Loading…
Correlation Dimension in Sumatra Island Based on Active Fault, Earthquake Data, and Estimated Horizontal Crustal Strain to Evaluate Seismic Hazard Functions (SHF)
This study intends to evaluate the possible correlation between the correlation dimension (DC) and the seismic moment rate for different late Quaternary active fault data, shallow crustal earthquakes, and GPS on the island of Sumatra Probabilistic Seismic Hazard Analysis (PSHA). The seismicity smoot...
Saved in:
Published in: | GeoHazards 2022-06, Vol.3 (2), p.227-241 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-a405t-64b32b4dadd14deb2af3d8caa89765056038f9c65587eaa512a837621fc8a7f83 |
---|---|
cites | cdi_FETCH-LOGICAL-a405t-64b32b4dadd14deb2af3d8caa89765056038f9c65587eaa512a837621fc8a7f83 |
container_end_page | 241 |
container_issue | 2 |
container_start_page | 227 |
container_title | GeoHazards |
container_volume | 3 |
creator | Triyoso, Wahyu Sahara, David P. Sarsito, Dina A. Natawidjaja, Danny H. Sukmono, Sigit |
description | This study intends to evaluate the possible correlation between the correlation dimension (DC) and the seismic moment rate for different late Quaternary active fault data, shallow crustal earthquakes, and GPS on the island of Sumatra Probabilistic Seismic Hazard Analysis (PSHA). The seismicity smoothing was applied to estimate the DC of active faults (DF) and earthquake data (DE) and then to correlate that with the b-value, which will be used to identify seismic hazard functions (SHF) along with the Sumatra Fault Zone (SFZ). The seismicity based on GPS data was calculated by the seismic moment rate that is estimated based on pre-seismic horizontal surface displacement data. The correlation between DF, DE, and the b-value was analyzed, and a reasonable correlation between the two seismotectonic parameters, DF-b, and DE-b, respectively, could be found. The relatively high DC coincides with the high seismic moment rate model derived from the pre-seismic GPS data. Furthermore, the SHF curve of total probability of exceedance versus the mean of each observation point’s peak ground acceleration (PGA) shows that the relatively high correlation dimension coincides with the high SHF. The results of this study might be very beneficial for seismic mitigation in the future. |
doi_str_mv | 10.3390/geohazards3020012 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_4c859bcd43234dcabb2c731c84bd8c86</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_4c859bcd43234dcabb2c731c84bd8c86</doaj_id><sourcerecordid>2679732085</sourcerecordid><originalsourceid>FETCH-LOGICAL-a405t-64b32b4dadd14deb2af3d8caa89765056038f9c65587eaa512a837621fc8a7f83</originalsourceid><addsrcrecordid>eNplkU1rHDEMhofSQkOSH9CboZcWsok_x55juh_dhUAP20JvRmN7Em9mx4ntCSQ_p780nmwIgZ4kpEev9KKq-kLwOWMNvrh24QaeINrEMMWY0A_VEa0pn8lG_P34Lv9cnaa0wxhTRbCk-Kj6Nw8xuh6yDwNa-L0b0pT5AW3HPeQIaJN6GCz6AclZVFqXJvsHh1Yw9vkMLSHmm_sRbh1aQIYzNLHLlH0ZLvw6RP8Uhgw9mscxTXFbRIt8Dmj5AP1YMLR1Pu29QesXE2g1Dma6J6Fv2_Xq-0n1qYM-udPXeFz9WS1_z9ezq18_N_PLqxlwLPKs5i2jLbdgLeHWtRQ6ZpUBUI2sBRY1ZqprTC2Ekg5AEAqKyZqSziiQnWLH1eagawPs9F0sFuKjDuD1SyHEa13MetM7zY0STWssZ5Rxa6BtqZGMGMXbslLVRevrQesuhvvRpax3YYxDOV_TWjaSUaxEociBMjGkFF33tpVgPX1W__dZ9gx_vprI</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2679732085</pqid></control><display><type>article</type><title>Correlation Dimension in Sumatra Island Based on Active Fault, Earthquake Data, and Estimated Horizontal Crustal Strain to Evaluate Seismic Hazard Functions (SHF)</title><source>Publicly Available Content Database</source><creator>Triyoso, Wahyu ; Sahara, David P. ; Sarsito, Dina A. ; Natawidjaja, Danny H. ; Sukmono, Sigit</creator><creatorcontrib>Triyoso, Wahyu ; Sahara, David P. ; Sarsito, Dina A. ; Natawidjaja, Danny H. ; Sukmono, Sigit</creatorcontrib><description>This study intends to evaluate the possible correlation between the correlation dimension (DC) and the seismic moment rate for different late Quaternary active fault data, shallow crustal earthquakes, and GPS on the island of Sumatra Probabilistic Seismic Hazard Analysis (PSHA). The seismicity smoothing was applied to estimate the DC of active faults (DF) and earthquake data (DE) and then to correlate that with the b-value, which will be used to identify seismic hazard functions (SHF) along with the Sumatra Fault Zone (SFZ). The seismicity based on GPS data was calculated by the seismic moment rate that is estimated based on pre-seismic horizontal surface displacement data. The correlation between DF, DE, and the b-value was analyzed, and a reasonable correlation between the two seismotectonic parameters, DF-b, and DE-b, respectively, could be found. The relatively high DC coincides with the high seismic moment rate model derived from the pre-seismic GPS data. Furthermore, the SHF curve of total probability of exceedance versus the mean of each observation point’s peak ground acceleration (PGA) shows that the relatively high correlation dimension coincides with the high SHF. The results of this study might be very beneficial for seismic mitigation in the future.