SciELO - Scientific Electronic Library Online

 
vol.125 issue1A practical design approach for an improved resin-anchored tendon author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

    Related links

    • On index processCited by Google
    • On index processSimilars in Google

    Share


    Journal of the Southern African Institute of Mining and Metallurgy

    On-line version ISSN 2411-9717Print version ISSN 2225-6253

    Abstract

    MANZUNZU, B.; DURRHEIM, R.J.  and  MIDZI, V.. Influence of ground motion model selection on seismic hazard for Johannesburg. J. S. Afr. Inst. Min. Metall. [online]. 2025, vol.125, n.1, pp.1-10. ISSN 2411-9717.  https://doi.org/10.17159/2411-9717/3430/2025.

    Selecting ground motion prediction models (GMPM) is crucial in assessing seismic hazard levels in a specific region. This study investigates the influence of ground motion model (GMM) selection on seismic hazard assessment in Johannesburg, South Africa. Most seismic events affecting Johannesburg are related to mining activities and water ingress into the underground mine voids. The most seismically active regions in South Africa include areas around Klerksdorp, Welkom, and Carletonville. These regions experience a significant number of earthquakes, with mining activities being a major factor contributing to seismic events. Ten ground motion prediction equations were selected from regions of similar tectonics setting and were assessed to see if they correspond to the available local data. Six of these were also compared to the ground motions produced by the earthquake of 14 August 2014, which occurred in the Orkney area, one of the mining areas in South Africa. Sensitivity analyses were also carried out to assess the influence of ground motion prediction equations (GMPE) on the seismic hazard of Johannesburg. The results indicate that the choice of GMPM significantly affects the estimation of seismic hazard levels in Johannesburg. Different GMM can lead to varying ground shaking intensity predictions, impacting risk assessments and engineering design considerations. The findings highlight the importance of carefully selecting appropriate GMM tailored to Johannesburg's specific geological and tectonic characteristics. Understanding how different models perform in this region is essential for accurate seismic risk mitigation strategies.

    Keywords : seismic hazard assessment; ground motion prediction equations; sensitivity analysis; Johannesburg.

            · text in English     · English ( pdf )