Macroseismic intensity hazard maps for Italy based on a recent grid source model

Seismic hazard maps from probabilistic seismic hazard analysis or PSHA collect, at different sites, the values of the (site-specific) ground motion intensity measures of interest that, taken individually, have the same exceedance return period. For large-scale analyses, a widely used intensity measu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Bulletin of earthquake engineering 2022-03, Vol.20 (5), p.2245-2258
Hauptverfasser: Cito, Pasquale, Chioccarelli, Eugenio, Iervolino, Iunio
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2258
container_issue 5
container_start_page 2245
container_title Bulletin of earthquake engineering
container_volume 20
creator Cito, Pasquale
Chioccarelli, Eugenio
Iervolino, Iunio
description Seismic hazard maps from probabilistic seismic hazard analysis or PSHA collect, at different sites, the values of the (site-specific) ground motion intensity measures of interest that, taken individually, have the same exceedance return period. For large-scale analyses, a widely used intensity measure is the macroseismic ( MS ) intensity, that provides an assessment of the earthquake effect based on the observed consequences in the hit area. Hazard maps can be developed in terms of MS intensity, and some examples exist in this respect. In the case of Italy, the last MS hazard map is based on the same seismic source model (known as MPS04) adopted to derive the design seismic actions of the current building code, a study dating more than ten years ago. It provides results in terms of countrywide Mercalli–Cancani–Sieberg (MCS) intensity level with 475 years return period. This short paper presents and discusses MCS probabilistic seismic hazard maps for Italy based on a recent grid-seismicity source model, herein named MPS19, synthetizing the large effort of a wide scientific community. The results, which are obtained by means of classical PSHA, are given in the form of maps referring to the 475 years return period, and also others of earthquake engineering interest. Moreover, it is discussed that the return period does not univocally identifies the MS intensity because, although MS is, by definition, a discrete random variable, it is modelled, in a given earthquake, by means of a normal distribution, that is, treated as continuous. Thus, the maps of the minimum return period causing the occurrence or exceedance of different MCS intensities are also provided. Finally, the comparison between the 475 years return period hazard map presented and the one which is currently the point of reference in Italy, that is, computed using MPS04, is briefly discussed. All the computed maps are made available to the reader as supplemental material.
doi_str_mv 10.1007/s10518-022-01323-0
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2646016614</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2646016614</sourcerecordid><originalsourceid>FETCH-LOGICAL-c363t-cb89105b18c0775f01242474b22807206116424c59df0c29d29413beb5d9e25f3</originalsourceid><addsrcrecordid>eNp9kDFPwzAQhS0EEqXwB5gsMRvu7NhORlQBrVQEA0hsluM4JVWTFDsdyq_HbZDYmO50eu_u3UfINcItAui7iCAxZ8A5AxRcMDghE5RaMMykOj32wLTCj3NyEeMagEtdwIS8PlsX-uib2DaONt3gu9gMe_ppv22oaGu3kdZ9oIvBbva0tNFXtO-opcE73w10FZqKxn4XnKdtX_nNJTmr7Sb6q986Je-PD2-zOVu-PC1m90vmhBIDc2VepMwl5g60ljUgz3ims5LzHDQHhajSwMmiqsHxouJFhqL0pawKz2UtpuRm3LsN_dfOx8GsU4ounTRcZQpQKcySio-qw5Mx-NpsQ9PasDcI5kDOjORMImeO5AwkkxhNMYm7lQ9_q_9x_QDu-29A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2646016614</pqid></control><display><type>article</type><title>Macroseismic intensity hazard maps for Italy based on a recent grid source model</title><source>SpringerLink Journals - AutoHoldings</source><creator>Cito, Pasquale ; Chioccarelli, Eugenio ; Iervolino, Iunio</creator><creatorcontrib>Cito, Pasquale ; Chioccarelli, Eugenio ; Iervolino, Iunio</creatorcontrib><description>Seismic hazard maps from probabilistic seismic hazard analysis or PSHA collect, at different sites, the values of the (site-specific) ground motion intensity measures of interest that, taken individually, have the same exceedance return