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Deformation response and triggering factors of the reservoir landslide-pile system based upon geographic detector technology and uncertainty of monitoring data

机译:基于地理探测器技术的储层山体滑坡系统的变形响应与触发因素及监测数据的不确定性

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Understandings of reinforcement mechanisms of landslide-stabilizing pile system are important for long-term safety of reservoir landslides installed piles. The paper proposes a framework to study deformation response and identify triggering factors for landslide-pile system by using geographic detector technology and uncertainty of monitoring data. Majiagou landslide, a representative reservoir landslide installed stabilizing and test piles, is selected as the case study. Firstly, monitoring data of monthly rainfall, variations of reservoir water level, deformation of landslide surface and piles' head were preprocessed. The random deformation data were generated considering uncertainty of deformation monitoring data. Meanwhile, the deformation response of landslide-pile system is analyzed through studying the monitoring deformation data and random deformation data using the clustering algorithm. Finally, geographic detector technique was used to identify main triggering factors of landslide surface deformation and explore interaction types of any two factors. The uncertainty of monitoring data was used to identify the most important triggering factor. Influences of different error and uncertainty of monitoring data on the influence degrees of each factor were further discussed. The comparison with improved Apriori algorithm shows that the presented framework can intuitively measure influence degrees of each factor and analyze interaction types of any two factors. The main conclusions by studying Majiagou landslide indicate that the anti-slide performance and action range of piles gradually decrease with the increase of hydraulic cycle; the deterioration of geomaterials' properties are the most important triggering factor leading to the deformation of landslide-pile system and the degradation of piles' performance, supported by most random deformation groups.
机译:Landlide稳定桩系统加固机制的谅解机制对于储层山体滑坡安装桩的长期安全性很重要。本文提出了一种研究变形响应的框架,并通过使用地理探测器技术和监测数据的不确定性来识别滑坡桩系统的触发因子。选择稳定和测试桩的代表性水库滑坡,稳定和试验桩的Majiagou Landslide。首先,预加工,监测月度降雨量,水库水位变化,山体积和桩头的变形。考虑到变形监测数据的不确定性,产生随机变形数据。同时,通过使用聚类算法研究监控变形数据和随机变形数据来分析滑坡桩系统的变形响应。最后,使用地理检测器技术来识别滑坡表面变形的主要触发因素,探索任何两个因素的交互类型。监控数据的不确定性用于识别最重要的触发因子。进一步讨论了不同误差和监测数据对每个因素影响程度的监测数据的影响。与改进的APRIORI算法的比较表明,所呈现的框架可以直观地测量每个因素的影响程度并分析任何两个因素的交互类型。通过研究Majiagou Landslide的主要结论表明,随着水力循环的增加,桩的抗滑性能和动作范围逐渐减少;地岩石属性的恶化是最重要的触发因子,导致滑坡桩系统变形和桩的性能降低,由大多数随机变形组支持。

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