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

Büyük, Ersin; Zor, Ekrem; Tapırdamaz, Mustafa Cengiz

doi:10.5194/npg-33-267-2026

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.

https://doi.org/10.5194/npg-33-267-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 33, issue 2

Research article

|

02 Jun 2026

Research article |

| 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

Ersin Büyük, Ekrem Zor, and Mustafa Cengiz Tapırdamaz

Supplement

https://doi.org/10.5194/npg-33-267-2026-supplement

Data sets

Magnetotelluric and Rayleigh Wave Dispersion data from Southeastern part of the Biga Peninsula Ersin Büyük https://doi.org/10.5281/zenodo.20054443

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.