period. For large-scale analyses, a widely used intensity measure is the macroseismic ( MS ) intensity, that provides an assessment of the earthquake effect based on the observed consequences in the hit area. Hazard maps can be developed in terms of MS intensity, and some examples exist in this respect. In the case of Italy, the last MS hazard map is based on the same seismic source model (known as MPS04) adopted to derive the design seismic actions of the current building code, a study dating more than ten years ago. It provides results in terms of countrywide Mercalli–Cancani–Sieberg (MCS) intensity level with 475 years return period. This short paper presents and discusses MCS probabilistic seismic hazard maps for Italy based on a recent grid-seismicity source model, herein named MPS19, synthetizing the large effort of a wide scientific community. The results, which are obtained by means of classical PSHA, are given in the form of maps referring to the 475 years return period, and also others of earthquake engineering interest. Moreover, it is discussed that the return period does not univocally identifies the MS intensity because, although MS is, by definition, a discrete random variable, it is modelled, in a given earthquake, by means of a normal distribution, that is, treated as continuous. Thus, the maps of the minimum return period causing the occurrence or exceedance of different MCS intensities are also provided. Finally, the comparison between the 475 years return period hazard map presented and the one which is currently the point of reference in Italy, that is, computed using MPS04, is briefly discussed. All the computed maps are made available to the reader as supplemental material.</description><identifier>ISSN: 1570-761X</identifier><identifier>EISSN: 1573-1456</identifier><identifier>DOI: 10.1007/s10518-022-01323-0</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Building codes ; Civil Engineering ; Computation ; Earth and Environmental Science ; Earth Sciences ; Earthquake engineering ; Earthquakes ; Environmental Engineering/Biotechnology ; Geological hazards ; Geophysics/Geodesy ; Geotechnical Engineering &amp; Applied Earth Sciences ; Ground motion ; Hazard assessment ; Hydrogeology ; Modelling ; Normal distribution ; Original Article ; Random variables ; Seismic activity ; Seismic engineering ; Seismic hazard ; Seismicity ; Statistical analysis ; Structural Geology</subject><ispartof>Bulletin of earthquake engineering, 2022-03, Vol.20 (5), p.2245-2258</ispartof><rights>The Author(s) 2022</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c363t-cb89105b18c0775f01242474b22807206116424c59df0c29d29413beb5d9e25f3</citedby><cites>FETCH-LOGICAL-c363t-cb89105b18c0775f01242474b22807206116424c59df0c29d29413beb5d9e25f3</cites><orcidid>0000-0002-8990-3120 ; 0000-0002-4076-2718</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10518-022-01323-0$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10518-022-01323-0$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Cito, Pasquale</creatorcontrib><creatorcontrib>Chioccarelli, Eugenio</creatorcontrib><creatorcontrib>Iervolino, Iunio</creatorcontrib><title>Macroseismic intensity hazard maps for Italy based on a recent grid source model</title><title>Bulletin of earthquake engineering</title><addtitle>Bull Earthquake Eng</addtitle><description>Seismic hazard maps from probabilistic seismic hazard analysis or PSHA collect, at different sites, the values of the (site-specific) ground motion intensity measures of interest that, taken individually, have the same exceedance return period. For large-scale analyses, a widely used intensity measure is the macroseismic ( MS ) intensity, that provides an assessment of the earthquake effect based on the observed consequences in the hit area. Hazard maps can be developed in terms of MS intensity, and some examples exist in this respect. In the case of Italy, the last MS hazard map is based on the same seismic source model (known as MPS04) adopted to derive the design seismic actions of the current building code, a study dating more than ten years ago. It provides results in terms