zaenudin, ahmad and Rustadi, Rustadi (2021) Preliminary study of HVSR forward modeling: parameters properties and non-uniqueness of subsurface models. IOP Publishing.
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Plagiarism Checker Preliminary study of HVSR forward modeling (IOP conference series).pdf Download (339kB) | Preview |
Abstract
The application of horizontal to a vertical spectral ratio (HVSR) in Indonesia is often analyzed using theoretical equations that only focus on Vs. or the two rock layers' thickness. On the other hand, there are already HVSR modeling programs that involve other parameters such as VP, density, QP, and Qs for multiple layers. Armed with existing modeling, the effect of each parameter and test the possible non-uniqueness of HVSR modeling is found. In the end, the right inversion method to get satisfactory results is found. Modeling is done by calculating the wave amplification of the transfer function, the phenomenon of attenuation, and dispersion. A synthetic model will be made from the modeling scheme, which is approached with various possible parameters using a random test of 200000 models for each test. From the existing parameters, it is found that only the parameters Vs, thickness, and Qs affect the position f0. Meanwhile, the parameters VP, density, and QP only affect the amplitude of the curve. The parameters VP, Vs, density, and thickness have a consistent relationship between parameters, but not for QP and Qs. From the various tests carried out, it was found that many combinations can produce similar responses, both parameter combinations, and combinations of parameters with a different number of layers. Inversion modeling is needed to produce a precise subsurface model that can reduce the non-uniqueness results, such as optimization with a global approach, a statistical approach, or a hybrid inversion method
| Item Type: | Other |
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| Subjects: | Q Science > QE Geology |
| Divisions: | Fakultas Teknik (FT) > Prodi Teknik Geofisika |
| Depositing User: | RUSTADI |
| Date Deposited: | 01 Sep 2022 09:44 |
| Last Modified: | 01 Sep 2022 09:44 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/44604 |
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