Shear wave velocity profiling by inverse analysis of array microtremors for two cities in Iran: conventional derivative-based versus genetic algorithm inversion methods

S. Mohammad Sadegh Sahraeian, Ali Kavand and Abbas Ghalandarzadeh ()
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S. Mohammad Sadegh Sahraeian: Shiraz University of Technology
Ali Kavand: University of Tehran
Abbas Ghalandarzadeh: University of Tehran

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2020, vol. 102, issue 1, No 15, 335-363

Abstract: Abstract GA-based and conventional derivative-based inversion methods were employed to determine Vs profile of subsurface soil layers from array microtremors for two cities in Iran. The applied methods were verified against geotechnical and geophysical data. The results obtained by both GA-based and conventional inversions were in acceptable agreement with results of other Vs profiling techniques. However, the variability of obtained Vs data was smaller at deeper depths indicating more reliability of predictions. Comparison between seismic ground response based on Vs profiles of different methods showed that both GA-based and conventional inversion methods agree more with the seismic downhole method than the seismic refraction technique.

Keywords: Shear wave velocity; Microtremor array measurement; Genetic algorithm; Inversion; f–k method; Dispersion curve; Rayleigh surface waves (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11069-020-03929-6

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