Selection of ground motion attenuation model for Peninsular Malaysia due to far-field Sumatra earthquakes

Van, Tze Che; Lau, Tze Liang; Mok, Chai Fung

doi:10.1007/s11069-015-2036-8

Cited by 7 publications

(9 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Naturally, past attempts either adapted or adopted regional GMPEs or relied on the available limited data for developing GMPEs suitable for this region (Adnan et al, 2005;Pan and Megawati, 2002;Petersen et al, 2004). The collection of seismic ground motion data since 2004 by MMD, albeit relatively smaller in quantity compared to more earthquake active regions, has since allowed researchers to either identify suitable GMPEs (Van et al, 2016) or develop independent GMPEs for the peninsula (Adnan and Suhaltril, 2009;Loi, 2018;Nabilah and Balendra, 2012;Shoushtari et al, 2016) using the available ground motion records. , Van et al (2016) and Shoushtari et al (2015) have compared the adaptability of selected worldwide GMPEs revealing their limitations wherein most of them either overestimated or underestimated the actual ground motion data for the peninsula.…”

Section: Ground Motion Prediction Equations (Gmpes)mentioning

confidence: 99%

“…new GMPEs for this region (Loi, 2018;Shoushtari et al, 2016;Van et al, 2016) will be used in performing DSHA and PSHA for Peninsular Malaysia encompassing a rectangular area of 1-7 • N and 99-105 • E. The outcomes of the present research comprises (a) seismic hazard maps based on both DSHA and PSHA via ground motion in terms of PGA at bedrock and (b) hazard curves for major cities throughout the peninsula. The PSHA hazard map will also present the PGA with 2 % and 10 % probabilities of exceedance (PE) in 50 years.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Revisiting seismic hazard assessment for Peninsular Malaysia using deterministic and probabilistic approaches

Loi

Raghunandan

Swamy

2018

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Seismic hazard assessments, both deterministic and probabilistic, for Peninsular Malaysia have been carried out using peak ground acceleration (PGA) data recorded between 2004 and 2016 by the Malaysian Meteorological Department using triaxial accelerometers placed at 19 seismic stations on the peninsula. Seismicity source modelling for the deterministic seismic hazard assessment (DSHA) used historical point sources whereas in the probabilistic (PSHA) approach, line and areal sources were used. The earthquake sources comprised the Sumatran subduction zone (SSZ), Sumatran fault zone (SFZ) and local intraplate (LI) faults. Gutenberg–Richter law b value for the various zones identified within the SSZ ranged between 0.56 and 1.06 (mean=0.82) and for the zones within the SFZ, between 0.57 and 1.03 (mean=0.89). Suitable ground motion prediction equations (GMPEs) for Peninsular Malaysia along with other pertinent information were used for constructing a logic tree for PSHA of the region. The DSHA “critical-worst” scenario suggests PGAs of 0.07–0.80 ms−2 (0.7–8.2 percent g), whilst the PSHA suggests mean PGAs of 0.11–0.55 ms−2 (0.5–5.4 percent g) and 0.20–1.02 ms−2 (1.9–10.1 percent g) at 10 % and 2 % probability of exceedance in 50 years, respectively. DSHA and PSHA, despite using different source models and methodologies, both conclude that the central-western cities of Peninsular Malaysia, located between 2 and 4∘ N, are most susceptible to high PGAs, due to neighbouring active Sumatran sources, SFZ and SSZ. Of the two Sumatran sources, surprisingly, the relatively less active SFZ source with low magnitude seismicity appeared as the major contributor due to its proximity. However, potential hazards due to SSZ mega-earthquakes should not be dismissed. Finally, DSHA performed using the limited LI seismic data from the Bukit Tinggi fault at a reasonable moment magnitude (Mw) value of 5.0 predicted a PGA of ∼0.40 ms−2 at Kuala Lumpur.

show abstract

Section: Ground Motion Prediction Equations (Gmpes)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Revisiting seismic hazard assessment for Peninsular Malaysia using deterministic and probabilistic approaches

Loi

Raghunandan

Swamy

2018

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…Naturally, past attempts either adapted or adopted regional GMPEs or relied on the available limited data for developing GMPEs suitable for this region (Adnan et al, 2005;Pan and Megawati, 2002;Petersen et al, 2004). The collection of seismic ground motion data since 2004 by MMD, albeit relatively smaller in quantity compared to more earthquake active regions, has since allowed researchers to either identify suitable GMPEs (Van et al, 2016) or develop independent GMPEs for the peninsula (Adnan and Suhaltril, 2009;Loi et al, 2018;Nabilah and Balendra, 30 2012;Shoushtari et al, 2016) using the available ground motion records. Loi et al (2016), Van et al (2016) either overestimated or underestimated the actual ground motion data for the peninsula.…”

