Dynamic process, influence, and triggering mechanism of slope remodelling by landslide clusters in the South Jingyang Tableland, China
Dynamic process, influence, and triggering mechanism of slope remodelling by landslide clusters in the South Jingyang Tableland, China
复制标题
泾阳南塬群滑坡群重塑坡体的动力过程、影响及触发机制
DOI：
10.1016/j.catena.2022.106518
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发表时间：
2022
期刊：
影响因子：
6.2
通讯作者：
Mingming Cao
中科院分区：
文献类型：
--
作者：
Sheng Hu;Xingang Wang;Ninglian Wang;Dongdong Yang;Daozheng Wang;Shuyue Ma;Zhaopeng Song;Mingming Cao
• 黄土环境中已证实存在滑坡路径依赖。
• 揭示了滑坡群对泾阳南塬动态演化的影响。
• 对研究区域的水文地质结构进行了调查。
• 多学科方法应用于黄土滑坡调查。
近期，滑坡路径依赖的概念在意大利中部和尼泊尔喜马拉雅地区的滑坡研究中被提出并得到充分证实，为理解滑坡活动模式和评估易发性提供了新的视角。先前的研究表明，中国一些黄土塬地区的滑坡具有明显的聚类效应，但这些地区的滑坡是否也存在路径依赖尚未得到充分探讨。从滑坡路径依赖的角度，在中国陕西省泾阳南塬滑坡群的研究中联合应用了多学科调查方法（包括遥感、卫星解译与监测、地理信息系统制图、地面激光扫描仪测量、电阻率层析成像测量、远程在线监测、物理实验、数值模拟、数理统计分析以及地貌变化检测等）。我们揭示了研究区域内滑坡群的时空分布和变形规律，分析了连续滑坡对黄土塬地貌演化的影响及其触发机制，并找到了黄土环境中存在滑坡路径依赖的证据。结果表明，人类活动导致的地下水位上升是研究区域内滑坡群形成的主要原因。不同的路径依赖模式（复活或持续滑坡、局部激活滑坡、远程激活滑坡）单独或相互作用反复发生，导致大规模滑坡群的形成，并不断重塑黄土塬的地貌，从而加速了黄土塬的演化进程。本研究为进一步了解黄土塬滑坡群的分布规律、滑动模式、聚类效应和形成机制提供了科学依据。
• Landslide path dependence has been proved in loess environment. • The influence of landslide clusters on the dynamic evolution of South Jingyang Tableland is revealed. • The hydrogeological structure of the study area is investigated. • Multi-disciplinary methods are applied to loess landslide investigation. Recently, the concept of landslide path dependence has been proposed and well confirmed in landslide studies in central Italy and the Nepal Himalaya, providing a novel perspective for understanding landslide activity patterns and assessing susceptibility. Previous studies have shown that landslides in some loess tableland regions of China have obvious clustering effect, but whether landslides in these regions also have path dependence have not been well discussed. From the perspective of landslide path dependence, multidisciplinary survey methods (including remote sensing, satellite interpreting and monitoring, geographic information system mapping, terrestrial laser scanner survey, electrical resistivity tomography survey, remote online monitoring, physical experiments, numerical simulations, mathematical statistical analysis, and geomorphic change detection, etc.) were jointly applied in the study of landslide clusters in the South Jingyang Tableland, Shaanxi Province, China. We reveal the temporal-spatial distribution and deformation law of landslide clusters in the study area, analyze the effect of consecutive landsliding on the geomorphic evolution of the loess tableland and its triggering mechanism, and find the evidence of the existence of landslide path dependence in loess environment. The results show that the rise of groundwater level caused by human activities is the main culprit for the landslide clusters formation in the study area. Different path dependent models (reactivation or continuation landsliding, local activation landsliding, and remote activation landsliding) repeatedly acted alone or interacted with each other, leading to the formation of large-scale landslide clusters, and continuously remodeled the landscape of the loess tableland, thus accelerating the evolution process of the loess tableland. This study provides a scientific basis for further understanding the distribution law, sliding mode, clustering effect and formation mechanism of landslide clusters in loess tableland.