis of observed and synthetic macroseismic fields for their clustering in classes of anisotropic attenuation decay (CNR-IMATI); Action B.5 Estimation of the probability distribution of the site-intensity Is , given epicentral intensity and distance from epicentre (anisotropic case) (CNR-IMATI); Action B.6 Application of scoring rules (CNR-IMATI); Action B.7 Probabilistic analysis of macroseismic data using the logistic model (INGV) This report is basically divided into two parts. The former (Chapter I) deals with the methodological aspects of the Actions B2 - B6; it describes a clustering procedure to select classes of macroseismic fields with similar attenuation trend within a database, it proposes a probability model and an estimation method to evaluate the distribution of the intensity at site in both isotropic and anisotropic cases, and finally it presents three validation criteria by which to compare observed and estimated intensity at sites. The latter part of the report (Chapters II - V) focuses on the results obtained and provides solutions to specific issues arosen in applying the above-mentioned methods to the test areas considered in the project (Mt. Etna (Italy), Portugal and Azores Islands, Alicante-Murcia (Spain), Iceland). In addition to the collection of the data related to the test areas, Action B1 has also dealt with the digitalization in a GIS of isoseismal images drawn from the literature, and related to two historical earthquakes occurred in North Iceland (Chapter ...
author2 Rotondi, Renata; Consiglio Nazionale delle Ricerche - Istituto di Matematica Applicata e Tecnologie Informatiche
Brambilla, Carla; Consiglio Nazionale delle Ricerche - Istituto di Matematica Applicata e Tecnologie Informatiche
Varini, Elisa; Consiglio Nazionale delle Ricerche - Istituto di Matematica Applicata e Tecnologie Informatiche
Zonno, Gaetano; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Milano-Pavia, Milano, Italia
Consiglio Nazionale delle Ricerche - Istituto di Matematica Applicata e Tecnologie Informatiche
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Milano, Milano, Italia
format Report
author Rotondi, Renata
Brambilla, Carla
Varini, Elisa
Zonno, Gaetano
author_facet Rotondi, Renata
Brambilla, Carla
Varini, Elisa
Zonno, Gaetano
author_sort Rotondi, Renata
title Task B - Probabilistic analysis of macroseismic data to forecast damage scenarios
title_short Task B - Probabilistic analysis of macroseismic data to forecast damage scenarios
title_full Task B - Probabilistic analysis of macroseismic data to forecast damage scenarios
title_fullStr Task B - Probabilistic analysis of macroseismic data to forecast damage scenarios
title_full_unstemmed Task B - Probabilistic analysis of macroseismic data to forecast damage scenarios
title_sort task b - probabilistic analysis of macroseismic data to forecast damage scenarios
publishDate 2014
url http://hdl.handle.net/2122/9143
long_lat ENVELOPE(-19.191,-19.191,63.706,63.706)
geographic Etna
geographic_facet Etna
genre Iceland
genre_facet Iceland
op_relation http://hdl.handle.net/2122/9143
Other information in the web site http://upstrat-mafa.ov.ingv.it/UPStrat/
op_rights open
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