Submarine landslide source modeling using the 3D slope stability analysis method for the 2018 Palu, Sulawesi, tsunami
<p>Studies have indicated that submarine landslides played an important role in the 2018 Sulawesi tsunami event, damaging the coast of Palu Bay in addition to the earthquake source. Most of these studies relied on observed coastal subaerial landslides to reproduce tsunamis but could still not...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-03-01
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| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | https://nhess.copernicus.org/articles/22/891/2022/nhess-22-891-2022.pdf |
| _version_ | 1818290206860640256 |
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| author | C. Somphong A. Suppasri K. Pakoksung T. Nagasawa Y. Narita R. Tawatari S. Iwai Y. Mabuchi S. Fujita S. Moriguchi K. Terada C. Athanasius F. Imamura |
| author_facet | C. Somphong A. Suppasri K. Pakoksung T. Nagasawa Y. Narita R. Tawatari S. Iwai Y. Mabuchi S. Fujita S. Moriguchi K. Terada C. Athanasius F. Imamura |
| author_sort | C. Somphong |
| collection | DOAJ |
| description | <p>Studies have indicated that submarine landslides played
an important role in the 2018 Sulawesi tsunami event, damaging the coast of
Palu Bay in addition to the earthquake source. Most of these studies relied
on observed coastal subaerial landslides to reproduce tsunamis but could
still not fully explain the observational data. Recently, several numerical
models included hypothesized submarine landslides that were taken into
account to obtain a better explanation of the event. In this study, for the
first time, submarine landslides were simulated by applying a numerical
model based on Hovland's 3D slope stability analysis for cohesive–frictional
soils. To specify landslide volume and location, the model assumed an
elliptical slip surface on a vertical slope of 27 m of mesh-divided terrain
and evaluated the minimum safety factor in each mesh area based on the
surveyed soil property data extracted from the literature. The soil data
were assumed as seabed conditions. The landslide output was then substituted
into a two-layer numerical model based on a shallow-water equation to
simulate tsunami propagation. The tsunamis induced by the submarine
landslide that were modeled in this study were combined with the other
tsunami components, i.e., coseismal deformation and tsunamis induced by previous literature's observed subaerial coastal collapse, and validated with
various post-event field observational data, including tsunami run-up heights
and flow depths around the bay, the inundation area around Palu city,
waveforms recorded by the Pantoloan tide gauge, and video-inferred waveforms. The model generated several submarine landslides, with lengths of
0.2–2.0 km throughout Palu Bay. The results confirmed the existence of
submarine landslide sources in the southern part of the bay and showed
agreement with the observed tsunami data, including run-ups and flow depths.
Furthermore, the simulated landslides also reproduced the video-inferred
waveforms in three out of six locations. Although these calculated submarine
landslides still cannot fully explain some of the observed tsunami data,
they emphasize the possible submarine landslide locations in southern Palu
Bay that should be studied and surveyed in the future.</p> |
| first_indexed | 2024-12-13T02:24:30Z |
| format | Article |
| id | doaj.art-ca8a1d33d0924e9d9afd42ba179a5318 |
| institution | Directory Open Access Journal |
| issn | 1561-8633 1684-9981 |
| language | English |
| last_indexed | 2024-12-13T02:24:30Z |
| publishDate | 2022-03-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Natural Hazards and Earth System Sciences |
| spelling | doaj.art-ca8a1d33d0924e9d9afd42ba179a53182022-12-22T00:02:41ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812022-03-012289190710.5194/nhess-22-891-2022Submarine landslide source modeling using the 3D slope stability analysis method for the 2018 Palu, Sulawesi, tsunamiC. Somphong0A. Suppasri1K. Pakoksung2T. Nagasawa3Y. Narita4R. Tawatari5S. Iwai6Y. Mabuchi7S. Fujita8S. Moriguchi9K. Terada10C. Athanasius11F. Imamura12International Research Institute of Disaster Science, Tohoku University, Miyagi, 9800845, JapanInternational Research Institute of Disaster Science, Tohoku University, Miyagi, 9800845, JapanInternational Research Institute of Disaster Science, Tohoku University, Miyagi, 9800845, JapanLand Infrastructure Department, Tohoku Branch Office, Pacific Consultants