of countrywide Mercalli–Cancani–Sieberg (MCS) intensity level with 475 years return period. This short paper presents and discusses MCS probabilistic seismic hazard maps for Italy based on a recent grid-seismicity source model, herein named MPS19, synthetizing the large effort of a wide scientific community. The results, which are obtained by means of classical PSHA, are given in the form of maps referring to the 475 years return period, and also others of earthquake engineering interest. Moreover, it is discussed that the return period does not univocally identifies the MS intensity because, although MS is, by definition, a discrete random variable, it is modelled, in a given earthquake, by means of a normal distribution, that is, treated as continuous. Thus, the maps of the minimum return period causing the occurrence or exceedance of different MCS intensities are also provided. Finally, the comparison between the 475 years return period hazard map presented and the one which is currently the point of reference in Italy, that is, computed using MPS04, is briefly discussed. All the computed maps are made available to the reader as supplemental material.</description><subject>Building codes</subject><subject>Civil Engineering</subject><subject>Computation</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earthquake engineering</subject><subject>Earthquakes</subject><subject>Environmental Engineering/Biotechnology</subject><subject>Geological hazards</subject><subject>Geophysics/Geodesy</subject><subject>Geotechnical Engineering &amp; Applied Earth Sciences</subject><subject>Ground motion</subject><subject>Hazard assessment</subject><subject>Hydrogeology</subject><subject>Modelling</subject><subject>Normal distribution</subject><subject>Original Article</subject><subject>Random variables</subject><subject>Seismic activity</subject><subject>Seismic engineering</subject><subject>Seismic hazard</subject><subject>Seismicity</subject><subject>Statistical analysis</subject><subject>Structural Geology</subject><issn>1570-761X</issn><issn>1573-1456</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kDFPwzAQhS0EEqXwB5gsMRvu7NhORlQBrVQEA0hsluM4JVWTFDsdyq_HbZDYmO50eu_u3UfINcItAui7iCAxZ8A5AxRcMDghE5RaMMykOj32wLTCj3NyEeMagEtdwIS8PlsX-uib2DaONt3gu9gMe_ppv22oaGu3kdZ9oIvBbva0tNFXtO-opcE73w10FZqKxn4XnKdtX_nNJTmr7Sb6q986Je-PD2-zOVu-PC1m90vmhBIDc2VepMwl5g60ljUgz3ims5LzHDQHhajSwMmiqsHxouJFhqL0pawKz2UtpuRm3LsN_dfOx8GsU4ounTRcZQpQKcySio-qw5Mx-NpsQ9PasDcI5kDOjORMImeO5AwkkxhNMYm7lQ9_q_9x_QDu-29A</recordid><startdate>20220301</startdate><enddate>20220301</enddate><creator>Cito, Pasquale</creator><creator>Chioccarelli, Eugenio</creator><creator>Iervolino, Iunio</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-8990-3120</orcidid><orcidid>https://orcid.org/0000-0002-4076-2718</orcidid></search><sort><creationdate>20220301</creationdate><title>Macroseismic intensity hazard maps for Italy based on a recent grid source model</title><author>Cito, Pasquale ; Chioccarelli, Eugenio ; Iervolino, Iunio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-cb89105b18c0775f01242474b22807206116424c59df0c29d29413beb5d9e25f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Building codes</topic><topic>Civil Engineering</topic><topic>Computation</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earthquake engineering</topic><topic>Earthquakes</topic><topic>Environmental Engineering/Biotechnology</topic><topic>Geological hazards</topic><topic>Geophysics/Geodesy</topic><topic>Geotechnical Engineering &amp; Applied Earth Sciences</topic><topic>Ground motion</topic><topic>Hazard assessment</topic><topic>Hydrogeology</topic><topic>Modelling</topic><topic>Normal distribution</topic><topic>Original Article</topic><topic>Random variables</topic><topic>Seismic activity</topic><topic>Seismic engineering</topic><topic>Seismic hazard</topic><topic>Seismicity</topic><topic>Statistical analysis</topic><topic>Structural Geology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cito, Pasquale</creatorcontrib><creatorcontrib>Chioccarelli, Eugenio</creatorcontrib><creatorcontrib>Iervolino, Iunio</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Bulletin