Articles | Volume 33, issue 2
https://doi.org/10.5194/npg-33-267-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-33-267-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Jun 2026
Research article |
| 02 Jun 2026
| 02 Jun 2026
Structural joint modeling of magnetotelluric data and Rayleigh wave dispersion curves using Pareto-based particle swarm optimization: an example to delineate the crustal structure of the southeastern part of the Biga Peninsula in western Anatolia
Department of Geophysical Engineering, Gümüşhane University, 29100 Gümüşhane, Türkiye
TÜBİTAK Marmara Research Center, Earth Sciences Research Group, 41470 Kocaeli, Türkiye
Ekrem Zor
TÜBİTAK Marmara Research Center, Earth Sciences Research Group, 41470 Kocaeli, Türkiye
Mustafa Cengiz Tapırdamaz
TÜBİTAK Marmara Research Center, Earth Sciences Research Group, 41470 Kocaeli, Türkiye
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Short summary
We introduce a Pareto-based multi-objective particle swarm optimization framework for joint modeling of magnetotelluric and Rayleigh wave dispersion data from the southeastern Biga Peninsula. The approach uses a shared structural parameterization without enforcing a fixed petrophysical link between resistivity and velocity. The study shows that magnetotelluric data are more affected by model trade-offs, whereas Rayleigh wave dispersion is more sensitive in data space.
We introduce a Pareto-based multi-objective particle swarm optimization framework for joint...