Section: Ground Motion Prediction Equations (Gmpes)mentioning

confidence: 99%

“…The collection of seismic ground motion data since 2004 by MMD, albeit relatively smaller in quantity compared to more earthquake active regions, has since allowed researchers to either identify suitable GMPEs (Van et al, 2016) or develop independent GMPEs for the peninsula (Adnan and Suhaltril, 2009;Loi et al, 2018;Nabilah and Balendra, 30 2012;Shoushtari et al, 2016) using the available ground motion records. Loi et al (2016), Van et al (2016) either overestimated or underestimated the actual ground motion data for the peninsula. Therefore, more accurate GMPEs developed for this region by Loi et al (2018) and Shoushtari et al (2016) together with the GMPE developed for Japan by Si and Midorikawa (2000) are used here to carry out the DSHA and PSHA.…”

Section: Ground Motion Prediction Equations (Gmpes)mentioning

confidence: 99%

“…With intensifying interest in earthquake studies in Malaysia, the present work aims to contribute a detailed study of the seismic hazard faced by Peninsular Malaysia including the development of seismic zonation maps. To this end, updated strong ground motion records obtained from the Malaysian Meteorological Department (MMD) for the period of 2004-2016 in conjunction with the recent findings on the suitability of existing and new GMPEs for this region (Loi et al, 25 2018;Shoushtari et al, 2016;Van et al, 2016) will be used in performing DSHA and PSHA for Peninsular Malaysia encompassing a rectangular area of 1ºN to 7ºN and 99ºE to 105ºE. The outcomes of the present research comprises (a) seismic hazard maps based on both DSHA and PSHA via ground motion in terms of PGA at bedrock and (b) hazard curves for major cities throughout the Peninsula.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Revisiting Seismic Hazard Assessment For Peninsular Malaysia Using Deterministic And Probabilistic Approaches

Loi¹,

Raghunandan²,

Swamy³

2018

Preprint

View full text Add to dashboard Cite

Abstract. Seismic hazard assessments -both deterministic and probabilistic, for Peninsular Malaysia have been carried out using peak ground acceleration (PGA) data recorded between 2004 and 2016 by the Malaysian Meteorological Departmentusing triaxial accelerometers placed at 19 seismic stations within the peninsula and monitored. Seismicity source modelling for the deterministic seismic hazard assessment (DSHA) used historical point sources whereas in the probabilistic (PSHA) approach, line and areal sources were used. The earthquake sources comprised the Sumatran Subduction Zone (SSZ), Sumatran 10 Fault Zone (SFZ), and local intraplate (LI) faults. Gutenberg-Richter law b-value for the various zones identified within the SSZ ranged between 0.56 and 1.06 (mean = 0.83) and that for the zones within SFZ, between 0.53 and 1.13 (mean = 0.84).Suitable ground motion prediction equations (GMPEs) for Peninsular Malaysia along with other pertinent information were used for constructing a logic tree for PSHA of the region. The DSHA "critical-worst" scenario suggests PGAs of 0.07-0.80 ms -2 , whilst the PSHA suggests mean PGAs of 0.06-0.42 ms -2 and 0.12-0.70 ms -2 at 10% and 2% probability of exceedance in 15 50 years, respectively. Both DSHA and PSHA, despite using different source models and methodologies, conclude that the central-western cities of Peninsular Malaysia located between 2°N and 4°N are most susceptible to high PGAs due to neighbouring active Sumatran sources SFZ and SSZ. Surprisingly, the relatively less active SFZ source with low magnitude seismicity appeared as the major contributor, due to its close proximity. Potential hazard due to SSZ mega-earthquakes should not be dismissed, however. Finally, DSHA performed using the limited intraplate seismic data from the Bukit Tinggi (LI) fault 20 at a reasonable Mw 5.0 predicted a PGA of ~0.40 ms -2 at Kuala Lumpur.

show abstract

Household preparedness for future earthquake disaster risk using an extended theory of planned behavior

Zaremohzzabieh

Samah

Roslan

et al. 2021

International Journal of Disaster Risk Reduction

View full text Add to dashboard Cite

Selection of ground motion attenuation model for Peninsular Malaysia due to far-field Sumatra earthquakes

Cited by 7 publications

References 40 publications

Revisiting seismic hazard assessment for Peninsular Malaysia using deterministic and probabilistic approaches

Revisiting seismic hazard assessment for Peninsular Malaysia using deterministic and probabilistic approaches

Revisiting Seismic Hazard Assessment For Peninsular Malaysia Using Deterministic And Probabilistic Approaches

Household preparedness for future earthquake disaster risk using an extended theory of planned behavior

Contact Info

Product

Resources

About