of earthquake engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cito, Pasquale</au><au>Chioccarelli, Eugenio</au><au>Iervolino, Iunio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Macroseismic intensity hazard maps for Italy based on a recent grid source model</atitle><jtitle>Bulletin of earthquake engineering</jtitle><stitle>Bull Earthquake Eng</stitle><date>2022-03-01</date><risdate>2022</risdate><volume>20</volume><issue>5</issue><spage>2245</spage><epage>2258</epage><pages>2245-2258</pages><issn>1570-761X</issn><eissn>1573-1456</eissn><abstract>Seismic hazard maps from probabilistic seismic hazard analysis or PSHA collect, at different sites, the values of the (site-specific) ground motion intensity measures of interest that, taken individually, have the same exceedance return period. For large-scale analyses, a widely used intensity measure is the macroseismic ( MS ) intensity, that provides an assessment of the earthquake effect based on the observed consequences in the hit area. Hazard maps can be developed in terms of MS intensity, and some examples exist in this respect. In the case of Italy, the last MS hazard map is based on the same seismic source model (known as MPS04) adopted to derive the design seismic actions of the current building code, a study dating more than ten years ago. It provides results in terms of countrywide Mercalli–Cancani–Sieberg (MCS) intensity level with 475 years return period. This short paper presents and discusses MCS probabilistic seismic hazard maps for Italy based on a recent grid-seismicity source model, herein named MPS19, synthetizing the large effort of a wide scientific community. The results, which are obtained by means of classical PSHA, are given in the form of maps referring to the 475 years return period, and also others of earthquake engineering interest. Moreover, it is discussed that the return period does not univocally identifies the MS intensity because, although MS is, by definition, a discrete random variable, it is modelled, in a given earthquake, by means of a normal distribution, that is, treated as continuous. Thus, the maps of the minimum return period causing the occurrence or exceedance of different MCS intensities are also provided. Finally, the comparison between the 475 years return period hazard map presented and the one which is currently the point of reference in Italy, that is, computed using MPS04, is briefly discussed. All the computed maps are made available to the reader as supplemental material.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10518-022-01323-0</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-8990-3120</orcidid><orcidid>https://orcid.org/0000-0002-4076-2718</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1570-761X
ispartof Bulletin of earthquake engineering, 2022-03, Vol.20 (5), p.2245-2258
issn 1570-761X
1573-1456
language eng
recordid cdi_proquest_journals_2646016614
source SpringerLink Journals - AutoHoldings
subjects Building codes
Civil Engineering
Computation
Earth and Environmental Science
Earth Sciences
Earthquake engineering
Earthquakes
Environmental Engineering/Biotechnology
Geological hazards
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Ground motion
Hazard assessment
Hydrogeology
Modelling
Normal distribution
Original Article
Random variables
Seismic activity
Seismic engineering
Seismic hazard
Seismicity
Statistical analysis
Structural Geology
title Macroseismic intensity hazard maps for Italy based on a recent grid source model
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T00%3A56%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Macroseismic%20intensity%20hazard%20maps%20for%20Italy%20based%20on%20a%20recent%20grid%20source%20model&rft.jtitle=Bulletin%20of%20earthquake%20engineering&rft.au=Cito,%20Pasquale&rft.date=2022-03-01&rft.volume=20&rft.issue=5&rft.spage=2245&rft.epage=2258&rft.pages=2245-2258&rft.issn=1570-761X&rft.eissn=1573-1456&rft_id=info:doi/10.1007/s10518-022-01323-0&rft_dat=%3Cproquest_cross%3E2646016614%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2646016614&rft_id=info:pmid/&rfr_iscdi=true