
Supplementary Materials for: Forecasting future instability hazards at Anak Krakatau volcano, Indonesia, using archival reconstructions of edifice evolution Volcanic lateral collapses represent major hazards through associated eruptive activity, landslide inundation and, in island or coastal settings, the generation of tsunamis. Forecasting the timing, precursory indicators, and magnitude of lateral collapses still remains a significant gap in volcanic risk management, a challenge exemplified by the 2018 lateral collapse of Anak Krakatau, Indonesia. The volcano’s southwestern flank collapsed without recognised warning, resulting in a devastating tsunami which inundated > 300 km of regional shorelines. Since then, the edifice has rapidly regrown, prompting a necessary assessment of its future stability. Here we analyse Anak Krakatau’s uniquely detailed archival growth records, in combination with satellite and drone datasets, to reconstruct historical edifice development from 1919 to 2023, using this to then project and contextualise its future growth trajectories and assess potential instability conditions. Our time series of 3D models reveals that post-collapse regrowth has mimicked historical development trends, but on a considerably accelerated timescale. If future growth follows the long-term pre-collapse (1960–2018) average, then a subaerial edifice morphology equivalent to 2018, but with larger overall dimensions, would be met by around the year 2100. If future development maintains the much higher 2019–2023 growth trends, then a morphology comparable to 2018 could instead be reached by the 2030s. We consider the continuation of such high growth rates unlikely, but this highlights the importance of monitoring edifice growth and flank instability signals over the coming decades, following the methodology provided here. Additionally, the submarine SW flank now has a considerably reduced gradient relative to 2018, which is likely to promote stability further into the future. To comprehensively assess future stability, the role of alteration, hydrothermal activity and the structure of the submarine flank should also be evaluated. Second Language Abstract (Indonesian) Runtuhan lateral gunung api merupakan bahaya besar yang dapat memicu aktivitas erupsi, tanah longsor, serta—khususnya pada lingkungan pulau atau pesisir—pembentukan tsunami. Namun, kemampuan untuk memprediksi waktu kejadian, indikator pendahulu, dan besarnya runtuhan masih menjadi tantangan utama dalam manajemen risiko vulkanik. Hal ini ditunjukkan oleh peristiwa runtuhan Gunung Anak Krakatau pada tahun 2018 di Indonesia. Lereng barat daya gunung tersebut runtuh tanpa adanya peringatan dini yang teridentifikasi, sehingga memicu tsunami yang menghancurkan dan menggenangi lebih dari 300 km garis pantai di wilayah sekitarnya. Setelah kejadian tersebut, tubuh gunung api telah mengalami pertumbuhan kembali dengan cepat, sehingga diperlukan evaluasi terhadap stabilitasnya di masa depan. Dalam penelitian ini, kami menganalisis catatan arsip pertumbuhan Anak Krakatau yang sangat rinci, dikombinasikan dengan data satelit dan drone, untuk merekonstruksi perkembangan morfologi tubuh gunung api selama periode 1919–2023. Rekonstruksi kemudian digunakan untuk memproyeksikan pertumbuhan di masa depan serta menilai potensi ketidakstabilannya. Rekonstruksi model 3D secara temporal yang dihasilkan menunjukkan pertumbuhan kembali pasca-runtuhan 2018 mengikuti pola perkembangan historis, namun terjadi pada skala waktu yang lebih cepat. Apabila pertumbuhan mengikuti rata-rata pertumbuhan sebelum runtuhan. Any questions, please email: kxm574@student.bham.ac.uk
Eruption forecasting, Tsunami, Lateral collapse, Digital Elevation Model, Volcanic landslides, Volcanic edifice growth, Anak Krakatau, Historical volcanology
Eruption forecasting, Tsunami, Lateral collapse, Digital Elevation Model, Volcanic landslides, Volcanic edifice growth, Anak Krakatau, Historical volcanology
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
