TY - JOUR
T1 - Reconstructing the dynamic processes of the Taimali landslide in Taiwan using the waveform inversion method
AU - Lin, Guan Wei
AU - Hung, Ching
N1 - Funding Information:
Funding: This research was funded by the Ministry of Science and Technology of Taiwan.
Funding Information:
Acknowledgments: The authors gratefully acknowledge the financial support of the Ministry of Science and Technology of Taiwan and the Soil and Water Conservation Bureau, Council of Agriculture, Executive Yuan of Taiwan. The source of all seismic and rainfall information included in this paper was the Institute of Earth Sciences, Academia Sinica of Taiwan, and the Seismology Center, Central Weather Bureau (CWB), Taiwan. This research was, in part, supported by the Ministry of Education, Taiwan, ROC, and the headquarters of University Advancement to the National Cheng Kung University (NCKU).
Funding Information:
This research was funded by the Ministry of Science and Technology of Taiwan. The authors gratefully acknowledge the financial support of the Ministry of Science and Technology of Taiwan and the Soil andWater Conservation Bureau, Council of Agriculture, Executive Yuan of Taiwan. The source of all seismic and rainfall information included in this paper was the Institute of Earth Sciences, Academia Sinica of Taiwan, and the Seismology Center, CentralWeather Bureau (CWB), Taiwan. This research was, in part, supported by the Ministry of Education, Taiwan, ROC, and the headquarters of University Advancement to the National Cheng Kung University (NCKU).
Publisher Copyright:
© 2020 by the authors.
PY - 2020/9
Y1 - 2020/9
N2 - As a landslide occurs, seismic signals generated by the mass sliding on the slope can be recorded by seismometers nearby. Using waveform inversion techniques, we can explore the dynamic processes (e.g., sliding direction, velocity, and runout distance) of a landslide with the inverted force-time function. In this study, the point force history (PFH) inversion method was applied to the Taimali landslide in Taiwan, which was triggered by a heavy rainstorm in 2009. The inverted force-time function for the landslide revealed the complicated dynamic processes. The time series of velocity indicated three different sliding directions during the landslide. Hence, three propagating stages of the Taimali landslide were determined and were consistent with an investigation using remote sensing images and a digital elevation model of the landslide. In addition, the PFH inversion was implemented using high-quality single-station records and maintained good performance compared with the inversion by multistation records.
AB - As a landslide occurs, seismic signals generated by the mass sliding on the slope can be recorded by seismometers nearby. Using waveform inversion techniques, we can explore the dynamic processes (e.g., sliding direction, velocity, and runout distance) of a landslide with the inverted force-time function. In this study, the point force history (PFH) inversion method was applied to the Taimali landslide in Taiwan, which was triggered by a heavy rainstorm in 2009. The inverted force-time function for the landslide revealed the complicated dynamic processes. The time series of velocity indicated three different sliding directions during the landslide. Hence, three propagating stages of the Taimali landslide were determined and were consistent with an investigation using remote sensing images and a digital elevation model of the landslide. In addition, the PFH inversion was implemented using high-quality single-station records and maintained good performance compared with the inversion by multistation records.
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U2 - 10.3390/app10175872
DO - 10.3390/app10175872
M3 - Article
AN - SCOPUS:85090205255
SN - 2076-3417
VL - 10
JO - Applied Sciences (Switzerland)
JF - Applied Sciences (Switzerland)
IS - 17
M1 - 5872
ER -