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Selection and Modification of Ground Motion Prediction Equations for Makran Subduction Zone, Southeast Iran

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Abstract

The Iranian Plateau is considered mostly as a shallow crustal area, except the Makran region in southeast Iran where subduction events can occur. Because of the tectonic characteristics of the Makran subduction zone, different categories of ground motion prediction equations (GMPEs) are required for seismic hazard assessment, including GMPEs for shallow crustal events and subduction zone earthquakes (both in-slab and interface events). To show the applicability of candidate GMPEs, a selected dataset consisting of 314 records from 80 earthquakes is used for statistical analyses and modification of the candidate GMPEs. The earthquakes in the studied area are classified into two groups: shallow (events with focal depth less than 40 km; including 67 events and 210 records) and in-slab (events with focal depth more than 40 km; 13 events and 104 records). There are no recorded instrumental data in the region for the interface earthquakes. About ten GMPEs (developed based on local, regional, and global data) for shallow earthquakes are initial candidates for selection and modification in the studied region. In addition, four relationships are used in the statistical analyses for in-slab events. Different statistical analyses have been applied to show the performance of GMPEs and their applicability for the region. The results show that the modification term applied in the GMPEs improved the applicability of the relations significantly. The results are very important for the assessment of seismic hazard in the Makran region and other neighborhood countries, i.e., Oman and United Arab Emirates. Finally, a new model for vertical-to-horizontal spectral ratio has been proposed for the studied region that helps us to obtain vertical design spectra from horizontal spectra and their predominant scenarios resulting from seismic hazard analyses.

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References

  • Abrahamson, N. A., Silva, W. J., & Kamai, R. (2014). Summary of the ASK14 ground motion relation for active crustal regions. Earthquake Spectra, 30(3), 1025–1055.

    Article  Google Scholar 

  • Abrahamson, N., Gregor, N., & Addo, K. (2016). BC Hydro ground motion prediction equations for subduction earthquakes. Earthquake Spectra, 32(1), 23–44.

    Article  Google Scholar 

  • Adams, J., & Atkinson, G. (2003). Development of seismic hazard maps for the proposed 2005 edition of the National Building Code of Canada. Canadian Journal of Civil Engineering, 30, 255–271.

    Article  Google Scholar 

  • Building Seismic Safety Council. (2009). National earthquake hazards reduction program recommended seismic provisions for new buildings and other structures. Federal Emergency Management Agency.

    Google Scholar 

  • Akkar, S., & Bommer, J. J. (2010). Empirical equations for the prediction of PGA, PGV, and spectral accelerations in Europe, the Mediterranean region, and the Middle East. Seismological Research Letters, 81(2), 195–206.

    Article  Google Scholar 

  • Akkar, S., & Kale, Ö. (2014). Reply to “Comment on ‘A new procedure for selecting and ranking ground-motion prediction equations (GMPEs): the Euclidean Distance-Based Ranking (EDR) Method’byÖzkan Kale and Sinan Akkar” by Sum Mak, Robert Alan Clements, and DanijelSchorlemmer. Bulletin of the Seismological Society of America, 104(6), 3141–3144.

    Article  Google Scholar 

  • Akkar, S., Sandıkkaya, M. A., & Ay, B. Ö. (2014). Compatible ground-motion prediction equations for damping scaling factors and vertical-to-horizontal spectral amplitude ratios for the broader Europe region. Bulletin of Earthquake Engineering, 12(1), 517–547.

    Article  Google Scholar 

  • Ansari, A., Noorzad, A., Zafarani, H., & Vahidifard, H. (2010). Correction of highly noisy strong motion records using a modified wavelet de-noising method. Soil Dynamics and Earthquake Engineering, 30(11), 1168–1181.

    Article  Google Scholar 

  • Atkinson, G. M. (2015). Ground-motion prediction equation for small-to-moderate events at short hypocentral distances, with application to induced-seismicity hazards. Bulletin of the Seismological Society of America, 105(2A), 981–992.

    Article  Google Scholar 

  • Atkinson, G. M., & Adams, J. (2013). Ground motion prediction equations for application to the 2015 Canadian national seismic hazard maps. Canadian Journal of Civil Engineering, 40(10), 988–998.

