Characterization of landslide displacements in an active fault zone in Northwest China

Landslides can be caused by natural forcing and anthropogenic activities. Zhouqu County (China) on the eastern margin of Qinghai‐Tibet Plateau is set within the active Pingding‐Huama fault zone with evident fractures on the land surface. Frequent landslides and debris flows have occurred in this reg...

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Veröffentlicht in:Earth surface processes and landforms 2023-08, Vol.48 (10), p.1926-1939
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description Landslides can be caused by natural forcing and anthropogenic activities. Zhouqu County (China) on the eastern margin of Qinghai‐Tibet Plateau is set within the active Pingding‐Huama fault zone with evident fractures on the land surface. Frequent landslides and debris flows have occurred in this region due to river erosion, rainfall and deforestation. Here we quantified the slope movements using time‐series synthetic aperture radar interferometry (InSAR) based on the ascending and descending Sentinel‐1 satellite images acquired between October 2014 and August 2020. We observed distinct displacements in the highly fractured fault zone. The eastward and vertical displacement time series between February 2017 and July 2020 were constrained by the common‐day ascending and descending acquisitions. The eastward rates (461 mm/year) were greater than those in the vertical direction (−185 mm/year). We also note displacement discontinuities across the thrust faults beneath the Suoertou and Zhongpai landslides. Seasonal variations in the displacement time series suggest that the cyclic rainfall is the primary driver for the mass wasting processes rather than the tectonic loading. As a complement to in situ observations, our results demonstrate that InSAR is an effective tool to characterize the spatio‐temporal nature of landslide displacements in complicated geological environments. Plain Language Summary Zhouqu County in the Pingding‐Huama fault zone in the eastern margin of Qinghai‐Tibet Plateau is identified as a high priority site to research on clusters of landslides and debris flows in a mixed geodynamic setting of active tectonics, seasonal rainfall, river erosion and anthropogenic activities. However, our knowledge about landslide kinematics in this complicated region is still limited. We relied on remote sensing images from one ascending and one descending Sentinel‐1 satellite tracks to constrain the spatial–temporal displacement dynamics of active landslides from 2014 to 2020. The spatial patterns of displacements are determined by thrust faulting, river erosion, and anthropogenic activities. The temporal variations of landslide speed are mainly controlled by the seasonal rainfall rather than the tectonic loading. Landslide kinematics in Pingding‐Huama fault zone in China are resolved by Sentinel‐1 satellite images during 2014–2020. The 2D displacement time series are constrained by the common‐day ascending and descending InSAR measurements. Spatially, some
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Zhouqu County (China) on the eastern margin of Qinghai‐Tibet Plateau is set within the active Pingding‐Huama fault zone with evident fractures on the land surface. Frequent landslides and debris flows have occurred in this region due to river erosion, rainfall and deforestation. Here we quantified the slope movements using time‐series synthetic aperture radar interferometry (InSAR) based on the ascending and descending Sentinel‐1 satellite images acquired between October 2014 and August 2020. We observed distinct displacements in the highly fractured fault zone. The eastward and vertical displacement time series between February 2017 and July 2020 were constrained by the common‐day ascending and descending acquisitions. The eastward rates (461 mm/year) were greater than those in the vertical direction (−185 mm/year). We also note displacement discontinuities across the thrust faults beneath the Suoertou and Zhongpai landslides. Seasonal variations in the displacement time series suggest that the cyclic rainfall is the primary driver for the mass wasting processes rather than the tectonic loading. As a complement to in situ observations, our results demonstrate that InSAR is an effective tool to characterize the spatio‐temporal nature of landslide displacements in complicated geological environments. Plain Language Summary Zhouqu County in the Pingding‐Huama fault zone in the eastern margin of Qinghai‐Tibet Plateau is identified as a high priority site to research on clusters of landslides and debris flows in a mixed geodynamic setting of active tectonics, seasonal rainfall, river erosion and anthropogenic activities. However, our knowledge about landslide kinematics in this complicated region is still limited. We relied on remote sensing images from one ascending and one descending Sentinel‐1 satellite tracks to constrain the spatial–temporal displacement dynamics of active landslides from 2014 to 2020. The spatial patterns of displacements are determined by thrust faulting, river erosion, and anthropogenic activities. The temporal variations of landslide speed are mainly controlled by the seasonal rainfall rather than the tectonic loading. Landslide kinematics in Pingding‐Huama fault zone in China are resolved by Sentinel‐1 satellite images during 2014–2020. The 2D displacement time series are constrained by the common‐day ascending and descending InSAR measurements. 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Zhouqu County (China) on the eastern margin of Qinghai‐Tibet Plateau is set within the active Pingding‐Huama fault zone with evident fractures on the land surface. Frequent landslides and debris flows have occurred in this region due to river erosion, rainfall and deforestation. Here we quantified the slope movements using time‐series synthetic aperture radar interferometry (InSAR) based on the ascending and descending Sentinel‐1 satellite images acquired between October 2014 and August 2020. We observed distinct displacements in the highly fractured fault zone. The eastward and vertical displacement time series between February 2017 and July 2020 were constrained by the common‐day ascending and descending acquisitions. The eastward rates (461 mm/year) were greater than those in the vertical direction (−185 mm/year). We also note displacement discontinuities across the thrust faults beneath the Suoertou and Zhongpai landslides. Seasonal variations in the displacement