Geologic Environment Division, Korea Institute of Geoscience and Mineral Resources, Daejeon 34132, Korea.
Policy and Planning Division, Korea Institute of Geoscience and Mineral Resources, Daejeon 34132, Korea.
Sensors (Basel). 2021 Apr 26;21(9):3040. doi: 10.3390/s21093040.
This study describes the development of a landslide monitoring system for the purpose of reducing damages caused by landslides in natural terrain. The system was developed to analyze the effects of landslide-inducing rainfall and the behavior of slopes through 12 monitoring stations that are distributed across eight national parks in Korea. Several sensors and a data acquisition equipment to monitor landslide were installed in each station. The composition of the system and its operating program were designed to efficiently manage the sizeable amounts of real-time monitoring data that are collected from the various stations. To test the potential of the developed system for reliable landslide hazard evaluations, data measured over a five-year period by the two monitoring stations in Jirisan National Park were analyzed. Subsequently, the suction stress of the soil over the monitoring period was calculated by applying laboratory test result of the geotechnical and unsaturated soil properties in the analysis domain area. The infinite slope stability analysis combined with an effective stress concept based on the suction stress was applied to calculate the factor of safety. This method also enabled the temporal and quantitative evaluation of slope stability in natural terrain. In addition, based on the monitoring and slope stability analysis results, an analysis for the spatial classification of landslide hazards was conducted. The analysis results quantitatively and statistically demonstrated that 98% of historical landslide initiation areas were classified as high hazard levels.
本研究旨在开发一种滑坡监测系统,以减少自然地形中滑坡造成的损失。该系统旨在通过分布在韩国八个国家公园的 12 个监测站分析滑坡诱发降雨的影响和边坡的行为。每个站都安装了一些监测滑坡的传感器和数据采集设备。系统的组成和运行程序旨在有效地管理从各个站收集的大量实时监测数据。为了测试所开发系统进行可靠的滑坡危险评估的潜力,对位于济州国立公园的两个监测站在五年期间测量的数据进行了分析。随后,通过在分析域内应用岩土和非饱和土特性的实验室测试结果,计算了监测期间土壤的吸力应力。将基于吸力应力的有效应力概念与无限边坡稳定性分析相结合,计算了安全系数。该方法还可以对自然地形中的边坡稳定性进行时间和定量评估。此外,基于监测和边坡稳定性分析结果,对滑坡危险的空间分类进行了分析。分析结果从数量和统计学上证明了 98%的历史滑坡发生区被归类为高危险级别。