    Article  Google Scholar 

  • Atkinson, G. M., & Boore, D. M. (2003). Empirical ground-motion relations for subduction-zone earthquakes and their application to Cascadia and other regions. Bulletin of the Seismological Society of America, 93(4), 1703–1729.

    Article  Google Scholar 

  • Atkinson, G. M., & Morrison, M. (2009). Observations on regional variability in ground-motion amplitudes for small-to-moderate earthquakes in North America. Bulletin of the Seismological Society of America, 99(4), 2393–2409.

    Article  Google Scholar 

  • Beauval, C., Tasan, H., Laurendeau, A., Delavaud, E., Cotton, F., Guéguen, P., & Kuehn, N. (2012). On the testing of ground-motion prediction equations against small-magnitude data. Bulletin of the Seismological Society of America, 102(5), 1994–2007.

    Article  Google Scholar 

  • Bindi, D., Luzi, L., Pacor, F., Franceschina, G., & Castro, R. R. (2006). Ground-motion predictions from empirical attenuation relationships versus recorded data: the case of the 1997–1998 Umbria-Marche, central Italy, strong-motion data set. Bulletin of the Seismological Society of America, 96(3), 984–1002.

    Article  Google Scholar 

  • Bindi, D., Massa, M., Luzi, L., Ameri, G., Pacor, F., Puglia, R., & Augliera, P. (2014). Pan-European ground-motion prediction equations for the average horizontal component of PGA, PGV, and 5%-damped PSA at spectral periods up to 3.0 s using the RESORCE dataset. Bulletin of Earthquake Engineering, 12(1), 391–430.

    Article  Google Scholar 

  • Bommer, J. J., & Scherbaum, F. (2005). Capturing and limiting groundmotion uncertainty in seismic hazard assessment. Directions in strong motion instrumentation (pp. 25–40). Springer.

    Chapter  Google Scholar 

  • Bommer, J. J., Akkar, S., & Kale, Ö. (2011). A model for vertical-to-horizontal response spectral ratios for Europe and the Middle East. Bulletin of the Seismological Society of America, 101(4), 1783–1806.

    Article  Google Scholar 

  • Boore, D. M., & Campbell, K. W. (2017). Adjusting central and eastern North America ground-motion intensity measures between sites with different reference-rock site conditions. Bulletin of the Seismological Society of America, 107(1), 132–148.

    Article  Google Scholar 

  • Boore, D. M., Stewart, J. P., Seyhan, E., & Atkinson, G. M. (2014). NGA-West2 equations for predicting PGA, PGV, and 5% damped PSA for shallow crustal earthquakes. Earthquake Spectra, 30(3), 1057–1085.

    Article  Google Scholar 

  • Campbell, K. W., & Bozorgnia, Y. (2014). NGA-West2 ground motion model for the average horizontal components of PGA, PGV, and 5% damped linear acceleration response spectra. Earthquake Spectra, 30(3), 1087–1115.

    Article  Google Scholar 

  • Chiou, B. S. J. & Youngs, R. R. (2012). Updating the Chiou and Youngs NGA model: regionalization of anelastic attenuation. In: Proceedings of the 15th world conference on earthquake engineering.

  • Chiou, B. S. J., & Youngs, R. R. (2014). Update of the Chiou and Youngs NGA model for the average horizontal component of peak ground motion and response spectra. Earthquake Spectra, 30(3), 1117–1153.

    Article  Google Scholar 

  • Danciu, L., Kale, Ö., & Akkar, S. (2018). The 2014 earthquake model of the Middle East: ground motion model and uncertainties. Bulletin of Earthquake Engineering, 16(8), 3497–3533.

    Article  Google Scholar 

  • Delavaud, E., Scherbaum, F., Kuehn, N., & Riggelsen, C. (2009). Information-theoretic selection of ground-motion prediction equations for seismic hazard analysis: an applicability study using Californian data. Bulletin of the Seismological Society of America, 99(6), 3248–3263.

