Huntley David, Bobrowsky Peter, Macleod Roger, Cocking Robert, Joseph Jamel, Rotheram-Clarke Drew
Geological Survey of Canada, 1500-605 Robson Street, Vancouver, British Columbia V6B 5J3 Canada.
Geological Survey of Canada, 9860 West Saanich Road, Sidney, British Columbia V8L 4B2 Canada.
J Mt Sci. 2021;18(1):1-20. doi: 10.1007/s11629-020-6552-y. Epub 2021 Jan 12.
This paper presents a novel approach to continuously monitor very slow-moving translational landslides in mountainous terrain using conventional and experimental differential global navigation satellite system (d-GNSS) technologies. A key research question addressed is whether displacement trends captured by a radio-frequency "mobile" d-GNSS network compare with the spatial and temporal patterns in activity indicated by satellite interferometric synthetic aperture radar (InSAR) and unmanned aerial vehicle (UAV) photogrammetry. Field testing undertaken at Ripley Landslide, near Ashcroft in south-central British Columbia, Canada, demonstrates the applicability of new geospatial technologies to monitoring ground control points (GCPs) and railway infrastructure on a landslide with small and slow annual displacements (<10 cm/yr). Each technique records increased landslide activity and ground displacement in late winter and early spring. During this interval, river and groundwater levels are at their lowest levels, while ground saturation rapidly increases in response to the thawing of surficial earth materials, and the infiltration of snowmelt and runoff occurs by way of deep-penetrating tension cracks at the head scarp and across the main slide body. Research over the last decade provides vital information for government agencies, national railway companies, and other stakeholders to understand geohazard risk, predict landslide movement, improve the safety, security, and resilience of Canada's transportation infrastructure; and reduce risks to the economy, environment, natural resources, and public safety.
本文提出了一种新方法,利用传统和实验性差分全球导航卫星系统(d-GNSS)技术,持续监测山区移动非常缓慢的平移式滑坡。所解决的一个关键研究问题是,由射频“移动”d-GNSS网络捕获的位移趋势,是否与卫星干涉合成孔径雷达(InSAR)和无人机(UAV)摄影测量所显示的活动的空间和时间模式相符。在加拿大不列颠哥伦比亚省中南部阿什克罗夫特附近的里普利滑坡进行的现场测试,证明了新的地理空间技术在监测年位移较小且缓慢(<10厘米/年)的滑坡上的地面控制点(GCP)和铁路基础设施方面的适用性。每种技术都记录到,在冬末和早春滑坡活动及地面位移增加。在此期间,河流和地下水位处于最低水平,而随着表层土解冻,地面饱和度迅速上升,融雪和径流通过滑坡顶部的深穿透张裂缝和穿过主滑体渗入。过去十年的研究为政府机构、国家铁路公司和其他利益相关者提供了重要信息,有助于他们了解地质灾害风险、预测滑坡运动、提高加拿大交通基础设施的安全性、保障和恢复力;并降低对经济、环境、自然资源和公共安全的风险。