Empirical equations for the prediction of PGA and pseudo spectral accelerations using Iranian strong-motion data

H Zafarani, L Luzi, G Lanzano, MR Soghrat - Journal of Seismology, 2018 - Springer
A recently compiled, comprehensive, and good-quality strong-motion database of the
Iranian earthquakes has been used to develop local empirical equations for the prediction of …

Empirical evaluation of hierarchical ground‐motion models: Score uncertainty and model weighting

S Mak, RA Clements… - Bulletin of the …, 2017 - pubs.geoscienceworld.org
Using a score to generalize the model performance into one numeric value has been one of
the most popular approaches to empirically evaluate ground‐motion models (GMMs). This …

Evaluation of the predictive performance of regional and global ground motion predictive equations against Greek strong motion data

D Sotiriadis, B Margaris - Soil Dynamics and Earthquake Engineering, 2023 - Elsevier
The aim of the present work is to evaluate the Ground Motion Prediction Equations (GMPEs),
applicable in active shallow crustal regions of Greece, for Peak Ground Acceleration (PGA) …

DEM-based Vs30 map and terrain surface classification in nationwide scale—A case study in Iran

S Karimzadeh, B Feizizadeh, M Matsuoka - ISPRS International Journal of …, 2019 - mdpi.com
Different methods have been proposed to create seismic site condition maps. Ground-based
methods are time-consuming in many places and require a lot of manual work. One method …

Applicability of different ground-motion prediction models for northern Iran

H Zafarani, M Mousavi - Natural Hazards, 2014 - Springer
A total of 163 free-field acceleration time histories recorded at epicentral distances of up to
200 km from 32 earthquakes with moment magnitudes ranging from M w 4.9 to 7.4 have …

Time-dependent seismic hazard analysis for the Greater Tehran and surrounding areas

SM Jalalalhosseini, H Zafarani, M Zare - Journal of Seismology, 2018 - Springer
This study presents a time-dependent approach for seismic hazard in Tehran and
surrounding areas. Hazard is evaluated by combining background seismic activity, and …

An empirical spectral ground-motion model for iran using truncated iranian strong-motion database enriched by near-field records

H Zafarani, MR Soghrat - Journal of Earthquake Engineering, 2024 - Taylor & Francis
An updated strong-motion database of the Iranian earthquakes has been used to propose
empirical equations for the prediction of peak ground velocity (PGV), peak ground …

Earthquake hazard in the Tehran region based on the characteristic earthquake model

H Zafarani, B Hajimohammadi… - Journal of Earthquake …, 2019 - Taylor & Francis
Tehran is the most vulnerable urban area in Iran. Here, the characteristic earthquake model
for the major earthquakes was integrated with the background seismicity to conduct the …

Testing ground‐motion prediction equations against small‐to‐moderate magnitude data in Iran

H Zafarani, A Farhadi - Bulletin of the Seismological …, 2017 - pubs.geoscienceworld.org
The original aim of the present study was to test the efficiency of some selected ground‐
motion prediction equations (GMPEs) against small‐to‐moderate data recorded in the …

Comparison between outcomes of the 2014 Earthquake Hazard Model of the Middle East (EMME14) and national seismic design codes: the case of Iran

M Kohrangi, L Danciu, P Bazzurro - Soil Dynamics and Earthquake …, 2018 - Elsevier
Regional, multi-country seismic hazard models provide a comparison basis for national
seismic hazard models that are generally used to underpin the seismic design prescriptions …