Company Limited, Miyagi, 9800811, JapanLand Infrastructure Department, Tohoku Branch Office, Pacific Consultants Company Limited, Miyagi, 9800811, JapanLand Infrastructure Department, Tohoku Branch Office, Pacific Consultants Company Limited, Miyagi, 9800811, JapanLand Infrastructure Department, Tohoku Branch Office, Pacific Consultants Company Limited, Miyagi, 9800811, JapanLand Infrastructure Department, Tohoku Branch Office, Pacific Consultants Company Limited, Miyagi, 9800811, JapanGraduate School of Engineering, Tohoku University, Miyagi, 9808579, JapanInternational Research Institute of Disaster Science, Tohoku University, Miyagi, 9800845, JapanInternational Research Institute of Disaster Science, Tohoku University, Miyagi, 9800845, JapanCenter for Volcanology and Geological Hazard Mitigation, Geological Agency of Indonesia, Bundung, IndonesiaInternational Research Institute of Disaster Science, Tohoku University, Miyagi, 9800845, Japan<p>Studies have indicated that submarine landslides played an important role in the 2018 Sulawesi tsunami event, damaging the coast of Palu Bay in addition to the earthquake source. Most of these studies relied on observed coastal subaerial landslides to reproduce tsunamis but could still not fully explain the observational data. Recently, several numerical models included hypothesized submarine landslides that were taken into account to obtain a better explanation of the event. In this study, for the first time, submarine landslides were simulated by applying a numerical model based on Hovland's 3D slope stability analysis for cohesive–frictional soils. To specify landslide volume and location, the model assumed an elliptical slip surface on a vertical slope of 27 m of mesh-divided terrain and evaluated the minimum safety factor in each mesh area based on the surveyed soil property data extracted from the literature. The soil data were assumed as seabed conditions. The landslide output was then substituted into a two-layer numerical model based on a shallow-water equation to simulate tsunami propagation. The tsunamis induced by the submarine landslide that were modeled in this study were combined with the other tsunami components, i.e., coseismal deformation and tsunamis induced by previous literature's observed subaerial coastal collapse, and validated with various post-event field observational data, including tsunami run-up heights and flow depths around the bay, the inundation area around Palu city, waveforms recorded by the Pantoloan tide gauge, and video-inferred waveforms. The model generated several submarine landslides, with lengths of 0.2–2.0 km throughout Palu Bay. The results confirmed the existence of submarine landslide sources in the southern part of the bay and showed agreement with the observed tsunami data, including run-ups and flow depths. Furthermore, the simulated landslides also reproduced the video-inferred waveforms in three out of six locations. Although these calculated submarine landslides still cannot fully explain some of the observed tsunami data, they emphasize the possible submarine landslide locations in southern Palu Bay that should be studied and surveyed in the future.</p>https://nhess.copernicus.org/articles/22/891/2022/nhess-22-891-2022.pdf |
| spellingShingle | C. Somphong A. Suppasri K. Pakoksung T. Nagasawa Y. Narita R. Tawatari S. Iwai Y. Mabuchi S. Fujita S. Moriguchi K. Terada C. Athanasius F. Imamura Submarine landslide source modeling using the 3D slope stability analysis method for the 2018 Palu, Sulawesi, tsunami Natural Hazards and Earth System Sciences |
| title | Submarine landslide source modeling using the 3D slope stability analysis method for the 2018 Palu, Sulawesi, tsunami |
| title_full | Submarine landslide source modeling using the 3D slope stability analysis method for the 2018 Palu, Sulawesi, tsunami |
| title_fullStr | Submarine landslide source modeling using the 3D slope stability analysis method for the 2018 Palu, Sulawesi, tsunami |
| title_full_unstemmed | Submarine landslide source modeling using the 3D slope stability analysis method for the 2018 Palu, Sulawesi, tsunami |
| title_short | Submarine landslide source modeling using the 3D slope stability analysis method for the 2018 Palu, Sulawesi, tsunami |
| title_sort | submarine landslide source modeling using the 3d slope stability analysis method for the 2018 palu sulawesi tsunami |
| url | https://nhess.copernicus.org/articles/22/891/2022/nhess-22-891-2022.pdf |
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