time series suggest that the cyclic rainfall is the primary driver for the mass wasting processes rather than the tectonic loading. As a complement to in situ observations, our results demonstrate that InSAR is an effective tool to characterize the spatio‐temporal nature of landslide displacements in complicated geological environments. Plain Language Summary Zhouqu County in the Pingding‐Huama fault zone in the eastern margin of Qinghai‐Tibet Plateau is identified as a high priority site to research on clusters of landslides and debris flows in a mixed geodynamic setting of active tectonics, seasonal rainfall, river erosion and anthropogenic activities. However, our knowledge about landslide kinematics in this complicated region is still limited. We relied on remote sensing images from one ascending and one descending Sentinel‐1 satellite tracks to constrain the spatial–temporal displacement dynamics of active landslides from 2014 to 2020. The spatial patterns of displacements are determined by thrust faulting, river erosion, and anthropogenic activities. The temporal variations of landslide speed are mainly controlled by the seasonal rainfall rather than the tectonic loading. Landslide kinematics in Pingding‐Huama fault zone in China are resolved by Sentinel‐1 satellite images during 2014–2020. The 2D displacement time series are constrained by the common‐day ascending and descending InSAR measurements. 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Hu, Xie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3164-93c5277e5ae4835ba41935420f7f5318713d7fd7a053c00db82785391d5b89313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Anthropogenic factors</topic><topic>Debris flow</topic><topic>Deforestation</topic><topic>displacements</topic><topic>Fault lines</topic><topic>Fault zones</topic><topic>Fractures</topic><topic>Geological faults</topic><topic>Image acquisition</topic><topic>InSAR</topic><topic>Interferometric synthetic aperture radar</topic><topic>Interferometry</topic><topic>Kinematics</topic><topic>Landslides</topic><topic>Landslides &amp; mudslides</topic><topic>Mass wasting</topic><topic>Pingding‐Huama fault</topic><topic>Precipitation</topic><topic>Rainfall</topic><topic>rainfall‐driven landslides</topic><topic>Remote sensing</topic><topic>River erosion</topic><topic>Rivers</topic><topic>SAR (radar)</topic><topic>Satellite imagery</topic><topic>Seasonal rainfall</topic><topic>Seasonal variation</topic><topic>Seasonal variations</topic><topic>slow‐moving landslides</topic><topic>Synthetic aperture radar</topic><topic>Synthetic aperture radar interferometry</topic><topic>Tectonics</topic><topic>Temporal variations</topic><topic>Thrust</topic><topic>Thrust faults</topic><topic>Time series</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shi, Xuguo</creatorcontrib><creatorcontrib>Hu, Xie</creatorcontrib><collection>CrossRef</collection><collection>Meteorological &amp; 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Zhouqu County (China) on the eastern margin of Qinghai‐Tibet Plateau is set within the active Pingding‐Huama fault zone with evident fractures on the land surface. Frequent landslides and debris flows have occurred in this region due to river erosion, rainfall and deforestation. Here we quantified the slope movements using time‐series synthetic aperture radar interferometry (InSAR) based on the ascending and descending Sentinel‐1 satellite images acquired between October 2014 and August 2020. We observed distinct displacements in the highly fractured fault zone. The eastward and vertical displacement time series between February 2017 and July 2020 were constrained by the common‐day ascending and descending acquisitions. The eastward rates (461 mm/year) were greater than those in the vertical direction (−185 mm/year). We also note displacement discontinuities across the thrust faults beneath the Suoertou and Zhongpai landslides. Seasonal variations in the displacement time series suggest that the cyclic rainfall is the primary driver for the mass wasting processes rather than the tectonic loading. As a complement to in situ observations, our results demonstrate that InSAR is an effective tool to characterize the spatio‐temporal nature of landslide displacements in complicated geological environments. Plain Language Summary Zhouqu County in the Pingding‐Huama fault zone in the eastern margin of Qinghai‐Tibet Plateau is identified as a high priority site to research on clusters of landslides and debris flows in a mixed geodynamic setting of active tectonics, seasonal rainfall, river erosion and anthropogenic activities. However, our knowledge about landslide kinematics in this complicated region is still limited. We relied on remote sensing images from one ascending and one descending Sentinel‐1 satellite tracks to constrain the spatial–temporal displacement dynamics of active landslides from 2014 to 2020. The spatial patterns of displacements are determined by thrust faulting, river erosion, and anthropogenic activities. The temporal variations of landslide speed are mainly controlled by the seasonal rainfall rather than the tectonic loading. Landslide kinematics in Pingding‐Huama fault zone in China are resolved by Sentinel‐1 satellite images during 2014–2020. The 2D displacement time series are constrained by the common‐day ascending and descending InSAR measurements. Spatially, some landslides are overlapped with or bound the active faults; temporally, seasonal rainfall regulates the landslide speed.</abstract><cop>Bognor Regis</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/esp.5594</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-2815-7897</orcidid><orcidid>https://orcid.org/0000-0002-6744-7291</orcidid></addata></record>
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subjects Anthropogenic factors
Debris flow
Deforestation
displacements
Fault lines
Fault zones
Fractures
Geological faults
Image acquisition
InSAR
Interferometric synthetic aperture radar
Interferometry
Kinematics
Landslides
Landslides & mudslides
Mass wasting
Pingding‐Huama fault
Precipitation
Rainfall
rainfall‐driven landslides
Remote sensing
River erosion
Rivers
SAR (radar)
Satellite imagery
Seasonal rainfall
Seasonal variation
Seasonal variations
slow‐moving landslides
Synthetic aperture radar
Synthetic aperture radar interferometry
Tectonics
Temporal variations
Thrust
Thrust faults
Time series
title Characterization of landslide displacements in an active fault zone in Northwest China
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