Abbasnejadfard, M., Bastami, M., Jafari, M. K., & Azadi, A. (2023). Spatial correlation models of VS30 values: A case study of the Tehran region. Engineering Geology, 325, 107300.
ALA. (2001). Seismic fragility formulations for water systems, Part 1: Guidelines. American Lifeline Alliance, ASCE.
Alikhanzadeh, R., & Zafarani, H. (2023). Physics-based probabilistic seismic hazard analysis: The case of Tehran Basin in Iran. Bulletin of Earthquake Engineering, 21(14), 6171–6214.
Ashtari, M., Hatzfeld, D., & Kamalian, N. (2005). Microseismicity in the region of Tehran. Tectonophysics, 395(3–4), 193–208.
Askari, F., & Kasaei, M. (2003). Analysis of liquefaction potential in some parts of southeast Tehran. Electronic Journal of Geotechnical Engineering.
Baratian, A., & Kashani, H. (2022). Probabilistic framework to quantify the seismic resilience of natural gas distribution networks. International Journal of Disaster Risk Reduction, 81, 103282.
Berberian, M., & Yeats, R. S. (1999). Patterns of historical earthquake rupture in the Iranian Plateau. Bulletin of the Seismological Society of America, 89(1), 120–139.
Berberian, M., & Yeats, R. S. (2017). Tehran: An earthquake time bomb.
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.
Crowley, H., & Bommer, J. J. (2006). Modelling seismic hazard in earthquake loss models with spatially distributed exposure. Bulletin of Earthquake Engineering, 4(3), 249–273.
De Risi, R., De Luca, F., Kwon, O. S., & Sextos, A. (2018). Scenario-based seismic risk assessment for buried transmission gas pipelines at regional scale. Journal of Pipeline Systems Engineering and Practice, 9(4), 04018018.
Eidinger, J. M. (2020). Seismic fragility of natural gas transmission pipelines and wells (Technical Report). G&E Engineering Systems Inc.
Eskandari, M., Omidvar, B., Modiri, M., Nekooie, M. A., & Alesheikh, A. A. (2017). Geospatial analysis of earthquake damage probability of water pipelines due to multi-hazard failure. ISPRS International Journal of Geo-Information, 6(6), 169.
Esposito, S., & Iervolino, I. (2014). Application to L'Aquila gas network. In SYNER-G: Systemic seismic vulnerability and risk assessment of complex urban, utility, lifeline systems and critical facilities: Methodology and applications (pp. 283–299). Springer.
Farahani, S., Tahershamsi, A., & Behnam, B. (2020). Earthquake and post-earthquake vulnerability assessment of urban gas pipelines network. Natural Hazards, 101, 327–347.
Federal Emergency Management Agency. (2004). Using HAZUS-MH for risk assessment.
Firuzi, E., Ansari, A., Amini Hosseini, K., & Karkooti, E. (2022). Developing a customized system for generating near real time ground motion ShakeMap of Iran's earthquakes. Journal of Earthquake Engineering, 26(7), 3680–3702.
Firuzi, E., Ansari, A., Amini Hosseini, K., & Kheirkhah, N. (2024). Developing an earthquake damaged-based multiseverity casualty method by using Monte Carlo simulation and fuzzy logic; case study: Mosha fault seismic scenario, Tehran, Iran. Stochastic Environmental Research and Risk Assessment, 1–21.
Firuzi, E., Ansari, A., Amini Hosseini, K., & Rashidabadi, M. (2019). Probabilistic earthquake loss model for residential buildings in Tehran, Iran to quantify annualized earthquake loss. Bulletin of Earthquake Engineering, 17, 2383–2406.
Gehl, P., Desramaut, N., Réveillère, A., & Modaressi, H. (2014). Fragility functions of gas and oil networks. In SYNER-G: Typology definition and fragility functions for physical elements at seismic risk: Buildings, lifelines, transportation networks and critical facilities (pp. 187–220). Springer.
Ghafoori, S. M. M., Zafarani, H., & Adlparvar, M. R. (2020). Identification of optimization-based probabilistic scenarios for seismic loss analysis of Qom lifelines. Bulletin of Earthquake Science and Engineering, 7(1), 1–14.
