Characterization of transient movements within the Joshimath hillslope complex: Results from multi-sensor InSAR observations

IF 2.1 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science Pub Date : 2024-09-17 DOI:10.1007/s41064-024-00315-w
Wandi Wang, Mahdi Motagh, Zhuge Xia, Zhong Lu, Sadra Karimzadeh, Chao Zhou, Alina V. Shevchenko, Sigrid Roessner
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Abstract

This paper investigates the spatiotemporal characteristics and life-cycle of movements within the Joshimath landslide-prone slope over the period from 2015 to 2024, utilizing multi-sensor interferometric data from Sentinel‑1, ALOS‑2, and TerraSAR‑X satellites. Multi-temporal InSAR analysis before the 2023 slope destabilization crisis, when the region experienced significant ground deformation acceleration, revealed two distinct deformation clusters within the eastern and middle parts of the slope. These active deformation regions have been creeping up to −200 mm/yr. Slope deformation analysis indicates that the entire Joshimath landslide-prone slope can be categorized kinematically as either Extremely-Slow (ES) or Very-Slow (VS) moving slope, with the eastern cluster mainly exhibiting ES movements, while the middle cluster showing VS movements. Two episodes of significant acceleration occurred on August 21, 2019 and November 2, 2021, with the rate of slope deformation increasing by 20% (from −50 to −60 mm/yr) and around threefold (from −60 to −249 mm/yr), respectively. Following the 2023 destabilization crisis, the rate of ground deformation notably increased across all datasets for both clusters, except for the Sentinel‑1 ascending data in the eastern cluster. Pre-crisis, horizontal deformation was dominant both in the eastern and middle clusters. Horizontal deformation remained dominant and increased significantly in the eastern cluster post-crisis phase, whereas vertical deformation became predominant in the middle cluster. Wavelet analysis reveals a strong correlation between two acceleration episodes and extreme precipitation in 2019 and 2021, but no similar correlation was detected in other years. This indicates that while extreme rainfall significantly influenced the dynamics of slope movements during these episodes, less strong precipitation had a minimal impact on slope movements during other periods.

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乔希马特山坡复合体瞬时移动的特征:多传感器 InSAR 观测结果
本文利用哨兵-1、ALOS-2 和 TerraSAR-X 卫星的多传感器干涉测量数据,研究了 2015 年至 2024 年期间乔希马特山滑坡易发斜坡的时空特征和运动生命周期。在 2023 年斜坡失稳危机之前,该地区经历了显著的地面变形加速,多时相 InSAR 分析揭示了斜坡东部和中部两个不同的变形群。这些活跃的变形区域的蠕变速度高达-200 毫米/年。斜坡变形分析表明,整个乔希马特易滑坡斜坡在运动学上可分为极慢(ES)移动斜坡和极慢(VS)移动斜坡,其中东部斜坡群主要表现为 ES 移动,而中部斜坡群则表现为 VS 移动。2019年8月21日和2021年11月2日发生了两次明显的加速运动,斜坡变形速度分别增加了20%(从-50毫米/年增加到-60毫米/年)和3倍左右(从-60毫米/年增加到-249毫米/年)。2023 年失稳危机发生后,除东部集群的哨兵-1 号上升数据外,两个集群的所有数据集的地面变形速率都显著增加。危机前,水平形变在东部和中部组群中均占主导地位。危机后阶段,水平形变在东部星群中仍占主导地位并显著增加,而垂直形变则在中部星群中占主导地位。小波分析显示,2019 年和 2021 年的两次加速事件与极端降水之间存在很强的相关性,但在其他年份没有发现类似的相关性。这表明,虽然极端降水在这些事件中对斜坡运动的动态产生了重大影响,但在其他时期,强度较小的降水对斜坡运动的影响微乎其微。
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来源期刊
CiteScore
8.20
自引率
2.40%
发文量
38
期刊介绍: PFG is an international scholarly journal covering the progress and application of photogrammetric methods, remote sensing technology and the interconnected field of geoinformation science. It places special editorial emphasis on the communication of new methodologies in data acquisition and new approaches to optimized processing and interpretation of all types of data which were acquired by photogrammetric methods, remote sensing, image processing and the computer-aided interpretation of such data in general. The journal hence addresses both researchers and students of these disciplines at academic institutions and universities as well as the downstream users in both the private sector and public administration. Founded in 1926 under the former name Bildmessung und Luftbildwesen, PFG is worldwide the oldest journal on photogrammetry. It is the official journal of the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF).
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