Landslide seismic magnitude
Journal
Earth and Planetary Science Letters
Journal Volume
429
Pages
122-127
Date Issued
2015
Author(s)
Abstract
Landslides have become one of the most deadly natural disasters on earth, not only due to a significant increase in extreme climate change caused by global warming, but also rapid economic development in topographic relief areas. How to detect landslides using a real-time system has become an important question for reducing possible landslide impacts on human society. However, traditional detection of landslides, either through direct surveys in the field or remote sensing images obtained via aircraft or satellites, is highly time consuming. Here we analyze very long period seismic signals (20-50 s) generated by large landslides such as Typhoon Morakot, which passed though Taiwan in August 2009. In addition to successfully locating 109 large landslides, we define landslide seismic magnitude based on an empirical formula: Lm = log(A) + 0.55 log(δ) + 2.44, where A is the maximum displacement (μm) recorded at one seismic station and δ is its distance (km) from the landslide. We conclude that both the location and seismic magnitude of large landslides can be rapidly estimated from broadband seismic networks for both academic and applied purposes, similar to earthquake monitoring. We suggest a real-time algorithm be set up for routine monitoring of landslides in places where they pose a frequent threat. © 2015 Elsevier B.V.
Subjects
Hsiaolin landslide; Landslide; Landslide prevention; Seismic b-value; Seismic magnitude
Other Subjects
Aircraft accidents; Aircraft detection; Climate change; Disasters; Earth (planet); Fighter aircraft; Global warming; Image reconstruction; Interactive computer systems; Landslides; Real time systems; Remote sensing; Seismology; B value; Broadband seismic network; Earthquake monitoring; Economic development; Maximum displacement; Real time algorithms; Remote sensing images; Seismic magnitude; Earthquakes; displacement; earthquake magnitude; landslide; remote sensing; seismicity
Type
journal article