Spatiotemporal Analysis of B-Value at Mount Slamet (2014–2023)

Ika Maulita, Sugito Sugito, Lusia Silfia Pulo Boli

Abstract


This study investigates the spatial and temporal distribution of b-values at Mount Slamet, one of Indonesia’s most active volcanoes, during its eruption activities from 2014 to 2023. The primary objective is to explore how variations in b-values correlate with stress conditions and volcanic activity, providing insights into eruption forecasting. Seismic data were sourced from USGS, BMKG, and local networks and analyzed using ZMAP and MATLAB to calculate b-values, assess magnitude completeness, and perform spatial and temporal analyses. Results reveal notable spatial variability: higher b-values in the northern and northeastern regions indicate lower stress levels, while lower b-values in the southwestern region suggest elevated stress concentrations. These spatial patterns align with geological features, highlighting zones of intense tectonic and magmatic interactions. Temporally, b-values consistently declined before major eruptions in 2017 and 2020, reflecting increased stress and larger seismic events. Post-eruption, b-values rose, indicating stress reduction and stabilization of the volcanic system. These findings underscore the value of b-value monitoring as an effective tool for eruption forecasting. The observed spatial and temporal trends offer critical insights into Mount Slamet’s evolving stress conditions, aiding disaster preparedness and risk mitigation strategies for local communities. The study highlights the importance of continuous seismic monitoring combined with advanced analytical techniques to enhance the predictive capabilities of volcanic hazard assessments. Future research should integrate additional geophysical parameters, refine predictive models, and extend analyses to similar volcanic settings to improve global understanding of volcanic processes and enhance early warning systems.


Keywords


Mount Slamet; b-value analysis; seismicity; volcanic eruption forecasting: spatial and temporal distribution

Full Text:

PDF

References


Ardid, A., Dempsey, D., Caudron, C., & Cronin, S. J. (2022). Seismic Precursors to the Whakaari 2019 Phreatic Eruption Are Transferable to Other Eruptions and Volcanoes. Nature Communications, 13(1). https://doi.org/10.1038/s41467-022-29681-y

Feuillet, N., Cocco, M., Musumeci, C., & Nostro, C. (2006). Stress Interaction Between Seismic and Volcanic Activity at Mt Etna. Geophysical Journal International, 164(3), 697–718. https://doi.org/10.1111/j.1365-246x.2005.02824.x

Harijoko, A., Milla, A. N., Wibowo, H. E., & Setiawan, N. I. (2020). Magma Evolution of Slamet Volcano, Central Java, Indonesia Based on Lava Characteristic. Iop Conference Series Earth and Environmental Science, 451(1), 012092. https://doi.org/10.1088/1755-1315/451/1/012092

Lally, K. F., Caplan‐Auerbach, J., & Power, J. A. (2023). Volcanic and Tectonic Sources of Seismicity Near the Tanaga Volcanic Cluster, Alaska. Geochemistry Geophysics Geosystems, 24(6). https://doi.org/10.1029/2023gc010891

Maulita, I., Prasetyaningsih, N. R., Pratiwi, U., & Azimi, A. (2024). ANALISIS SECOND VERTICAL DERIVATIVE DATA GRAVITASI UNTUK MENGINTERPRETASIKAN STRUKTUR BAWAH PERMUKAAN DAERAH LEMBANG. Jurnal Ilmu Fisika Dan Terapannya, 11(2), Article 2. https://doi.org/10.21831/fisika

Maulita, I., & Wahid, A. (2024). Prediksi Magnitudo Gempa Menggunakan Random Forest, Support Vector Regression, XGBoost, LightGBM, dan Multi-Layer Perceptron Berdasarkan Data Kedalaman dan Geolokasi (Predicting Earthquake Magnitude Using Random Forest, Support Vector Regression, XGBoost, LightGBM, and Multi-Layer Perceptron Based on Depth and Geolocation Data). Jurnal Pendidikan Dan Teknologi Indonesia, 4, 221–232. https://doi.org/10.52436/1.jpti.470

