Abstract
The Linbeiken area is located in the village of Pingding, Taiwan. Since the Mindulle and Aere Typhoons in 2004, and as a result of the landslide triggered by the continuous heavy rainfall on 9 June 2006, there has been a persistent collapse of side slopes in the area. This paper describes the equipment that was installed to collect on-site topographic and hydrological information in the Linbeiken area upstream of the Pingding River and to monitor changes in the landslide area, as well as the measurements that were collected during the 2008 Typhoon Sinlaku. A case study of a landslide in Pingding, Taiwan was used to monitor the accurate coordinate changes in the potential landslide areas during typhoons. The goal of this study was to establish warning indexes, and to strengthen the software and hardware at the local disaster response center in the hope of gaining a full idea of the surface movement in landslide areas in future flood seasons. This is important for boosting the preparedness to adapt to landslide hazards, for improving disaster warnings, and for reporting efficiently to better protect the lives and property of local residents. The results show that the landslide disaster monitoring and warning system in Taiwan, as applied during Typhoon Sinlaku in 2008, is both effective and comprehensive.
Highlights
Landslides cause significant damage to both people and property
It was determined that the mechanism of side slope failures is successfully triggered when the rainfall in Southern California reaches 140% of its normal rainfall [34,35,36], suggesting that the threshold for Los Angeles is 125% (1993), which was confirmed by Wieczorek [37]
On-site observation equipment was installed, and topographic and hydrological information was collected as a reference for local disaster prevention and response
Summary
Landslides cause significant damage to both people and property. Many studies have researched landslides, such as that of Chen et al [1], which showed the application of the three-dimensional deterministic model to a landslide event in Taiwan. Rainfall Infiltration and Grid-Based Regional Slope-Stability) and DEBRIS-2D (debris flow-two dimensional) models for landslides in Taiwan [2], while Bunn et al and Ramos-Bernal et al [3,4]. Spaceborne Thermal Emission and Reflection Radiometer) imagery research on landslides. Liu et al [5]. Used a geographically weighted regression model for studying landslides in the QingChuan area of China. Liu et al [6] used a variety indexes like the C-, X-, and L-band synthetic aperture radar.
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