Central Geological Survey, MOEA

About: Central Geological Survey, MOEA is a government organization based out in Taipei, Taiwan. It is known for research contribution in the topics: Landslide & Fault (geology). The organization has 68 authors who have published 81 publications receiving 2037 citations. The organization is also known as: Jīngjì Bù Zhōngyāng Dìzhí Diàochá Suǒ.

Real-Time Monitoring of Deep-Seated Gravitational Slope Deformation in the Taiwan Mountain Belt

Abstract: The deep-seated gravitational slope deformation (DGSD) on mountain areas is widespread and overexploitation has increased the frequency of natural disasters such as landslides, rockslides, and debris flows. In Taiwan, the observation and the analysis of the deep-seated landslides suggest that these are mainly controlled by tectonic structures, which play a dominant role in the deformation of massif slopes. Considerable enhancement for morphometric interpretation can be obtained by means of the integration with Airborne Light Detection And Ranging (LiDAR) technology. On the other hand, surface displacements ranging from a few millimeters to several centimeters can be easily measured by continuous Global Positioning System (GPS). Our study analyzes the characteristics of deep-seated gravitational slope deformation using a multi-technique approach by integrating data from the photogrammetry, LiDAR, GPS, rain gauges and field observations. A continuous GPS site, TENC, located along the southern cross-island highway, Taiwan, shows a huge displacement of about 240 mm during the Morakot typhoon in 2009.

Combination of Rainfall Thresholds and Susceptibility Maps for Early Warning Purposes for Shallow Landslides at Regional Scale in Taiwan

Abstract: In this study, the development of landslide susceptibility and determination of rainfall threshold for shallow landslides is the main purpose for the prevention of slope disaster. For appliance of the practical operation of disaster prevention, almost 185,000 slope units are used to calculate landslide susceptibility and determine the rainfall threshold of shallow landslides, which are a reference of preparation for slope disasters. Time of occurrence of 941 landslides are collected through field investigation, and rainfall pattern of each landslides are analyzed to clarify the relation between landslide and rainfall. Logistic regression (LR) analysis was performed to evaluate landslide susceptibility and establish the assessment method of the rainfall threshold of landslide by using I3–R24 rainfall thresholds. After verification of rainfall-induced landslide in Typhoon Meranti (2016), the result show that the early warning model is suitable for alerting serious swarm of landslides.