</description><identifier>ISSN: 2624-795X</identifier><identifier>EISSN: 2624-795X</identifier><identifier>DOI: 10.3390/geohazards3020012</identifier><language>eng</language><publisher>Dallas: MDPI AG</publisher><subject>active fault ; b-value ; correlation dimension ; earthquake ; Earthquakes ; Fault lines ; Fractals ; Geometry ; GPS ; seismic moment rate ; Stress</subject><ispartof>GeoHazards, 2022-06, Vol.3 (2), p.227-241</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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-a405t-64b32b4dadd14deb2af3d8caa89765056038f9c65587eaa512a837621fc8a7f83</citedby><cites>FETCH-LOGICAL-a405t-64b32b4dadd14deb2af3d8caa89765056038f9c65587eaa512a837621fc8a7f83</cites><orcidid>0000-0002-8561-839X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2679732085/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2679732085?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><creatorcontrib>Triyoso, Wahyu</creatorcontrib><creatorcontrib>Sahara, David P.</creatorcontrib><creatorcontrib>Sarsito, Dina A.</creatorcontrib><creatorcontrib>Natawidjaja, Danny H.</creatorcontrib><creatorcontrib>Sukmono, Sigit</creatorcontrib><title>Correlation Dimension in Sumatra Island Based on Active Fault, Earthquake Data, and Estimated Horizontal Crustal Strain to Evaluate Seismic Hazard Functions (SHF)</title><title>GeoHazards</title><description>This study intends to evaluate the possible correlation between the correlation dimension (DC) and the seismic moment rate for different late Quaternary active fault data, shallow crustal earthquakes, and GPS on the island of Sumatra Probabilistic Seismic Hazard Analysis (PSHA). The seismicity smoothing was applied to estimate the DC of active faults (DF) and earthquake data (DE) and then to correlate that with the b-value, which will be used to identify seismic hazard functions (SHF) along with the Sumatra Fault Zone (SFZ). The seismicity based on GPS data was calculated by the seismic moment rate that is estimated based on pre-seismic horizontal surface displacement data. The correlation between DF, DE, and the b-value was analyzed, and a reasonable correlation between the two seismotectonic parameters, DF-b, and DE-b, respectively, could be found. The relatively high DC coincides with the high seismic moment rate model derived from the pre-seismic GPS data. Furthermore, the SHF curve of total probability of exceedance versus the mean of each observation point’s peak ground acceleration (PGA) shows that the relatively high correlation dimension coincides with the high SHF. The results of this study might be very beneficial for seismic mitigation in the future.</description><subject>active fault</subject><subject>b-value</subject><subject>correlation dimension</subject><subject>earthquake</subject><subject>Earthquakes</subject><subject>Fault lines</subject><subject>Fractals</subject><subject>Geometry</subject><subject>GPS</subject><subject>seismic moment rate</subject><subject>Stress</subject><issn>2624-795X</issn><issn>2624-795X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNplkU1rHDEMhofSQkOSH9CboZcWsok_x55juh_dhUAP20JvRmN7Em9mx4ntCSQ_p780nmwIgZ4kpEev9KKq-kLwOWMNvrh24QaeINrEMMWY0A_VEa0pn8lG_P34Lv9cnaa0wxhTRbCk-Kj6Nw8xuh6yDwNa-L0b0pT5AW3HPeQIaJN6GCz6AclZVFqXJvsHh1Yw9vkMLSHmm_sRbh1aQIYzNLHLlH0ZLvw6RP8Uhgw9mscxTXFbRIt8Dmj5AP1YMLR1Pu29QesXE2g1Dma6J6Fv2_Xq-0n1qYM-udPXeFz9WS1_z9ezq18_N_PLqxlwLPKs5i2jLbdgLeHWtRQ6ZpUBUI2sBRY1ZqprTC2Ekg5AEAqKyZqSziiQnWLH1eagawPs9F0sFuKjDuD1SyHEa13MetM7zY0STWssZ5Rxa6BtqZGMGMXbslLVRevrQesuhvvRpax3YYxDOV_TWjaSUaxEociBMjGkFF33tpVgPX1W__dZ9gx_vprI</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Triyoso, Wahyu</creator><creator>Sahara, David P.</creator><creator>Sarsito, Dina A.</creator><creator>Natawidjaja, Danny H.