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Fault detection using microtremor data (HVSR-based approach) and electrical resistivity survey
The faults and fractures are known as two of the most important parameters in earthquake occurrence. During the construction in urban areas, faults and fractures may be covered in depth and thus are not visible at the ground surface. In this context, non-invasive geophysical prospecting methods (microtremor and geoelectrical methods) and borehole data were used to detect subsurface geological structures (hidden faults) in a suburb of Shiraz in Iran. The horizontal to vertical spectral ratio (HVSR) method was used to obtain the dynamic parameters (predominant frequency and resonance amplitude) of the soil, to detect hidden faults. The results show that the abrupt changes in the sediment thickness and predominant frequencies at a specific direction (NW-SE) can be related to the displacement of a nearly vertical fault with NW-SE trend. In addition, the electrical resistivity method using continuous resistivity profiling (CRP) and Schlumberger arrays was employed to detect a hidden fault and the results were compared with previous data. The obtained results of both arrays illustrate the presence of a nearly vertical fault with NW-SE trend in the region. Comparison of all results shows that the detected faults by both methods are consistent with each other. Therefore, it can be conclusive that combination of the two methods is a useful and reliable approach to study and detect hidden faults. Keywords: Microtremor, Horizontal to vertical spectral ratio (HVSR), Electrical resistivity, Sediment thickness, Hidden faults
Fault detection using microtremor data (HVSR-based approach) and electrical resistivity survey
The faults and fractures are known as two of the most important parameters in earthquake occurrence. During the construction in urban areas, faults and fractures may be covered in depth and thus are not visible at the ground surface. In this context, non-invasive geophysical prospecting methods (microtremor and geoelectrical methods) and borehole data were used to detect subsurface geological structures (hidden faults) in a suburb of Shiraz in Iran. The horizontal to vertical spectral ratio (HVSR) method was used to obtain the dynamic parameters (predominant frequency and resonance amplitude) of the soil, to detect hidden faults. The results show that the abrupt changes in the sediment thickness and predominant frequencies at a specific direction (NW-SE) can be related to the displacement of a nearly vertical fault with NW-SE trend. In addition, the electrical resistivity method using continuous resistivity profiling (CRP) and Schlumberger arrays was employed to detect a hidden fault and the results were compared with previous data. The obtained results of both arrays illustrate the presence of a nearly vertical fault with NW-SE trend in the region. Comparison of all results shows that the detected faults by both methods are consistent with each other. Therefore, it can be conclusive that combination of the two methods is a useful and reliable approach to study and detect hidden faults. Keywords: Microtremor, Horizontal to vertical spectral ratio (HVSR), Electrical resistivity, Sediment thickness, Hidden faults
Fault detection using microtremor data (HVSR-based approach) and electrical resistivity survey
Marzieh Khalili (author) / Abdul Vahed Mirzakurdeh (author)
2019
Article (Journal)
Electronic Resource
Unknown
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