    Article  Google Scholar 

  • Delavaud, E., Scherbaum, F., Kuehn, N., & Allen, T. (2012). Testing the global applicability of ground-motion prediction equations for active shallow crustal regions. Bulletin of the Seismological Society of America, 102(2), 707–721.

    Article  Google Scholar 

  • Douglas, J. (2004). An investigation of analysis of variance as a tool for exploring regional differences in strong ground motions. Journal of Seismology, 8(4), 485–496.

    Article  Google Scholar 

  • Efron, B., & Tibshirani, R. J. (1993). An introduction to the bootstrap. Monographs on statistics and applied probability, vol 57 (p. 17). CRC Press.

    Google Scholar 

  • Eurocode 8. (2004). Design of structures for earthquake resistance, part 1, general rules, seismic actions and rules for buildings, EN 1998-1. Comité Européen de Normalisation (CEN).

    Google Scholar 

  • Farajpour, Z., Pezeshk, S., & Zare, M. (2019). A new empirical ground-motion model for Iran. Bulletin of the Seismological Society of America, 109(2), 732–744.

    Article  Google Scholar 

  • Ghasemi, H., Zare, M., Fukushima, Y., & Sinaeian, F. (2009a). Applying empirical methods in site classification, using response spectral ratio (H/V): a case study on Iranian strong motion network (ISMN). Soil Dynamics and Earthquake Engineering, 29(1), 121–132.

    Article  Google Scholar 

  • Ghasemi, H., Zare, M., Fukushima, Y., & Koketsu, K. (2009b). An empirical spectral ground-motion model for Iran. Journal of Seismology, 13(4), 499–515.

    Article  Google Scholar 

  • Gülerce, Z., & Abrahamson, N. A. (2011). Site-specific design spectra for vertical ground motion. Earthquake Spectra, 27(4), 1023–1047.

    Article  Google Scholar 

  • Hintersberger, E., Scherbaum, F., & Hainzl, S. (2007). Update of likelihood-based ground-motion model selection for seismic hazard analysis in western central Europe. Bulletin of Earthquake Engineering, 5(1), 1–16.

    Article  Google Scholar 

  • Kaklamanos, J., Baise, L. G., & Boore, D. M. (2011). Estimating unknown input parameters when implementing the NGA ground-motion prediction equations in engineering practice. Earthquake Spectra, 27(4), 1219–1235.

    Article  Google Scholar 

  • Kale, Ö. (2019). Some discussions on data-driven testing of ground-motion prediction equations under the Turkish ground-motion database. Journal of Earthquake Engineering, 23(1), 160–181.

    Article  Google Scholar 

  • Kale, Ö., & Akkar, S. (2013). A new procedure for selecting and ranking ground-motion prediction equations (GMPEs): the Euclidean distance-based ranking (EDR) method. Bulletin of the Seismological Society of America, 103(2A), 1069–1084.

    Article  Google Scholar 

  • Kale, Ö., Akkar, S., Ansari, A., & Hamzehloo, H. (2015). A ground-motion predictive model for Iran and Turkey for horizontal PGA, PGV, and 5% damped response spectrum: investigation of possible regional effects. Bulletin of the Seismological Society of America, 105(2A), 963–980.

    Article  Google Scholar 

  • Lin, P. S., & Lee, C. T. (2008). Ground-motion attenuation relationships for subduction-zone earthquakes in northeastern Taiwan. Bulletin of the Seismological Society of America, 98(1), 220–240.

    Article  Google Scholar 

  • Mak, S., Clements, R. A., & Schorlemmer, D. (2014). Comment on “A new procedure for selecting and ranking ground-motion prediction equations (GMPEs): the Euclidean distance-based ranking (EDR) method” by Özkan Kale and Sinan Akkar. Bulletin of the Seismological Society of America, 104(6), 3139–3140.

    Article  Google Scholar 

  • Massa, M., Luzi, L., Pacor, F., Bindi, D., & Ameri, G. (2010). Comparison between empirical predictive equations calibrated at global and national scale and the Italian strong-motion data. Bollettino di Geofisica Teoricaed Applicata, 53, 37–53.

