TY - JOUR
T1 - The Stability and Collapse of Lava Domes
T2 - Insight From Photogrammetry and Slope Stability Models Applied to Sinabung Volcano (Indonesia)
AU - Carr, Brett B.
AU - Lev, Einat
AU - Vanderkluysen, Loÿc
AU - Moyer, Danielle
AU - Marliyani, Gayatri Indah
AU - Clarke, Amanda B.
N1 - Funding Information:
This work was supported by NSF EAR Postdoctoral Fellowship Award #1725768. EL acknowledges support from NSF EAR Award #1654588. LV and DM were supported by the 2017 Drexel University Antelo Devereux award. Field work in Indonesia was conducted under a memorandum of understanding between Arizona State University (Tempe, AZ, United States) and Universitas Gadjah Mada (Yogyakarta, Indonesia). The 2010 DEM was provided by the Badan Informasi Geospasial and the Center for Volcanology and Geological Hazard Management (CVGHM) in Indonesia. Christine Sealing and Emily Carey of Drexel University (Philadelphia, PA, United States) and Annisa Nurina Adani and Riski Budi Pratiwi of Universitas Gadjah Mada (Yogyakarta, Indonesia) assisted with data collection at Sinabung Volcano.
Funding Information:
This work was supported by NSF EAR Postdoctoral Fellowship Award #1725768. EL acknowledges support from NSF EAR Award #1654588. LV and DM were supported by the 2017 Drexel University Antelo Devereux award. Field work in Indonesia was conducted under a memorandum of understanding between Arizona State University (Tempe, AZ, United States) and Universitas Gadjah Mada (Yogyakarta, Indonesia). The 2010 DEM was provided by the Badan Informasi Geospasial and the Center for Volcanology and Geological Hazard Management (CVGHM) in Indonesia. Christine Sealing and Emily Carey of Drexel University (Philadelphia, PA, United States) and Annisa Nurina Adani and Riski Budi Pratiwi of Universitas Gadjah Mada (Yogyakarta, Indonesia) assisted with data collection at Sinabung Volcano.
Publisher Copyright:
Copyright © 2022 Carr, Lev, Vanderkluysen, Moyer, Marliyani and Clarke.
PY - 2022/5/27
Y1 - 2022/5/27
N2 - Lava domes form by the effusive eruption of high-viscosity lava and are inherently unstable and prone to collapse, representing a significant volcanic hazard. Many processes contribute to instability in lava domes and can generally be grouped into two categories: active and passive. Active collapses are driven directly by lava effusion. In contrast, passive collapses are not correlated with effusion rate, and thus represent a hazard that is more difficult to assess and forecast. We demonstrate a new workflow for assessing and forecasting passive dome collapse by examining a case study at Sinabung Volcano (North Sumatra, Indonesia). We captured visual images from the ground in 2014 and from unoccupied aerial systems (UAS) in 2018 and used structure-from-motion photogrammetry to generate digital elevation models (DEMs) of Sinabung’s evolving lava dome. By comparing our DEMs to a pre-eruption DEM, we estimate volume changes associated with the eruption. As of June 2018, the total erupted volume since the eruption began is 162 × 106 m3. Between 2014 and 2018, 10 × 106 m3 of material collapsed from the lava flow due to passive processes. We evaluate lava dome stability using the Scoops3D numerical model and the DEMs. We assess the passive collapse hazard and analyze the effect of lava material properties on dome stability. Scoops3D is able to hindcast the location and volume of passive collapses at Sinabung that occurred during 2014 and 2015, and we use the same material properties to demonstrate that significant portions of the erupted lava potentially remain unstable and prone to collapse as of late 2018, despite a pause in effusive activity earlier that year. This workflow offers a means of quantitatively assessing passive collapse hazards at active or recently active volcanoes.
AB - Lava domes form by the effusive eruption of high-viscosity lava and are inherently unstable and prone to collapse, representing a significant volcanic hazard. Many processes contribute to instability in lava domes and can generally be grouped into two categories: active and passive. Active collapses are driven directly by lava effusion. In contrast, passive collapses are not correlated with effusion rate, and thus represent a hazard that is more difficult to assess and forecast. We demonstrate a new workflow for assessing and forecasting passive dome collapse by examining a case study at Sinabung Volcano (North Sumatra, Indonesia). We captured visual images from the ground in 2014 and from unoccupied aerial systems (UAS) in 2018 and used structure-from-motion photogrammetry to generate digital elevation models (DEMs) of Sinabung’s evolving lava dome. By comparing our DEMs to a pre-eruption DEM, we estimate volume changes associated with the eruption. As of June 2018, the total erupted volume since the eruption began is 162 × 106 m3. Between 2014 and 2018, 10 × 106 m3 of material collapsed from the lava flow due to passive processes. We evaluate lava dome stability using the Scoops3D numerical model and the DEMs. We assess the passive collapse hazard and analyze the effect of lava material properties on dome stability. Scoops3D is able to hindcast the location and volume of passive collapses at Sinabung that occurred during 2014 and 2015, and we use the same material properties to demonstrate that significant portions of the erupted lava potentially remain unstable and prone to collapse as of late 2018, despite a pause in effusive activity earlier that year. This workflow offers a means of quantitatively assessing passive collapse hazards at active or recently active volcanoes.
KW - Sinabung volcano
KW - hazard assessment
KW - lava dome collapse
KW - lava domes
KW - structure-from-motion photogrammetry
KW - unoccupied aerial systems
UR - http://www.scopus.com/inward/record.url?scp=85132298504&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85132298504&partnerID=8YFLogxK
U2 - 10.3389/feart.2022.813813
DO - 10.3389/feart.2022.813813
M3 - Article
AN - SCOPUS:85132298504
SN - 2296-6463
VL - 10
JO - Frontiers in Earth Science
JF - Frontiers in Earth Science
M1 - 813813
ER -