Towards automated real-time detection and location of large-scale landslides through seismic waveform back projection

En Jui Lee, Wu Yu Liao, Guan Wei Lin, Po Chen, Dawei Mu, Ching Weei Lin

研究成果: Article同行評審

11 引文 斯高帕斯(Scopus)

摘要

Rainfall-triggered landslides are one of the most deadly natural hazards in many regions. Seismic recordings have been used to examine source mechanisms and to develop monitoring systems of landslides. We present a semiautomatic algorithm for detecting and locating landslide events using both broadband and short-period recordings and have successfully applied our system to landslides in Taiwan. Compared to local earthquake recordings, the recordings of landslides usually show longer durations and lack distinctive P and S wave arrivals; therefore, the back projection method is adopted for the landslide detection and location. To identify the potential landslide events, the seismic recordings are band-passed from 1 to 3 Hz and the spectrum pattern in the time-frequency domain is used to distinguish landslides from other types of seismic sources based upon carefully selected empirical criteria. Satellite images before and after the detected and located landslide events are used for final confirmation. Our landslide detection and spatial-temporal location system could potentially benefit the establishment of rainfall-triggered landslide forecast models and provide more reliable constraints for physics-based landslide modeling. The accumulating seismic recordings of landslide events could be used as a training dataset for machine learning techniques, which will allow us to fully automate our system in the near future.

原文English
文章編號1426019
期刊Geofluids
2019
DOIs
出版狀態Published - 2019

All Science Journal Classification (ASJC) codes

  • 地球與行星科學(全部)

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