Early identification and characteristics of potential landslides in the Bailong River Basin using InSAR technique
Yuanxi Li, Yi Zhang, Xiaojun Su, Fu-meng Zhao, Yi-hong Liang, Xing-min Meng, J. Jia
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引用次数: 3
Abstract
The Bailong River Basin is located in the southeast of Gansu Province and situated at the intersection of the Qinghai-Tibet Plateau, the Loess Plateau, and the Sichuan Basin. Geohazards, such as landslides and debris flows, have high frequency and wide distribution due to the impact of rainfall, tectonic activity, and earthquakes. These phenomena pose a serious threat to the safety of life and property of the local people. Investigating a new method to detect potential landslide and study its characteristics is important to provide key supports for local disaster prevention and mitigation.In this study, an InSAR technique called Small Baseline Subset was selected to process 60 Sentinel-1A SAR images acquired from March 2018 to March 2019. Moreover, the study area was clipped into 8 blocks to improve the efficiency of data processing and minimize the errors caused by the complex terrain of the region.On the basis of the abovementioned method, the mean surface displacement rates ranging from -158 and 100 mm/year along the line-of-sight direction were detected during March 2018 and March 2019. A total of 114 potential landslides were investigated and identified in the Bailong River Basin based on optical image interpretation and field survey. Statistical analysis of their basic information shows that most of the potential landslides tend to develop in the S, SSW, and SSE-faced slope with a gradient of 20°-40°. The elevation difference of potential landslides is less than 150 m. The slope material is mostly composed of slope deposits and heavy weathered rocks, such as phyllite. The majority of potential landslides have an area less than 5×104 m2.Yahuokou landslide, which was investigated as a potential landslide with displacement rates > 38 mm/year, broke and ran into Min River from 19 July 2019. On the basis of the analysis of landslide pre-cursory deformation and geomorphology, the landslide was divided into three sections: source, propagation, and accumulation areas. The successful identification of potential landslide demonstrates the applicability and efficiency of InSAR technique in landslide investigation and identification. This research provides foundation and scientific support for landslide mapping and disaster prevention in Bailong River Basin. © 2021, Science Press. All right reserved.
基于InSAR技术的白龙江流域潜在滑坡早期识别与特征
白龙江流域位于甘肃省东南部,地处青藏高原、黄土高原和四川盆地的交汇处。由于降雨、构造活动和地震的影响,山体滑坡和泥石流等地质灾害频率高、分布广。这些现象对当地人民的生命财产安全构成严重威胁。探索潜在滑坡探测新方法及其特征研究,为地方防灾减灾提供关键支撑。在本研究中,选择了一种称为小基线子集的InSAR技术来处理2018年3月至2019年3月获取的60幅Sentinel-1A SAR图像。此外,为了提高数据处理效率,最大限度地减少该地区复杂地形带来的误差,将研究区域裁剪为8个区块。基于上述方法,2018年3月和2019年3月沿视线方向的平均地表位移率在-158和100 mm/年之间。在光学影像解译和野外调查的基础上,对白龙江流域共114个潜在滑坡进行了调查识别。对其基本信息的统计分析表明,潜在滑坡大多倾向于在坡度为20°~ 40°的S、SSW和sse面边坡发育。潜在滑坡高差小于150 m。斜坡物质主要由斜坡沉积物和重风化岩(如千层岩)组成。大多数潜在滑坡的面积小于5×104 m2。崖火口滑坡自2019年7月19日起溃决并流入岷江,被调查为潜在滑坡,位移速率为10 ~ 38 mm/年。在对滑坡前期变形和地貌分析的基础上,将滑坡划分为源区、扩展区和堆积区3个区段。潜在滑坡的成功识别证明了InSAR技术在滑坡调查识别中的适用性和有效性。该研究为白龙江流域滑坡填图和防灾提供了基础和科学支持。©2021,科学出版社。版权所有。
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