Application of UAV and GB-SAR in Mechanism Research and Monitoring of Zhonghaicun Landslide in Southwest China
This paper presents a recent rainfall-induced landslide in China that occurred on August 21, 2020 and resulted in nine deaths. The sliding material traveled a distance of 800 m, with an altitude difference of about 180 m. A field investigation, remote sensing based on an unmanned aerial vehicle (UAV...
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MDPI AG
2021-04-01
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Online Access: | https://www.mdpi.com/2072-4292/13/9/1653 |
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author | Bo Liu Kun He Mei Han Xiewen Hu Guotao Ma Mingyang Wu |
author_facet | Bo Liu Kun He Mei Han Xiewen Hu Guotao Ma Mingyang Wu |
author_sort | Bo Liu |
collection | DOAJ |
description | This paper presents a recent rainfall-induced landslide in China that occurred on August 21, 2020 and resulted in nine deaths. The sliding material traveled a distance of 800 m, with an altitude difference of about 180 m. A field investigation, remote sensing based on an unmanned aerial vehicle (UAV), in situ monitoring, and a rainfall data analysis were carried out to reveal the deposit characteristics, causative factors, post-landslide behavior, and the mechanism of the landslide. A saltatory micro-relief of the original slope determined the multiple-stage failure type of the slide, and also promoted the entrainment effect during the landslide movement. After the first-initiation sliding stage, the motion of this landslide involved typical progressive movement, and over time, the style of the runout generally turned into a flow-like form. Furthermore, the antecedent cumulative rainfall of 149.5 mm directly contributed to the occurrence of the landslide. Using the GB-SAR early warning system, the post-landslide residual failure was successfully predicted 10 min in advance. The combination of the UAV and GB-SAR technique can surely be beneficial for other inaccessible landslide investigations as well and improves the emergency rescue security. |
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format | Article |
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institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-10T12:02:17Z |
publishDate | 2021-04-01 |
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series | Remote Sensing |
spelling | doaj.art-cfd69af599ef4276b3bf5421b9fd50bf2023-11-21T16:51:49ZengMDPI AGRemote Sensing2072-42922021-04-01139165310.3390/rs13091653Application of UAV and GB-SAR in Mechanism Research and Monitoring of Zhonghaicun Landslide in Southwest ChinaBo Liu0Kun He1Mei Han2Xiewen Hu3Guotao Ma4Mingyang Wu5Faculty of Geoscience and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaFaculty of Geoscience and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Mathematics, Southwest Jiaotong University, Chengdu 611756, ChinaFaculty of Geoscience and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaFaculty of Geoscience and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Resources and Safety Engineering, Chongqing University, Chongqing 400044, ChinaThis paper presents a recent rainfall-induced landslide in China that occurred on August 21, 2020 and resulted in nine deaths. The sliding material traveled a distance of 800 m, with an altitude difference of about 180 m. A field investigation, remote sensing based on an unmanned aerial vehicle (UAV), in situ monitoring, and a rainfall data analysis were carried out to reveal the deposit characteristics, causative factors, post-landslide behavior, and the mechanism of the landslide. A saltatory micro-relief of the original slope determined the multiple-stage failure type of the slide, and also promoted the entrainment effect during the landslide movement. After the first-initiation sliding stage, the motion of this landslide involved typical progressive movement, and over time, the style of the runout generally turned into a flow-like form. Furthermore, the antecedent cumulative rainfall of 149.5 mm directly contributed to the occurrence of the landslide. Using the GB-SAR early warning system, the post-landslide residual failure was successfully predicted 10 min in advance. The combination of the UAV and GB-SAR technique can surely be beneficial for other inaccessible landslide investigations as well and improves the emergency rescue security.https://www.mdpi.com/2072-4292/13/9/1653landsliderainfallentrainmentmonitoringmechanism |
spellingShingle | Bo Liu Kun He Mei Han Xiewen Hu Guotao Ma Mingyang Wu Application of UAV and GB-SAR in Mechanism Research and Monitoring of Zhonghaicun Landslide in Southwest China Remote Sensing landslide rainfall entrainment monitoring mechanism |
title | Application of UAV and GB-SAR in Mechanism Research and Monitoring of Zhonghaicun Landslide in Southwest China |
title_full | Application of UAV and GB-SAR in Mechanism Research and Monitoring of Zhonghaicun Landslide in Southwest China |
title_fullStr | Application of UAV and GB-SAR in Mechanism Research and Monitoring of Zhonghaicun Landslide in Southwest China |
title_full_unstemmed | Application of UAV and GB-SAR in Mechanism Research and Monitoring of Zhonghaicun Landslide in Southwest China |
title_short | Application of UAV and GB-SAR in Mechanism Research and Monitoring of Zhonghaicun Landslide in Southwest China |
title_sort | application of uav and gb sar in mechanism research and monitoring of zhonghaicun landslide in southwest china |
topic | landslide rainfall entrainment monitoring mechanism |
url | https://www.mdpi.com/2072-4292/13/9/1653 |
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