Forward Modeling and Seismic Wave Inversion for Amplification Analysis in The Java Subduction Zone Using Python

Pradipta Kusuma Yudha, Agus Yulianto

Abstract


This study aims to analyze seismic wave propagation and amplification in the Java subduction zone using a numerical modeling approach. The method integrates forward modeling and seismic inversion within a two-dimensional finite difference framework to simulate wave behavior in heterogeneous subsurface conditions. Secondary data, including seismic velocity, density, and earthquake parameters, are used to construct the subsurface model. The results show that seismic wave propagation is strongly influenced by variations in subsurface properties. High amplification occurs in regions characterized by low shear-wave velocity and thick sediment layers. Quantitatively, amplification exceeds 2.0 in areas with shear-wave velocity below 2000 m/s, while regions with higher velocity (>3000 m/s) exhibit lower amplification values. The application of multi-parameter inversion improves the resolution of subsurface structures and enhances model accuracy. The spatial distribution of amplification identifies zones that are more susceptible to strong ground motion, confirming the dominant role of subsurface heterogeneity in controlling seismic response. This study provides a quantitative and dynamic framework for understanding seismic wave behavior and offers a robust basis for seismic hazard assessment and earthquake risk mitigation in the Java subduction zone 



Full Text:

PDF

References


S. Widiyantoro, E. Gunawan, A. Muhari, N. Rawlinson, J. Mori, and N. R. Hanifa, “Implications for megathrust earthquakes and tsunamis from seismic gaps south of Java Indonesia,” Sci. Rep., pp. 1–11, 2020, doi: 10.1038/s41598-020-72142-z.

P. Supendi et al., “On the potential for megathrust earthquakes and tsunamis off the southern coast of West Java and southeast Sumatra ,” Nat. Hazards, vol. 116, no. 1, pp. 1315–1328, 2023, doi: 10.1007/s11069-022-05696-y.

G. P. Hayes et al., “zone geometry model,” vol. 61, no. October, pp. 58–61, 2018.

F. Xie, Z. Wang, D. Zhao, R. Gao, and X. Chen, “Seismic imaging of the Java subduction zone: New insight into arc volcanism and seismogenesis,” Tectonophysics, vol. 854, no. July 2022, p. 229810, 2023, doi: 10.1016/j.tecto.2023.229810.

T. Xu, “Geophysical Journal International,” pp. 496–512, 2024.

C. Liang and H. Jianping, “stationary elastic solids,” Geophys. J. Int., vol. 240, pp. 2023–2041, 2025, doi: 10.1093/gji/ggaf020.

A. Cipta et al., “Seismic velocity structure of the Jakarta Basin, Indonesia, using trans-dimensional Bayesian inversion of horizontal-to-vertical spectral ratios,” Geophys. J. Int., vol. 215, no. 1, pp. 431–449, 2018, doi: 10.1093/gji/ggy289.

R. V. Ry, P. R. Cummins, B. Hejrani, and S. Widiyantoro, “3-D shallow shear velocity structure of the Jakarta Basin from transdimensional ambient noise tomography,” Geophys. J. Int., vol. 234, no. 3, pp. 1916–1932, 2023, doi: 10.1093/gji/ggad176.

K. Nakano and H. Kawase, “The spatial properties of the site amplifications of S ‑ waves by generalized spectral inversion technique and the correction method of the site amplifications considering the contribution of later arrivals after major S ‑ waves,” Earth, Planets Sp., 2023, doi: 10.1186/s40623-023-01800-z.

D. Stanko, “Site amplification model for Croatia estimated by random vibration theory-based site response analysis,” vol. 179, no. February, 2024, doi: 10.1016/j.soildyn.2024.108547.

E. Saygin et al., “Imaging architecture of the Jakarta Basin, Indonesia with transdimensional inversion of seismic noise,” Geophys. J. Int., vol. 204, no. 2, pp. 918–931, 2016, doi: 10.1093/gji/ggv466.

F. Muttaqy, A. D. Nugraha, J. Mori, N. T. Puspito, and P. Supendi, “Seismic Imaging of Lithospheric Structure Beneath Central-East Java Region , Indonesia : Relation to Recent Earthquakes,” vol. 10, no. January, pp. 1–15, 2022, doi: 10.3389/feart.2022.756806.

D. Wehner et al., “SASSY21: A 3-D Seismic Structural Model of the Lithosphere and Underlying Mantle Beneath Southeast Asia From Multi-Scale Adjoint Waveform Tomography,” J. Geophys. Res. Solid Earth, vol. 127, no. 3, pp. 1–25, 2022, doi: 10.1029/2021JB022930.

