Formation and Hazard Analysis of Landslide Damming Based on Multi-Source Remote Sensing Data
Remote sensing plays an increasingly important role in the investigation of natural hazards, not only by obtaining specific data related to hazards, but also by realizing targeted research by combining with other data and/or technologies. Small-scale landslide hazard chain events occur frequently in...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-09-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/19/4691 |
| _version_ | 1797575242647863296 |
|---|---|
| author | Wei Shi Guan Chen Xingmin Meng Shiqiang Bian Jiacheng Jin Jie Wu Fengchun Huang Yan Chong |
| author_facet | Wei Shi Guan Chen Xingmin Meng Shiqiang Bian Jiacheng Jin Jie Wu Fengchun Huang Yan Chong |
| author_sort | Wei Shi |
| collection | DOAJ |
| description | Remote sensing plays an increasingly important role in the investigation of natural hazards, not only by obtaining specific data related to hazards, but also by realizing targeted research by combining with other data and/or technologies. Small-scale landslide hazard chain events occur frequently in mountainous areas with fragile geological environments and have strong destructive effects, yet have been somewhat understudied. This paper analyzes the Zhoujiaba (ZJB) landslide hazard chain that occurred in Longnan City on 18 August 2020. On the basis of the comprehensive application of multi-source remote sensing data, combined with time-series InSAR technology, electrical resistivity tomography (ERT), and numerical simulations, we studied the formation mechanism, damming characteristics, and potential outburst scenarios of this event. Our research suggests that geological structure and strong natural weathering are the preconditions for landslide development, which is eventually induced by extreme rainfall. Specific topographic conditions determine the rapid sliding and accumulation of landslide materials, and ultimately result in river damming. Our simulation results showed that a flood, rather than a debris flow, will be the result of dam outburst. When the simulated upstream inflow is 1.5 times that when the landslide occurred, 68% of the downstream village area will be flooded. The artificial spillway can effectively reduce the scale of the potential outburst flood, but there remains a risk of dam failure owing to the shallow depth. Our study of the hazard chain of a small-scale landslide using a combination of methods will provide a valuable reference for the analysis and treatment of similar hazard chains. |
| first_indexed | 2024-03-10T21:37:00Z |
| format | Article |
| id | doaj.art-95637eccb7aa41ddad67471ede0539ca |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T21:37:00Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-95637eccb7aa41ddad67471ede0539ca2023-11-19T14:58:37ZengMDPI AGRemote Sensing2072-42922023-09-011519469110.3390/rs15194691Formation and Hazard Analysis of Landslide Damming Based on Multi-Source Remote Sensing DataWei Shi0Guan Chen1Xingmin Meng2Shiqiang Bian3Jiacheng Jin4Jie Wu5Fengchun Huang6Yan Chong7MOE Key Laboratory of Westen China’s Environmental Systems, School of Earth Sciences, Lanzhou University, Lanzhou 730000, ChinaMOE Key Laboratory of Westen China’s Environmental Systems, School of Earth Sciences, Lanzhou University, Lanzhou 730000, ChinaMOE Key Laboratory of Westen China’s Environmental Systems, School of Earth Sciences, Lanzhou University, Lanzhou 730000, ChinaMOE Key Laboratory of Westen China’s Environmental Systems, School of Earth Sciences, Lanzhou University, Lanzhou 730000, ChinaMOE Key Laboratory of Westen China’s Environmental Systems, School of Earth Sciences, Lanzhou University, Lanzhou 730000, ChinaMOE Key Laboratory of Westen China’s Environmental Systems, School of Earth Sciences, Lanzhou University, Lanzhou 730000, ChinaMOE Key Laboratory of Westen China’s Environmental Systems, School of Earth Sciences, Lanzhou University, Lanzhou 730000, ChinaMOE Key Laboratory of Westen China’s Environmental Systems, School of Earth Sciences, Lanzhou University, Lanzhou 730000, ChinaRemote sensing plays an increasingly important role in the investigation of natural hazards, not only by obtaining specific data related to hazards, but also by realizing targeted research by combining with other data and/or technologies. Small-scale landslide hazard chain events occur frequently in mountainous areas with fragile geological environments and have strong destructive effects, yet have been somewhat understudied. This paper analyzes the Zhoujiaba (ZJB) landslide hazard chain that occurred in Longnan City on 18 August 2020. On the basis of the comprehensive application of multi-source remote sensing data, combined with time-series InSAR technology, electrical resistivity tomography (ERT), and numerical simulations, we studied the formation mechanism, damming characteristics, and potential outburst scenarios of this event. Our research suggests that geological structure and strong natural weathering are the preconditions for landslide development, which is eventually induced by extreme rainfall. Specific topographic conditions determine the rapid sliding and accumulation of landslide materials, and ultimately result in river damming. Our simulation results showed that a flood, rather than a debris flow, will be the result of dam outburst. When the simulated upstream inflow is 1.5 times that when the landslide occurred, 68% of the downstream village area will be flooded. The artificial spillway can effectively reduce the scale of the potential outburst flood, but there remains a risk of dam failure owing to the shallow depth. Our study of the hazard chain of a small-scale landslide using a combination of methods will provide a valuable reference for the analysis and treatment of similar hazard chains.https://www.mdpi.com/2072-4292/15/19/4691rainfall-induced landslidebarrier lakehazard chainhazard prediction |
| spellingShingle | Wei Shi Guan Chen Xingmin Meng Shiqiang Bian Jiacheng Jin Jie Wu Fengchun Huang Yan Chong Formation and Hazard Analysis of Landslide Damming Based on Multi-Source Remote Sensing Data Remote Sensing rainfall-induced landslide barrier lake hazard chain hazard prediction |
| title | Formation and Hazard Analysis of Landslide Damming Based on Multi-Source Remote Sensing Data |
| title_full | Formation and Hazard Analysis of Landslide Damming Based on Multi-Source Remote Sensing Data |
| title_fullStr | Formation and Hazard Analysis of Landslide Damming Based on Multi-Source Remote Sensing Data |
| title_full_unstemmed | Formation and Hazard Analysis of Landslide Damming Based on Multi-Source Remote Sensing Data |
| title_short | Formation and Hazard Analysis of Landslide Damming Based on Multi-Source Remote Sensing Data |
| title_sort | formation and hazard analysis of landslide damming based on multi source remote sensing data |
| topic | rainfall-induced landslide barrier lake hazard chain hazard prediction |
| url | https://www.mdpi.com/2072-4292/15/19/4691 |
| work_keys_str_mv | AT weishi formationandhazardanalysisoflandslidedammingbasedonmultisourceremotesensingdata AT guanchen formationandhazardanalysisoflandslidedammingbasedonmultisourceremotesensingdata AT xingminmeng formationandhazardanalysisoflandslidedammingbasedonmultisourceremotesensingdata AT shiqiangbian formationandhazardanalysisoflandslidedammingbasedonmultisourceremotesensingdata AT jiachengjin formationandhazardanalysisoflandslidedammingbasedonmultisourceremotesensingdata AT jiewu formationandhazardanalysisoflandslidedammingbasedonmultisourceremotesensingdata AT fengchunhuang formationandhazardanalysisoflandslidedammingbasedonmultisourceremotesensingdata AT yanchong formationandhazardanalysisoflandslidedammingbasedonmultisourceremotesensingdata |