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New Insights into Ice Avalanche-Induced Debris Flows in Southeastern Tibet Using SAR Technology

文献类型：期刊论文

作者Luo, Siyuan3; Xiong, Junnan1,3; Liu, Shuang4; Hu, Kaiheng4; Cheng, Weiming1; Liu, Jun3; He, Yufeng3; Sun, Huaizhang2; Cui, Xingjie3; Wang, Xin3
刊名REMOTE SENSING
出版日期2022-06-01
卷号14期号:11页码:20
关键词SAR time-series InSAR deformation monitoring snowmelt Sentinel-1
DOI10.3390/rs14112603
通讯作者Xiong, Junnan(xiongjn@swpu.edu.cn)
英文摘要Drastic climate change has led to glacier retreat in southeastern Tibet, and the increased frequency and magnitude of heavy rainfall and intense snow melting have intensified the risk of ice avalanche-induced debris flows in this region. To prevent and mitigate such hazards, it is important to derive the pre-disaster evolutionary characteristics of glacial debris flows and understand their triggering mechanisms. However, ice avalanche-induced debris flows mostly occur in remote alpine mountainous areas that are hard for humans to reach, which makes it extremely difficult to conduct continuous ground surveys and optical remote sensing monitoring. To this end, synthetic aperture radar (SAR) images were used in this study to detect and analyze the pre-disaster deformation characteristics and spatial evolution in the Sedongpu Basin and to detect changes in the snowmelt in the basin in order to improve our understanding of the triggering mechanism of the ice avalanche-induced debris flows in this region. The results revealed that the maximum average deformation rate in the basin reached 57.3 mm/year during the monitoring period from January 2016 to October 2018. The deformation displacement in the gully where the ice avalanche source area was located was intimately correlated with the summer snowmelt and rainfall and was characterized by seasonal accumulation. Clear acceleration of the deformation was detected after both the most recent earthquake and the strong rainfall and snowmelt processes in the summer of 2018. This suggests that earthquakes, snowmelt, and rainfall were significant triggers of the Sedongpu ice avalanche-induced debris flows. The results of this study provide new insights into the genesis of the Sedongpu ice avalanche-induced debris flows, which could assist in disaster warning and prevention in alpine mountain regions.
WOS关键词WET-SNOW ; LANDSLIDE ; ALGORITHM ; GLACIERS ; CHINA ; SCATTERERS ; SENTINEL-1 ; RETRIEVAL
资助项目National Key R&D Program of China[2020YFD1100701] ; Key R&D project of the Sichuan Science and Technology Department[2021YFQ0042] ; Science and Technology Project of Xizang Autonomous Region[XZ201901-GA07] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20030302]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者MDPI
WOS记录号WOS:000809911100001
资助机构National Key R&D Program of China ; Key R&D project of the Sichuan Science and Technology Department ; Science and Technology Project of Xizang Autonomous Region ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/179451]  
专题中国科学院地理科学与资源研究所
通讯作者Xiong, Junnan
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Peoples R China
3.Southwest Petr Univ, Sch Civil Engn & Geomat, Chengdu 610500, Peoples R China
4.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
推荐引用方式
GB/T 7714		 Luo, Siyuan,Xiong, Junnan,Liu, Shuang,et al. New Insights into Ice Avalanche-Induced Debris Flows in Southeastern Tibet Using SAR Technology[J]. REMOTE SENSING,2022,14(11):20.
APA Luo, Siyuan.,Xiong, Junnan.,Liu, Shuang.,Hu, Kaiheng.,Cheng, Weiming.,...&Wang, Xin.(2022).New Insights into Ice Avalanche-Induced Debris Flows in Southeastern Tibet Using SAR Technology.REMOTE SENSING,14(11),20.
MLA Luo, Siyuan,et al."New Insights into Ice Avalanche-Induced Debris Flows in Southeastern Tibet Using SAR Technology".REMOTE SENSING 14.11(2022):20.

入库方式： OAI收割

来源：地理科学与资源研究所

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