    Google Scholar 

  • Mirzaei, N., Mengtan, G., & Yuntai, C. (1998). Seismic source regionalization for seismic zoning of Iran: major seismotectonic provinces. Journal of Earthquake Prediction Research, 7, 465–495.

    Google Scholar 

  • Mousavi, M., Ansari, A., Zafarani, H., & Azarbakht, A. (2012). Selection of ground motion prediction models for seismic hazard analysis in the Zagros region, Iran. Journal of Earthquake Engineering, 16(8), 1184–1207.

    Article  Google Scholar 

  • Nowroozi, A. A. (1976). Seismotectonic provinces of Iran. Bulletin of the Seismological Society of America, 66(4), 1249–1276.

    Google Scholar 

  • Palaskas, M. N., He, L., & Chegini, M. (1996). Vertical seismic forces on elevated concrete slabs. Practice Periodical on Structural Design and Construction, 1(3), 88–90.

    Article  Google Scholar 

  • Papazoglou, A. J., & Elnashai, A. S. (1996). Analytical and field evidence of the damaging effect of vertical earthquake ground motion. Earthquake Engineering and Structural Dynamics, 25(10), 1109–1137.

    Article  Google Scholar 

  • Penney, C., Tavakoli, F., Saadat, A., Nankali, H. R., Sedighi, M., Khorrami, F., & Priestley, K. (2017). Megathrust and accretionary wedge properties and behaviour in the Makran subduction zone. Geophysical Journal International, 209(3), 1800–1830.

    Article  Google Scholar 

  • Pezeshk, S., Zandieh, A., Campbell, K. W., & Tavakoli, B. (2018). Ground-motion prediction equations for central and eastern North America using the hybrid empirical method and NGA-West2 empirical ground-motion models. Bulletin of the Seismological Society of America, 108(4), 2278–2304.

    Article  Google Scholar 

  • Saadeghvaziri, M. A., & Foutch, D. A. (1991). Dynamic behaviour of R/C highway bridges under the combined effect of vertical and horizontal earthquake motions. Earthquake Engineering and Structural Dynamics, 20(6), 535–549.

    Article  Google Scholar 

  • Scasserra, G., Stewart, J. P., Bazzurro, P., Lanzo, G., & Mollaioli, F. (2009). A comparison of NGA ground-motion prediction equations to Italian data. Bulletin of the Seismological Society of America, 99(5), 2961–2978.

    Article  Google Scholar 

  • Scherbaum, F., Cotton, F., & Smit, P. (2004). On the use of response spectral-reference data for the selection and ranking of ground-motion models for seismic-hazard analysis in regions of moderate seismicity: the case of rock motion. Bulletin of the Seismological Society of America, 94(6), 2164–2185.

    Article  Google Scholar 

  • Scherbaum, F., Delavaud, E., & Riggelsen, C. (2009). Model selection in seismic hazard analysis: an information-theoretic perspective. Bulletin of the Seismological Society of America, 99(6), 3234–3247.

    Article  Google Scholar 

  • Shahvar, M. P., Zare, M., & Castellaro, S. (2013). A unified seismic catalog for the Iranian plateau (1900–2011). Seismological Research Letters, 84(2), 233–249.

    Article  Google Scholar 

  • Shoja-Taheri, J., Naserieh, S., & Hadi, G. (2010). A test of the applicability of NGA models to the strong ground-motion data in the Iranian plateau. Journal of Earthquake Engineering, 14(2), 278–292.

    Article  Google Scholar 

  • Soghrat, M. R., & Ziyaeifar, M. (2016). A predictive equation for vertical-to-horizontal response spectral ratios in Northern Iran. Bulletin of the Seismological Society of America, 106(1), 123–140.

    Article  Google Scholar 

  • Soghrat, M. R., & Ziyaeifar, M. (2017). Ground motion prediction equations for horizontal and vertical components of acceleration in northern Iran. Journal of Seismology, 21(1), 99–125.

    Article  Google Scholar 

  • Soghrat, M. R., & Ziyaeifar, M. (2019). Development of short return period spectra for the regions with high to moderate seismicity: an example in Iran. Journal of Seismology, 23(3), 521–536.

