A Joint Seismic and Space Geodetic Investigation of the 2016 Lamplugh Glacier and 2017 Wrangell Mountains (Alaska) Landslides
Landslides commonly occur in areas with steep topography and abundant precipitation, and can pose a significant hazard to local communities. Some of the largest known landslides occurred in Alaska, including several that caused local tsunamis. Many more landslides may have gone undetected in remote...
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ftcdlib:oai:escholarship.org:ark:/13030/qt8gv4x8p5 2023-10-09T21:51:43+02:00 A Joint Seismic and Space Geodetic Investigation of the 2016 Lamplugh Glacier and 2017 Wrangell Mountains (Alaska) Landslides Luo, Xinyu Fan, Wenyuan 2022-01-01 application/pdf https://escholarship.org/uc/item/8gv4x8p5 en eng eScholarship, University of California qt8gv4x8p5 https://escholarship.org/uc/item/8gv4x8p5 public Geophysics Remote sensing Geology Landslide Detection Landslide Dynamics etd 2022 ftcdlib 2023-09-18T18:02:53Z Landslides commonly occur in areas with steep topography and abundant precipitation, and can pose a significant hazard to local communities. Some of the largest known landslides occurred in Alaska, including several that caused local tsunamis. Many more landslides may have gone undetected in remote unpopulated areas due to lack of observations. In this study, we develop an integrated procedure based on seismic and geodetic observations to detect, locate, validate, and characterize landslides in Alaska. Seismic observations have shown promise in continuously monitoring landslide occurrence, while remote sensing techniques are well suited for verification and high-resolution imaging of the detected landslides. We validate our procedure using data from the previously detected June 28, 2016, Lamplugh Glacier landslide. We also present observations of a previously unknown landslide that occurred on September 22, 2017 in the Wrangell Mountains region. The Wrangell Mountains landslide generated a coherent surface wavefield recorded across Alaska and the contiguous US. We used Sentinel-1 Synthetic Aperture Radar and Sentinel-2 optical imagery to map the respective mass deposit. To investigate the landslide dynamics, we inverted regional seismic surface wave data for a centroid single force failure model. Our model suggests that the Wrangell Mountains landslide lasted for about 140~s and had two subevents involving at least five distinct episodes. We estimate that the landslide had displaced 3.1--13.4~million tons of rocks over a distance of 2 km. Our results suggest that combining seismic and geodetic observations can vastly improve the detection and characterization of landslides in remote areas in Alaska and elsewhere, and providing new insights into the landslide dynamics. Thesis glacier Alaska University of California: eScholarship Lamplugh ENVELOPE(-61.235,-61.235,-71.356,-71.356) |
institution |
Open Polar |
collection |
University of California: eScholarship |
op_collection_id |
ftcdlib |
language |
English |
topic |
Geophysics Remote sensing Geology Landslide Detection Landslide Dynamics |
spellingShingle |
Geophysics Remote sensing Geology Landslide Detection Landslide Dynamics Luo, Xinyu A Joint Seismic and Space Geodetic Investigation of the 2016 Lamplugh Glacier and 2017 Wrangell Mountains (Alaska) Landslides |
topic_facet |
Geophysics Remote sensing Geology Landslide Detection Landslide Dynamics |
description |
Landslides commonly occur in areas with steep topography and abundant precipitation, and can pose a significant hazard to local communities. Some of the largest known landslides occurred in Alaska, including several that caused local tsunamis. Many more landslides may have gone undetected in remote unpopulated areas due to lack of observations. In this study, we develop an integrated procedure based on seismic and geodetic observations to detect, locate, validate, and characterize landslides in Alaska. Seismic observations have shown promise in continuously monitoring landslide occurrence, while remote sensing techniques are well suited for verification and high-resolution imaging of the detected landslides. We validate our procedure using data from the previously detected June 28, 2016, Lamplugh Glacier landslide. We also present observations of a previously unknown landslide that occurred on September 22, 2017 in the Wrangell Mountains region. The Wrangell Mountains landslide generated a coherent surface wavefield recorded across Alaska and the contiguous US. We used Sentinel-1 Synthetic Aperture Radar and Sentinel-2 optical imagery to map the respective mass deposit. To investigate the landslide dynamics, we inverted regional seismic surface wave data for a centroid single force failure model. Our model suggests that the Wrangell Mountains landslide lasted for about 140~s and had two subevents involving at least five distinct episodes. We estimate that the landslide had displaced 3.1--13.4~million tons of rocks over a distance of 2 km. Our results suggest that combining seismic and geodetic observations can vastly improve the detection and characterization of landslides in remote areas in Alaska and elsewhere, and providing new insights into the landslide dynamics. |
author2 |
Fan, Wenyuan |
format |
Thesis |
author |
Luo, Xinyu |
author_facet |
Luo, Xinyu |
author_sort |
Luo, Xinyu |
title |
A Joint Seismic and Space Geodetic Investigation of the 2016 Lamplugh Glacier and 2017 Wrangell Mountains (Alaska) Landslides |
title_short |
A Joint Seismic and Space Geodetic Investigation of the 2016 Lamplugh Glacier and 2017 Wrangell Mountains (Alaska) Landslides |
title_full |
A Joint Seismic and Space Geodetic Investigation of the 2016 Lamplugh Glacier and 2017 Wrangell Mountains (Alaska) Landslides |
title_fullStr |
A Joint Seismic and Space Geodetic Investigation of the 2016 Lamplugh Glacier and 2017 Wrangell Mountains (Alaska) Landslides |
title_full_unstemmed |
A Joint Seismic and Space Geodetic Investigation of the 2016 Lamplugh Glacier and 2017 Wrangell Mountains (Alaska) Landslides |
title_sort |
joint seismic and space geodetic investigation of the 2016 lamplugh glacier and 2017 wrangell mountains (alaska) landslides |
publisher |
eScholarship, University of California |
publishDate |
2022 |
url |
https://escholarship.org/uc/item/8gv4x8p5 |
long_lat |
ENVELOPE(-61.235,-61.235,-71.356,-71.356) |
geographic |
Lamplugh |
geographic_facet |
Lamplugh |
genre |
glacier Alaska |
genre_facet |
glacier Alaska |
op_relation |
qt8gv4x8p5 https://escholarship.org/uc/item/8gv4x8p5 |
op_rights |
public |
_version_ |
1779314835837681664 |