JpGU-AGU Joint Meeting 2017

Presentation information

[JJ] Poster

S (Solid Earth Sciences) » S-GL Geology

[S-GL36] [JJ] Regional geology and tectonics

Mon. May 22, 2017 3:30 PM - 5:00 PM Poster Hall (International Exhibition Hall HALL7)

convener:Takeshi Yamagata(Department of Natural Sciences, Komazawa university), Makoto Otsubo(National Institute of Advanced Industrial Science and Technology (AIST), Institute of Earthquake and Volcano Geology)

[SGL36-P15] Slow landslide induced by Typhoon Morakot in central Taiwan via PIV analysis

*Chih-Yen Tsao1, Jyr-Ching Hu1, Chia-Han Tseng2, Hsi-Hung Lin3 (1.Department of Geosciences, National Taiwan University, Taiwan, 2.Academia Sinica, Taiwan, 3.Central Geological Survey, MOEA, Taiwan )

Keywords:landslide, Morakot, Yuchenliao, Particle Image Velocimetry

In 2009, Typhoon Morakot brought heavy rainfall and triggered at least 304 landslides in Yuchenliao, Meishan Township, central Taiwan. Typhoon Morakot produced copious amounts of rainfall, peaking at least 2,888 mm, far surpassing the previous record, 1,736 mm by Typhoon Herb in 1996. Throughout the disaster, various data indicates a great potential of multiple magnitude landslides in these areas. We analyzed three orthorectified aerial photographs of the Yuchenliao area, which were taken in January 2001, January 2007 and August 2009, using the Particle Image Velocimetry (PIV) technique. The sub-pixel correlation of PIV analysis in the Yuchenliao area covers a dimension of 2801×3001 pixels. Our results of the PIV analysis revealed that the maximum horizontal displacement of the landslide in the study area is up to 70 m towards south, and the dimension of the Yuchenliao landslide area is measured about 0.28 km2. In spite of the shallow landslide, the results of PIV show bigger landslide area than the previous research estimated by the movement of characteristic geomorphological features from orthorectified aerial photographs before and after Typhoon Morakot. In addition, the PIV technique could provide the displacement field of slow landslide area which be used to inverse the slip distribution of sliding area to assessment the potential landslide hazard of this slow slide event.