Rey‐Devesa, P. (2023). Volcanic Early Warning Using Shannon Entropy: Multiple Cases of Study. Journal of Geophysical Research Solid Earth, 128(6). https://doi.org/10.1029/2023jb026684

Rey-Devesa, P. (2024). Universal Machine Learning Approach to Volcanic Eruption Forecasting Using Seismic Features. Frontiers in Earth Science, 12. https://doi.org/10.3389/feart.2024.1342468

Roberts, N., Bell, A. F., & Main, I. (2015). Are Volcanic Seismic B -Values High, and if So When? Journal of Volcanology and Geothermal Research, 308, 127–141. https://doi.org/10.1016/j.jvolgeores.2015.10.021

Sehah, S., Prabowo, U. N., Raharjo, S. A., & Ikhwana, A. Z. (2022). Physical Modeling of Magma Chamber of Slamet Volcano by Means of Satellite Gravimetric Data. Communications in Science and Technology, 7(2), 160–167. https://doi.org/10.21924/cst.7.2.2022.1001

Setyawan, A., Triahadini, A., Yuliananto, Y., Aribowo, Y., & Widiarso, D. A. (2016). Subsurface Structure and Fluid Flow Analysis Using Geophysical Methods in the Geothermal Manifestation Area of Paguyangan, Brebes, Central Java. International Journal of Renewable Energy Development, 5(3), 171–177. https://doi.org/10.14710/ijred.5.3.171-177

SutawIdjaja, I. (2009). Cinder Cones of Mount Slamet, Central Java, Indonesia. Indonesian Journal on Geoscience. https://doi.org/10.17014/ijog.vol4no1.20096

Tarasewicz, J., Brandsdóttír, B., White, R. S., Hensch, M., & Þorbjarnardóttir, B. S. (2012). Using Microearthquakes to Track Repeated Magma Intrusions Beneath the Eyjafjallajökull Stratovolcano, Iceland. Journal of Geophysical Research Atmospheres, 117(B9). https://doi.org/10.1029/2011jb008751

Terakawa, T., Kato, A., Yamanaka, Y., Maeda, Y., Horikawa, S., Matsuhiro, K., & Okuda, T. (2016). Monitoring Eruption Activity Using Temporal Stress Changes at Mount Ontake Volcano. Nature Communications, 7(1). https://doi.org/10.1038/ncomms10797

Wiemer, S., & McNutt, S. (1997). Variations in the Frequency-Magnitude Distribution with Depth in Two Volcanic Areas: Mount St. Helens, Washington, and Mt. Spurr, Alaska. Geophysical Research Letters, 24(2), 189–192. https://doi.org/10.1029/96GL03779

Yukutake, Y., Kim, A., & Ohminato, T. (2023). Estimation of Volcanic Earthquakes at Kirishima Volcano Using Machine Learning. https://doi.org/10.22541/essoar.168056823.39656162/v1

Zuccarello, L., Angelis, S. D., Minio, V., Saccorotti, G., Bean, C. J., Paratore, M., & Ibáñez, J. M. (2022). Volcanic Tremor Tracks Changes in Multi‐Vent Activity at Mt. Etna, Italy: Evidence From Analyses of Seismic Array Data. Geophysical Research Letters, 49(22). https://doi.org/10.1029/2022gl100056

Zufar, B. N. F., & Azami, A. F. (2021). Is Geothermal Power Plant (PLTP) on Mount Slamet Necessary? Indonesian Journal of Innovation and Applied Sciences (Ijias), 1(1), 12–18. https://doi.org/10.47540/ijias.v1i1.161




DOI: http://dx.doi.org/10.20527/flux.v21i3.20718

Article Metrics

Abstract view : 81 times
PDF - 33 times

Refbacks

  • There are currently no refbacks.


Copyright (c) 2025 Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat

Creative Commons License
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

Association with:

Physical Society of Indonesia

Indexed by:

 

Creative Commons License
Jurnal Fisika FLux: Jurnal Ilmiah FMIPA Universitas Lambung Mangkurat is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.