Determining change points in data completeness for the Holocene eruption record
Changes in data completeness for the Smithsonian Institution’s “Volcanoes of the World” (VOTW) eruption catalogue, by region and for selected countries, are determined and utilised to estimate average eruption recurrence intervals. In the VOTW database, the number of documented volcanic eruptions ha...
Gespeichert in:
Veröffentlicht in: | Bulletin of volcanology 2014-11, Vol.76 (11), p.1-14, Article 874 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 14 |
---|---|
container_issue | 11 |
container_start_page | 1 |
container_title | Bulletin of volcanology |
container_volume | 76 |
creator | Mead, Stuart Magill, Christina |
description | Changes in data completeness for the Smithsonian Institution’s “Volcanoes of the World” (VOTW) eruption catalogue, by region and for selected countries, are determined and utilised to estimate average eruption recurrence intervals. In the VOTW database, the number of documented volcanic eruptions has increased markedly since the middle of the last millennium. This is largely attributed to population expansion, geological investigation and improvements in detection and recording technologies, rather than an increase in volcanic activity. Simple methods, such as break-in-slope or stationarity tests, can be used to determine changes in data completeness, but often require subjective choices, introducing additional uncertainty. A Markov chain Monte Carlo simulation method for assessing and determining changes in the completeness of natural hazard event catalogues is adapted to determine the completeness of the database. Data completeness is assumed to follow a step-change model, where the probability of documenting an eruption is Volcanic Explosivity Index-dependent before the change point date and 100 % after. A distribution of candidate change point dates is obtained for each region and country subset which allows uncertainty in the data completeness date to be quantified, and for uncertainty in eruption frequencies to be expressed and propagated through statistical models. |
doi_str_mv | 10.1007/s00445-014-0874-y |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1919956242</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1622601445</sourcerecordid><originalsourceid>FETCH-LOGICAL-a405t-de5ba8f5eaa4874712b0a4d433ff6dd850510e67c95a35941ab2bf2f3554f6a33</originalsourceid><addsrcrecordid>eNqFkU1LxDAQhoMouH78AG8BL16qk6-2Ocr6scLCXvQc0jbZ7dImNWkP--_NUg8iiKdhhud9mZkXoRsC9wSgeIgAnIsMCM-gLHh2OEELwhlNHZGnaAFUlFkpAc7RRYx7SCDLiwXaPJnRhL51rdvieqfd1uDBt26MuHW40aPGte-HLlHOxIitD3jcGbzyna_TCJswDWPrHQ6m9qG5QmdWd9Fcf9dL9PHy_L5cZevN69vycZ1pDmLMGiMqXVphtOZp3YLQCjRvOGPW5k1TChAETF7UUmgmJCe6opWllgnBba4Zu0R3s-8Q_Odk4qj6Ntam67QzfoqKSCKlyCmn_6M5pXn6BxcJvf2F7v0UXDokUSBFWgrKRJGZqoOPMRirhtD2OhwUAXVMQ81pqGSqjmmoQ9LQWRMTm54cfjj_KfoCyjWMkg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1609551008</pqid></control><display><type>article</type><title>Determining change points in data completeness for the Holocene eruption record</title><source>SpringerLink Journals - AutoHoldings</source><creator>Mead, Stuart ; Magill, Christina</creator><creatorcontrib>Mead, Stuart ; Magill, Christina</creatorcontrib><description>Changes in data completeness for the Smithsonian Institution’s “Volcanoes of the World” (VOTW) eruption catalogue, by region and for selected countries, are determined and utilised to estimate average eruption recurrence intervals. In the VOTW database, the number of documented volcanic eruptions has increased markedly since the middle of the last millennium. This is largely attributed to population expansion, geological investigation and improvements in detection and recording technologies, rather than an increase in volcanic activity. Simple methods, such as break-in-slope or stationarity tests, can be used to determine changes in data completeness, but often require subjective choices, introducing additional uncertainty. A Markov chain Monte Carlo simulation method for assessing and determining changes in the completeness of natural hazard event catalogues is adapted to determine the completeness of the database. Data completeness is assumed to follow a step-change model, where the probability of documenting an eruption is Volcanic Explosivity Index-dependent before the change point date and 100 % after. A distribution of candidate change point dates is obtained for each region and country subset which allows uncertainty in the data completeness date to be quantified, and for uncertainty in eruption frequencies to be expressed and propagated through statistical models.</description><identifier>ISSN: 0258-8900</identifier><identifier>EISSN: 1432-0819</identifier><identifier>DOI: 10.1007/s00445-014-0874-y</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Earth and Environmental Science ; Earth Sciences ; Geology ; Geophysics/Geodesy ; Holocene ; Markov chains ; Mineralogy ; Monte Carlo simulation ; Population growth ; Research Article ; Sedimentology ; Statistical models ; Volcanic eruptions ; Volcanoes ; Volcanology</subject><ispartof>Bulletin of volcanology, 2014-11, Vol.76 (11), p.1-14, Article 874</ispartof><rights>Springer-Verlag Berlin Heidelberg 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a405t-de5ba8f5eaa4874712b0a4d433ff6dd850510e67c95a35941ab2bf2f3554f6a33</citedby><cites>FETCH-LOGICAL-a405t-de5ba8f5eaa4874712b0a4d433ff6dd850510e67c95a35941ab2bf2f3554f6a33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00445-014-0874-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00445-014-0874-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Mead, Stuart</creatorcontrib><creatorcontrib>Magill, Christina</creatorcontrib><title>Determining change points in data completeness for the Holocene eruption record</title><title>Bulletin of volcanology</title><addtitle>Bull Volcanol</addtitle><description>Changes in data completeness for the Smithsonian Institution’s “Volcanoes of the World” (VOTW) eruption catalogue, by region and for selected countries, are determined and utilised to estimate average eruption recurrence intervals. In the VOTW database, the number of documented volcanic eruptions has increased markedly since the middle of the last millennium. This is largely attributed to population expansion, geological investigation and improvements in detection and recording technologies, rather than an increase in volcanic activity. Simple methods, such as break-in-slope or stationarity tests, can be used to determine changes in data completeness, but often require subjective choices, introducing additional uncertainty. A Markov chain Monte Carlo simulation method for assessing and determining changes in the completeness of natural hazard event catalogues is adapted to determine the completeness of the database. Data completeness is assumed to follow a step-change model, where the probability of documenting an eruption is Volcanic Explosivity Index-dependent before the change point date and 100 % after. A distribution of candidate change point dates is obtained for each region and country subset which allows uncertainty in the data completeness date to be quantified, and for uncertainty in eruption frequencies to be expressed and propagated through statistical models.</description><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Geology</subject><subject>Geophysics/Geodesy</subject><subject>Holocene</subject><subject>Markov chains</subject><subject>Mineralogy</subject><subject>Monte Carlo simulation</subject><subject>Population growth</subject><subject>Research Article</subject><subject>Sedimentology</subject><subject>Statistical models</subject><subject>Volcanic eruptions</subject><subject>Volcanoes</subject><subject>Volcanology</subject><issn>0258-8900</issn><issn>1432-0819</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkU1LxDAQhoMouH78AG8BL16qk6-2Ocr6scLCXvQc0jbZ7dImNWkP--_NUg8iiKdhhud9mZkXoRsC9wSgeIgAnIsMCM-gLHh2OEELwhlNHZGnaAFUlFkpAc7RRYx7SCDLiwXaPJnRhL51rdvieqfd1uDBt26MuHW40aPGte-HLlHOxIitD3jcGbzyna_TCJswDWPrHQ6m9qG5QmdWd9Fcf9dL9PHy_L5cZevN69vycZ1pDmLMGiMqXVphtOZp3YLQCjRvOGPW5k1TChAETF7UUmgmJCe6opWllgnBba4Zu0R3s-8Q_Odk4qj6Ntam67QzfoqKSCKlyCmn_6M5pXn6BxcJvf2F7v0UXDokUSBFWgrKRJGZqoOPMRirhtD2OhwUAXVMQ81pqGSqjmmoQ9LQWRMTm54cfjj_KfoCyjWMkg</recordid><startdate>20141101</startdate><enddate>20141101</enddate><creator>Mead, Stuart</creator><creator>Magill, Christina</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7TN</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2P</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20141101</creationdate><title>Determining change points in data completeness for the Holocene eruption record</title><author>Mead, Stuart ; Magill, Christina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a405t-de5ba8f5eaa4874712b0a4d433ff6dd850510e67c95a35941ab2bf2f3554f6a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Geology</topic><topic>Geophysics/Geodesy</topic><topic>Holocene</topic><topic>Markov chains</topic><topic>Mineralogy</topic><topic>Monte Carlo simulation</topic><topic>Population growth</topic><topic>Research Article</topic><topic>Sedimentology</topic><topic>Statistical models</topic><topic>Volcanic eruptions</topic><topic>Volcanoes</topic><topic>Volcanology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mead, Stuart</creatorcontrib><creatorcontrib>Magill, Christina</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science Database</collection><collection>Earth, Atmospheric & 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>ProQuest Central Basic</collection><jtitle>Bulletin of volcanology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mead, Stuart</au><au>Magill, Christina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determining change points in data completeness for the Holocene eruption record</atitle><jtitle>Bulletin of volcanology</jtitle><stitle>Bull Volcanol</stitle><date>2014-11-01</date><risdate>2014</risdate><volume>76</volume><issue>11</issue><spage>1</spage><epage>14</epage><pages>1-14</pages><artnum>874</artnum><issn>0258-8900</issn><eissn>1432-0819</eissn><abstract>Changes in data completeness for the Smithsonian Institution’s “Volcanoes of the World” (VOTW) eruption catalogue, by region and for selected countries, are determined and utilised to estimate average eruption recurrence intervals. In the VOTW database, the number of documented volcanic eruptions has increased markedly since the middle of the last millennium. This is largely attributed to population expansion, geological investigation and improvements in detection and recording technologies, rather than an increase in volcanic activity. Simple methods, such as break-in-slope or stationarity tests, can be used to determine changes in data completeness, but often require subjective choices, introducing additional uncertainty. A Markov chain Monte Carlo simulation method for assessing and determining changes in the completeness of natural hazard event catalogues is adapted to determine the completeness of the database. Data completeness is assumed to follow a step-change model, where the probability of documenting an eruption is Volcanic Explosivity Index-dependent before the change point date and 100 % after. A distribution of candidate change point dates is obtained for each region and country subset which allows uncertainty in the data completeness date to be quantified, and for uncertainty in eruption frequencies to be expressed and propagated through statistical models.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00445-014-0874-y</doi><tpages>14</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0258-8900 |
ispartof | Bulletin of volcanology, 2014-11, Vol.76 (11), p.1-14, Article 874 |
issn | 0258-8900 1432-0819 |
language | eng |
recordid | cdi_proquest_miscellaneous_1919956242 |
source | SpringerLink Journals - AutoHoldings |
subjects | Earth and Environmental Science Earth Sciences Geology Geophysics/Geodesy Holocene Markov chains Mineralogy Monte Carlo simulation Population growth Research Article Sedimentology Statistical models Volcanic eruptions Volcanoes Volcanology |
title | Determining change points in data completeness for the Holocene eruption record |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T15%3A56%3A06IST&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=Determining%20change%20points%20in%20data%20completeness%20for%20the%20Holocene%20eruption%20record&rft.jtitle=Bulletin%20of%20volcanology&rft.au=Mead,%20Stuart&rft.date=2014-11-01&rft.volume=76&rft.issue=11&rft.spage=1&rft.epage=14&rft.pages=1-14&rft.artnum=874&rft.issn=0258-8900&rft.eissn=1432-0819&rft_id=info:doi/10.1007/s00445-014-0874-y&rft_dat=%3Cproquest_cross%3E1622601445%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=1609551008&rft_id=info:pmid/&rfr_iscdi=true |