</creator><creator>Sukmono, Sigit</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8561-839X</orcidid></search><sort><creationdate>20220601</creationdate><title>Correlation Dimension in Sumatra Island Based on Active Fault, Earthquake Data, and Estimated Horizontal Crustal Strain to Evaluate Seismic Hazard Functions (SHF)</title><author>Triyoso, Wahyu ; Sahara, David P. ; Sarsito, Dina A. ; Natawidjaja, Danny H. ; Sukmono, Sigit</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a405t-64b32b4dadd14deb2af3d8caa89765056038f9c65587eaa512a837621fc8a7f83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>active fault</topic><topic>b-value</topic><topic>correlation dimension</topic><topic>earthquake</topic><topic>Earthquakes</topic><topic>Fault lines</topic><topic>Fractals</topic><topic>Geometry</topic><topic>GPS</topic><topic>seismic moment rate</topic><topic>Stress</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Triyoso, Wahyu</creatorcontrib><creatorcontrib>Sahara, David P.</creatorcontrib><creatorcontrib>Sarsito, Dina A.</creatorcontrib><creatorcontrib>Natawidjaja, Danny H.</creatorcontrib><creatorcontrib>Sukmono, Sigit</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content 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 China</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>GeoHazards</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Triyoso, Wahyu</au><au>Sahara, David P.</au><au>Sarsito, Dina A.</au><au>Natawidjaja, Danny H.</au><au>Sukmono, Sigit</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correlation Dimension in Sumatra Island Based on Active Fault, Earthquake Data, and Estimated Horizontal Crustal Strain to Evaluate Seismic Hazard Functions (SHF)</atitle><jtitle>GeoHazards</jtitle><date>2022-06-01</date><risdate>2022</risdate><volume>3</volume><issue>2</issue><spage>227</spage><epage>241</epage><pages>227-241</pages><issn>2624-795X</issn><eissn>2624-795X</eissn><abstract>This study intends to evaluate the possible correlation between the correlation dimension (DC) and the seismic moment rate for different late Quaternary active fault data, shallow crustal earthquakes, and GPS on the island of Sumatra Probabilistic Seismic Hazard Analysis (PSHA). The seismicity smoothing was applied to estimate the DC of active faults (DF) and earthquake data (DE) and then to correlate that with the b-value, which will be used to identify seismic hazard functions (SHF) along with the Sumatra Fault Zone (SFZ). The seismicity based on GPS data was calculated by the seismic moment rate that is estimated based on pre-seismic horizontal surface displacement data. The correlation between DF, DE, and the b-value was analyzed, and a reasonable correlation between the two seismotectonic parameters, DF-b, and DE-b, respectively, could be found. The relatively high DC coincides with the high seismic moment rate model derived from the pre-seismic GPS data. Furthermore, the SHF curve of total probability of exceedance versus the mean of each observation point’s peak ground acceleration (PGA) shows that the relatively high correlation dimension coincides with the high SHF. The results of this study might be very beneficial for seismic mitigation in the future.</abstract><cop>Dallas</cop><pub>MDPI AG</pub><doi>10.3390/geohazards3020012</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-8561-839X</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2624-795X |
ispartof | GeoHazards, 2022-06, Vol.3 (2), p.227-241 |
issn | 2624-795X 2624-795X |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_4c859bcd43234dcabb2c731c84bd8c86 |
source | Publicly Available Content Database |
subjects | active fault b-value correlation dimension earthquake Earthquakes Fault lines Fractals Geometry GPS seismic moment rate Stress |
title | Correlation Dimension in Sumatra Island Based on Active Fault, Earthquake Data, and Estimated Horizontal Crustal Strain to Evaluate Seismic Hazard Functions (SHF) |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T12%3A35%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Correlation%20Dimension%20in%20Sumatra%20Island%20Based%20on%20Active%20Fault,%20Earthquake%20Data,%20and%20Estimated%20Horizontal%20Crustal%20Strain%20to%20Evaluate%20Seismic%20Hazard%20Functions%20(SHF)&rft.jtitle=GeoHazards&rft.au=Triyoso,%20Wahyu&rft.date=2022-06-01&rft.volume=3&rft.issue=2&rft.spage=227&rft.epage=241&rft.pages=227-241&rft.issn=2624-795X&rft.eissn=2624-795X&rft_id=info:doi/10.3390/geohazards3020012&rft_dat=%3Cproquest_doaj_%3E2679732085%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a405t-64b32b4dadd14deb2af3d8caa89765056038f9c65587eaa512a837621fc8a7f83%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2679732085&rft_id=info:pmid/&rfr_iscdi=true |