Moisture-induced landslides are a global geohazard; mitigating the risk posed by landslides requires an understanding of the hydrological and geological conditions present within a given slope. Recently, numerous geophysical studies have been attempted to characterise slow-moving landslides, with an emphasis on developing geoelectrical methods as a hydrological monitoring tool. However, landslides pose specific challenges for processing geoelectrical data in long-term monitoring contexts as the sensor arrays can move with slope movements. Here we present an approach for processing long-term (over 8 years) geoelectrical monitoring data from an active slow-moving landslide, Hollin Hill, situated in Lias rocks in the southern Howardian Hills, UK. These slope movements distorted the initial setup of the monitoring array and need to be incorporated into a time-lapse resistivity processing workflow to avoid imaging artefacts. We retrospectively sourced seven digital terrain models to inform the topography of our imaging volumes, which were acquired by either Unmanned Aerial Vehicle (UAV)-based photogrammetry or terrestrial laser ranging systems. An irregular grid of wooden pegs was periodically surveyed with a global position system, from which distortions to the terrain model and electrode positions can be modelled with thin plate splines. In order to effectively model the time-series electrical resistivity images, a baseline constraint is applied within the inversion scheme; the result of the study is a time-lapse series of resistivity volumes which also incorporate slope movements. The workflow presented here should be adaptable for other studies focussed on geophysical/geotechnical monitoring of unstable slopes.

水分诱发的滑坡是全球性的地质灾害。要减轻滑坡带来的风险，需要了解给定坡度内存在的水文和地质条件。近来，已经尝试了许多地球物理研究来表征缓慢移动的滑坡，并着重于发展作为水文监测工具的地电方法。但是，由于传感器阵列可以随坡度运动而移动，因此，在长期监测的情况下，滑坡对处理地电数据提出了特殊的挑战。在这里，我们提出了一种方法，用于处理来自活跃的缓慢移动的滑坡Hollin Hill的长期（超过8年）地电监测数据，该滑坡位于英国Howardian Hills南部的Lias岩石中。这些坡度运动使监视阵列的初始设置失真，需要将其合并到随时间推移的电阻率处理工作流程中，以避免成像伪像。我们回顾性地获得了七个数字地形模型，以告知我们的成像量的地形，这些成像量是通过基于无人机（UAV）的摄影测量法或地面激光测距系统获得的。使用全球定位系统定期调查不规则的木钉网格，然后使用薄板样条线对地形模型和电极位置的变形进行建模。为了有效地对时序电阻率图像进行建模，在反演方案中应用了基线约束。研究的结果是电阻率体积随时间推移的一系列变化，其中还包含了坡度运动。