U. Ulfa, R. Fitrianingtyas, and Y. N. Maharani, “Identifikasi Struktur Kerak di Bawah Permukaan Jawa Timur Berdasarkan Hasil Tomografi Seismik Menggunakan Model Kecepatan Gelombang P dan Gelombang S,” vol. 11, no. 02, pp. 107–116, 2023.

C. Totaro, M. Aloisi, C. Ferlito, B. Orecchio, D. Presti, and S. Scolaro, “3D seismic velocity models from local earthquake tomography furnish new insights on the Mount Etna volcano ( Southern Italy ),” pp. 1–13, 2024.

C. Hao, Z. Gu, and K. Li, “applied sciences Numerical Simulation of Seismic-Wave Propagation in Specific Layered Geological Structures,” 2024.

C. Lyu, “Introduction to the Distributional Finite Difference Method for 3D Seismic Wave Propagation and Comparison With the Spectral Element Method,” 2024, doi: 10.1029/2023JB027576.

I. Ali, “Multimodal data driven deep learning based seismic impedance inversion optimization,” pp. 1–26, 2025, doi: 10.1371/journal.pone.0331952.

Y. Bashir et al., “Cohesive approach for determining porosity and P ‑ impedance in carbonate rocks using seismic attributes and inversion analysis,” J. Pet. Explor. Prod. Technol., vol. 14, no. 5, pp. 1173–1187, 2024, doi: 10.1007/s13202-024-01767-x.

D. Feng, B. Li, C. Cao, X. Wang, D. Li, and C. Chen, “Multi-Constrained Seismic Multi-Parameter Full Waveform Inversion Based on Projected Quasi-Newton Algorithm,” 2023.

A. Abdullah, P. Tamado, E. Setyaningrum, M. Dwi, and A. Fakhri, “Bedrock Identification using 2D Seismic Tomography Model on GMSH Software and Pyhton in Peyek Mountain Area, Ciseeng, Bogor, West Java,” Lembaran Publ. Miny. dan Gas Bumi, vol. 53, no. 3, pp. 151–160, 2019.

Ipi, A. D. A. T. Safitri, Y. Febrani, Megiyo, and W. B. Kurniawan, “Jurnal Riset Fisika Indonesia,” J. Ris. Fis. Indones., vol. 2, no. 2, pp. 26–30, 2022.

H. Mar and D. A. Suaidi, “Forward Modelling pada Medium Bumi Berlapis dengan Algoritma Seismic Ray Tracing Berbasis MATLAB,” vol. 0634, no. xxx, 2022, doi: 10.17977/um067vXiXpXXX-XXX.

L. Wang and X. He, “Seismic Anisotropy in the Java-Banda and Philippine Subduction Zones and its Implications for the Mantle Flow System Beneath the Sunda Plate,” Geochemistry, Geophys. Geosystems, vol. 21, no. 4, pp. 1–19, 2020, doi: 10.1029/2019GC008658.

S. N. Hudha, U. Harmoko, S. Widada, D. H. Yusuf, G. Yulianto, and Sahid, “Penentuan Struktur Bawah Permukaan dengan Menggunakan Metode Seismik Refraksi di Lapangan Panas Bumi Diwak dan Derekan, Kecamatan Bergas, Kabupaten Semarang,” Youngster Phys. J., vol. 3, no. 3, pp. 263–268, 2014.

G. K. Wenner, “Interpretasi struktur bawah permukaan panas bumi daerah mata air panas kaliulo dengan metode geolistrik konfigurasi wenner,” pp. 177–189, 2016.

R. Priadi, M. Arsyad, and A. Susanto, “Evaluasi Kerentanan Seismik Wilayah Kota Mamuju Pasca Gempa Bumi 15 Agustus 2021 Menggunakan Data Mikrotremor,” vol. 13, no. 1, pp. 75–81, 2024.

D. M. Jannah, S. Khoirunnisa, H. Rosyida, and F. E. Christalianingsih, “ANALISIS INDEKS KERENTANAN SEISMIK BERDASARKAN NILAI v s30 PADA ZONA TERDAMPAK GEMPA BUMI ( Studi Kasus : Gempa Cianjur 21 November 2022 ) ANALYSIS OF SEISMIC VULNERABILITY INDEX BASED ON VS30 VALUES IN EARTHQUAKE-AFFECTED ZONES,” vol. 9, no. 2, pp. 107–116, 2024, doi: 10.33579/krvtk.v9i2.4972.




DOI: https://doi.org/10.24198/jiif.v10i2.70212

Refbacks

  • There are currently no refbacks.


Journal Indexed By:
Visit Statistics: