Ground Motion Prediction Equations for Malaysia Due to Subduction Zone Earthquakes in Sumatran Region
There has been numerous seismic hazard studies so far that includes Malaysian territories. However, there is a need to assess how reliable those studies are. Two main potential contributors to error have been identified: 1) seismic hazard analysis method and 2) ground motion prediction equation (GMP...
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IEEE
2017-01-01
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Online Access: | https://ieeexplore.ieee.org/document/8023962/ |
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author | M. S. Liew Kamaluddeen Usman Danyaro Mazlina Mohamad Lim Eu Shawn Aziz Aulov |
author_facet | M. S. Liew Kamaluddeen Usman Danyaro Mazlina Mohamad Lim Eu Shawn Aziz Aulov |
author_sort | M. S. Liew |
collection | DOAJ |
description | There has been numerous seismic hazard studies so far that includes Malaysian territories. However, there is a need to assess how reliable those studies are. Two main potential contributors to error have been identified: 1) seismic hazard analysis method and 2) ground motion prediction equation (GMPE). The amount of variation in predicting erroneous GMPE is huge. Thus, this paper concentrates on generating new GMPEs due to subduction specified for Malaysia and validated against developed GMPE. Empirical method for GMPE generation was utilized using recorded ground motion data acquired from the Malaysian Meteorological Department. The earthquakes were grouped according to the source, and only source types in the Sumatran subduction area were used due to the availability of enough data to identify a pattern. Three GMPEs were generated for three different source types, namely, shallow subduction earthquake, deep subduction earthquake, and backarc earthquake sources. Sumatran strike slip fault is considered within backarc seismicity. They were compared with the models proposed by Petersen (modified from Young), Atkinson and Boore, and Megawati. The comparison results showed that the proposed models are far superior at predicting the earthquakes in the Sumatran region, with percentage difference between estimates and the recorded values being the lowest. Therefore, the equations should be used in further seismic hazard analyses. Thus, this paper becomes a part of the recent initiatives in Malaysia to assess the hazards posed by earthquakes. |
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last_indexed | 2024-12-22T06:21:40Z |
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spelling | doaj.art-18fc3b16cff34129b1157c9a405fbd6f2022-12-21T18:35:56ZengIEEEIEEE Access2169-35362017-01-015239202393710.1109/ACCESS.2017.27483608023962Ground Motion Prediction Equations for Malaysia Due to Subduction Zone Earthquakes in Sumatran RegionM. S. Liew0Kamaluddeen Usman Danyaro1https://orcid.org/0000-0003-1022-4983Mazlina Mohamad2Lim Eu Shawn3Aziz Aulov4Universiti Teknologi PETRONAS, Seri Iskandar, MalaysiaUniversiti Teknologi PETRONAS, Seri Iskandar, MalaysiaUniversiti Teknologi PETRONAS, Seri Iskandar, MalaysiaUniversiti Teknologi PETRONAS, Seri Iskandar, MalaysiaAirport Consulting Partners GmbH Beratende Ingenieure, Stuttgart, GermanyThere has been numerous seismic hazard studies so far that includes Malaysian territories. However, there is a need to assess how reliable those studies are. Two main potential contributors to error have been identified: 1) seismic hazard analysis method and 2) ground motion prediction equation (GMPE). The amount of variation in predicting erroneous GMPE is huge. Thus, this paper concentrates on generating new GMPEs due to subduction specified for Malaysia and validated against developed GMPE. Empirical method for GMPE generation was utilized using recorded ground motion data acquired from the Malaysian Meteorological Department. The earthquakes were grouped according to the source, and only source types in the Sumatran subduction area were used due to the availability of enough data to identify a pattern. Three GMPEs were generated for three different source types, namely, shallow subduction earthquake, deep subduction earthquake, and backarc earthquake sources. Sumatran strike slip fault is considered within backarc seismicity. They were compared with the models proposed by Petersen (modified from Young), Atkinson and Boore, and Megawati. The comparison results showed that the proposed models are far superior at predicting the earthquakes in the Sumatran region, with percentage difference between estimates and the recorded values being the lowest. Therefore, the equations should be used in further seismic hazard analyses. Thus, this paper becomes a part of the recent initiatives in Malaysia to assess the hazards posed by earthquakes.https://ieeexplore.ieee.org/document/8023962/Ground motion prediction equationearthquakes in Malaysiaearthquakes in the sumatran regionseismic hazard |
spellingShingle | M. S. Liew Kamaluddeen Usman Danyaro Mazlina Mohamad Lim Eu Shawn Aziz Aulov Ground Motion Prediction Equations for Malaysia Due to Subduction Zone Earthquakes in Sumatran Region IEEE Access Ground motion prediction equation earthquakes in Malaysia earthquakes in the sumatran region seismic hazard |
title | Ground Motion Prediction Equations for Malaysia Due to Subduction Zone Earthquakes in Sumatran Region |
title_full | Ground Motion Prediction Equations for Malaysia Due to Subduction Zone Earthquakes in Sumatran Region |
title_fullStr | Ground Motion Prediction Equations for Malaysia Due to Subduction Zone Earthquakes in Sumatran Region |
title_full_unstemmed | Ground Motion Prediction Equations for Malaysia Due to Subduction Zone Earthquakes in Sumatran Region |
title_short | Ground Motion Prediction Equations for Malaysia Due to Subduction Zone Earthquakes in Sumatran Region |
title_sort | ground motion prediction equations for malaysia due to subduction zone earthquakes in sumatran region |
topic | Ground motion prediction equation earthquakes in Malaysia earthquakes in the sumatran region seismic hazard |
url | https://ieeexplore.ieee.org/document/8023962/ |
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