Japan International Cooperation Agency. (2000). The study on seismic microzoning of the greater Tehran area in the Islamic Republic of Iran (Final Report, Main Report, SSF JR 00186).
Japan International Cooperation Agency & Tehran Disaster Mitigation and Management Organization. (2004). The comprehensive master plan study on urban seismic disaster prevention and management for the greater Tehran area in the Islamic Republic of Iran (Final Main Report, JR 04-039).
Kalantari, M., Firuzi, E., Ahmadipour, M., & Sorooshian, S. (2023). Estimating annualized earthquake loss for residential buildings in Tehran, Iran. Bulletin of Earthquake Engineering, 21(4), 2259–2280.
Kale, O., 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.
Kheirkhah, N., Kalantari, M., Firuzi, E., & Amini Hosseini, K. (2021). Assessing the sensitivity of seismic loss estimation to the geographic resolution of building exposure model. Journal of Seismology and Earthquake Engineering, 23(3), 67–78.
Kotha, S. R., Bindi, D., & Cotton, F. (2016). Partially non-ergodic region specific GMPE for Europe and Middle-East. Bulletin of Earthquake Engineering, 14(4), 1245–1263.
Mousavi, M., Hesari, M., & Azarbakht, A. (2014). Seismic risk assessment of the 3rd Azerbaijan gas pipeline in Iran. Natural Hazards, 74, 1327–1348.
Nourzadeh, D. D., Mortazavi, P., Ghalandarzadeh, A., Takada, S., & Ahmadi, M. (2019). Performance assessment of the Greater Tehran Area buried gas distribution pipeline network under liquefaction. Soil Dynamics and Earthquake Engineering, 124, 16–34.
Pagani, M., Monelli, D., Weatherill, G., Danciu, L., Crowley, H., Silva, V., ... & Vigano, D. (2014). OpenQuake engine: An open hazard (and risk) software for the global earthquake model. Seismological Research Letters, 85(3), 692–702.
Saygili, G., & Rathje, E. M. (2008). Empirical predictive models for earthquake-induced sliding displacements of slopes. Journal of Geotechnical and Geoenvironmental Engineering, 134(6), 790–803.
Statistical Centre of Iran. (2016). National census of population and housing technical reports (Years: 2016, 2011, 2006, 1996, 1986, 1976). https://www.amar.org.ir
Silva, V. (2017). Critical issues on probabilistic earthquake loss assessment. Journal of Earthquake Engineering, 22(9), 1683–1709.
Weatherill, G., Esposito, S., Iervolino, I., Franchin, P., & Cavalieri, F. (2014). Framework for seismic hazard analysis of spatially distributed systems. In SYNER-G: Systemic seismic vulnerability and risk assessment of complex urban, utility, lifeline systems and critical facilities: Methodology and applications (pp. 57–88). Springer.
Zafarani, H., Noorzad, A., Ansari, A., & Bargi, K. (2009). Stochastic modeling of Iranian earthquakes and estimation of ground motion for future earthquakes in Greater Tehran. Soil Dynamics and Earthquake Engineering, 29(4), 722–741.
Zafarani, H., Vahidifard, H., & Ansari, A. (2012). Sensitivity of ground-motion scenarios to earthquake source parameters in the Tehran metropolitan area, Iran. Soil Dynamics and Earthquake Engineering, 43, 342–354.
Zafarani, H., Ghafoori, S. M. M., Soghrat, M., & Shafiee, M. (2020). Spatial correlation of peak ground motions and pseudo-spectral acceleration based on the Sarpol-e-Zahab Mw 7.3, 2017 earthquake data. Annals of Geophysics, 63(4), SE439.
Zafarani, H., Ghafoori, S. M. M., & Adlaparvar, M. R. (2022). Spatial correlation of peak ground motions and pseudo spectral acceleration based on the Iranian multievent datasets. Journal of Earthquake Engineering, 26(12), 6042–6062.
Zafarani, H., Khalaj, A., Ghafoori, S. M. M., & Soghrat, M. R. (2025). Spatial correlation of peak ground motions (PGA and PGV) and spectral accelerations based on the Iranian earthquake data. Pure and Applied Geophysics, 1–16.
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.