Abstract
Abstract. A collapse of slope is one of the natural disasters that often occur during the early spring and the rainy season. In order to prevent this kind of disaster, safety monitoring is carried out through risk assessment. This assessment consists of various parameters such as inclination angle and height of the slope, and inspectors evaluate the score using the compass, the laser range finder, and so on. This approach is, however, consumed a lot of the manpower and the time. This study, therefore, aims to evaluate the rapid and accurate steep slope risk by using a terrestrial LiDAR which takes 3 dimensional spatial information data. 3D spatial information data was acquired using the terrestrial LiDAR for steep slopes classified as very unstable slopes. Noise and vegetation of the acquired scan data were removed to generate point cloud data with a rock or mountain model without vegetation. The RMSE of the registration accuracy was 0.0156 m. From the point cloud data, the inclination angle, height, shape, valley, collapse and loss were evaluated. As a result, various risk assessment parameters can be checked at once. In addition, it is expected to be used as basic data for constructing steep slope DB, providing visualization data, and time series analysis in the future.
Highlights
1.1 Background and Purpose of the StudyThe Republic of Korea is mostly mountainous and has many steep slope areas
Large and small steep slope collapses occur every year, and it is one of the natural disasters that occur frequently due to the weakening of ground during the winter season and wet season
The risk of the steep slope is evaluated by selecting the risk assessment items for each type
Summary
The Republic of Korea is mostly mountainous and has many steep slope areas. Because of these characteristics, large and small steep slope collapses occur every year, and it is one of the natural disasters that occur frequently due to the weakening of ground during the winter season and wet season. The number of occurrences of steep slope accidents is gradually increasing due to urbanization and industrialization It is still under investigation whether collapsing accidents occur frequently either by natural disaster or by human activities (Lee et al, 2014). To evaluate the items in each risk assessment, the investigators directly survey the site using a clino-compass, a laser range finder, and a digital topographical map This method is time-consuming because the investigator has to search for a large area and he may in danger to injury while he is evaluating steep slopes. This study aims to evaluate the feasibility of using the terrestrial LiDAR for precise measurement and wide area scanning in order to minimize manpower and time when performing a steep slope risk assessment
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