    Article  Google Scholar 

  • Soghrat, M. R., Khaji, N., & Zafarani, H. (2012). Simulation of strong ground motion in northern Iran using the specific barrier model. Geophysical Journal International, 188(2), 645–679.

    Article  Google Scholar 

  • Stafford, P. J., Strasser, F. O., & Bommer, J. J. (2008). An evaluation of the applicability of the NGA models to ground-motion prediction in the Euro-Mediterranean region. Bulletin of Earthquake Engineering, 6(2), 149–177.

    Article  Google Scholar 

  • Stewart, J. P., Boore, D. M., Seyhan, E., & Atkinson, G. M. (2016). NGA-West2 equations for predicting vertical-component PGA, PGV, and 5%-damped PSA from shallow crustal earthquakes. Earthquake Spectra, 32(2), 1005–1031.

    Article  Google Scholar 

  • Villani, M., Polidoro, B., McCully, R., Ader, T., Edwards, B., Rietbrock, A., Lubkowski, Z., Courtney, T. J., & Walsh, M. (2019). A selection of GMPEs for the United Kingdom based on instrumental and macroseismic datasets. Bulletin of the Seismological Society of America, 109(4), 1378–1400.

    Article  Google Scholar 

  • Zafarani, H., & Farhadi, A. (2017). Testing ground-motion prediction equations against small-to-moderate magnitude data in Iran. Bulletin of the Seismological Society of America, 107(2), 912–933.

    Article  Google Scholar 

  • Zafarani, H., & Mousavi, M. (2014). Applicability of different ground-motion prediction models for northern Iran. Natural Hazards, 73(3), 1199–1228.

    Article  Google Scholar 

  • Zafarani, H., & Soghrat, M. (2012). Simulation of ground motion in the Zagros region of Iran using the specific barrier model and the stochastic method. Bulletin of the Seismological Society of America, 102(5), 2031–2045.

    Article  Google Scholar 

  • Zafarani, H., & Soghrat, M. R. (2017a). A selected dataset of the Iranian strong motion records. Natural Hazards, 86(3), 1307–1332.

    Article  Google Scholar 

  • Zafarani, H., & Soghrat, M. R. (2017b). Single-station sigma for the Iranian strong motion stations. Pure and Applied Geophysics, 174(11), 4077–4099.

    Article  Google Scholar 

  • Zafarani, H., Rahpeyma, S., & Mousavi, M. (2017). Regional adjustment factors for three NGA-West2 ground-motion prediction equations to be applicable in northern Iran. Journal of Seismology, 21(3), 473–493.

    Article  Google Scholar 

  • Zafarani, H., Luzi, L., Lanzano, G., & Soghrat, M. R. (2018). Empirical equations for the prediction of PGA and pseudo spectral accelerations using Iranian strong-motion data. Journal of Seismology, 22(1), 263–285.

    Article  Google Scholar 

  • Zhao, J. X., Zhang, J., Asano, A., Ohno, Y., Oouchi, T., Takahashi, T., & Fukushima, Y. (2006). Attenuation relations of strong ground motion in Japan using site classification based on predominant period. Bulletin of the Seismological Society of America, 96(3), 898–913.

    Article  Google Scholar 

  • Zolfaghari, M. R., & Darzi, A. (2019). A prediction model for vertical-to-horizontal ratios of PGA, PGV, and 5%-damped response spectra (0.01–10 s) for Iran. Journal of Seismology, 23, 1–19.

    Article  Google Scholar 

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Acknowledgements

The present study was carried out within the framework of the project “Tsunami and Seismic hazard assessment for the Makran region.” Funding for this project was provided by the Budget and Planning Organization of Iran. Our sincere thanks are due to the staff of this organization for their support: Javad Ghane-far, Ali-Reza Totonchi, and Hamid-Reza Khashei. We also thank the Road, Housing and Urban Development Research Center (BHRC) for providing us with the accelerograph database.

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Zafarani, H., Soghrat, M.R. Selection and Modification of Ground Motion Prediction Equations for Makran Subduction Zone, Southeast Iran. Pure Appl. Geophys. 178, 1193–1221 (2021). https://doi.org/10.1007/s00024-021-02690-6

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